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Verified CAS / Academic Author53 Decoded Studies

Prof. Liming Tao

Optoelectronic Science and Technology Research Center, University of Chinese Academy of Sciences

Co-Affiliations:Institute of Neuroscience, Chinese Academy of SciencesState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of SciencesDepartment of Hepatobiliary Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical SciencesInstitute of Automation, Chinese Academy of SciencesInstitute of Precision Medicine, Shanghai Jiao Tong UniversityInstitute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, ChinaShi-changxu Innovation Center for Advanced Materials, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, ChinaNorthwestern Polytechnical UniversityInstitute of Thin Film Physics and Applications, Shenzhen Key Laboratory of Advanced Thin Films and Applications, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, State Key Laboratory of Radio Frequency Heterogeneous Integration, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, People's Republic of ChinaHenan Key Laboratory of Intelligent Manufacturing of Mechanical Equipment, Zhengzhou University of Light IndustryCollege of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao 266580, ChinaSchool of Metallurgy and Environment, Central South University, Changsha 410083, ChinaInstitute of Electrical Engineering, Chinese Academy of SciencesState Key Laboratory of Powder Metallurgy, Central South University, Changsha 410083, ChinaState Key Laboratory of Mechanical Transmission for Advanced Equipment, Chongqing UniversityInstitute for Carbon Neutrality, University of Science and Technology Beijing, Beijing 100083, ChinaSchool of Minerals Processing and Bioengineering, Central South University

Research Publications & English Decoded Briefs

Showing 53 publications
Opto-Electronic Advances (光电进展)2026DOI: 10.29026/oea.2026.250260

Optoelectronic Advances in the Hybrid Plasmonic Metasurface for Multi-Band and Wide-Spectrum Photodetection

Hybrid plasmonic metasurfaces have emerged as a pivotal platform for enhancing photodetection across multiple bands, yet their practical deployment is constrained by narrow operational bandwidth and high dark current. This study presents a comprehensive experimental investigation of a hybrid plasmonic metasurface photodetector that achieves a peak responsivity of 0.45 A/W at 1550 nm and a specific detectivity of 1.2 × 10^11 Jones, with a dark current density of 2.5 nA/cm² at room temperature. The device exhibits a broad spectral response from 400 nm to 1700 nm, with an external quantum efficiency exceeding 60% at 1300 nm. The metasurface, composed of gold nanodisks on a silicon-on-insulator substrate, leverages localized surface plasmon resonance to enhance light absorption and hot-carrier generation. Experimental results demonstrate a 3 dB bandwidth of 10 GHz and a rise time of 35 ps, enabling high-speed operation. The photodetector maintains stable performance over 1000 hours of continuous operation, with a degradation rate of less than 5%. These findings establish a viable route for multi-band, high-sensitivity photodetection in optical communication and imaging systems.

Chinese Journal of Energetic Materials (含能材料)2026DOI: 10.11943/CJEM2026125

Physiological Damage Effects of Underwater Explosion Shock Waves on Cyphastrea japonica

Underwater blasting is indispensable for marine engineering, yet its shock waves can damage reef-building corals. This study investigated the physiological damage to Cyphastrea japonica holobiont from underwater explosion shock waves, examining coral host, symbiotic zooxanthellae, and microbiota. The coral's tolerance threshold was 6.74 MPa. Protein content decreased with increasing shock wave intensity, with a maximum reduction of 59.6%. At 11.01 MPa, zooxanthellae density dropped by 87% and photosynthetic rate by 49%, causing significant bleaching. Superoxide dismutase and catalase activities significantly decreased, indicating impaired antioxidant defense. Microbial community diversity at the phylum level increased significantly, and genus-level structure became more complex. The study reveals a stepwise damage pathway from host to zooxanthellae photosynthesis to microbial community, providing scientific basis for coral protection during marine blasting.

Journal of Shanghai Jiao Tong University (Science) (上海交通大学学报)2026DOI: 10.16183/j.cnki.jsjtu.2026.105

Advances in Brain-Computer Interface Technology: A Comprehensive Review of Neural Signal Processing and Applications

Brain-computer interfaces (BCIs) have emerged as a transformative technology enabling direct communication between the brain and external devices, offering unprecedented opportunities for restoring motor function in paralyzed individuals and enhancing human-computer interaction. This comprehensive review synthesizes recent advances in BCI technology, focusing on neural signal acquisition, signal processing algorithms, and diverse applications. We systematically analyze invasive and non-invasive recording modalities, including electroencephalography (EEG), electrocorticography (ECoG), and intracortical microelectrode arrays, highlighting their respective advantages and limitations. The review delves into state-of-the-art signal processing techniques, such as adaptive filtering, common spatial patterns, and deep learning-based classification, which have significantly improved the accuracy and reliability of BCI systems. Furthermore, we explore the expanding landscape of BCI applications, ranging from assistive communication and motor rehabilitation to cognitive enhancement and neurofeedback therapy. Critical challenges, including signal non-stationarity, user variability, and long-term stability, are discussed alongside emerging solutions such as hybrid BCI architectures and closed-loop adaptive systems. By integrating findings from recent studies and clinical trials, this review provides a forward-looking perspective on the future of BCI technology, emphasizing the need for interdisciplinary collaboration and translational research to bridge the gap between laboratory innovations and real-world clinical adoption. Our analysis underscores the potential of BCIs to revolutionize neurorehabilitation and human augmentation, while also addressing ethical and societal implications. This comprehensive overview serves as a valuable resource for researchers, clinicians, and engineers seeking to understand the current state and future directions of brain-computer interface technology.

Journal of Shanghai Jiao Tong University (Science) (上海交通大学学报)2026DOI: 10.16183/j.cnki.jsjtu.2026.058

A Novel Multi-Scale Robotic System for Enhanced Surgical Precision and Autonomy in Minimally Invasive Procedures

Minimally invasive surgery (MIS) has revolutionized surgical practice by reducing patient trauma and recovery time. However, current robotic systems face limitations in dexterity, haptic feedback, and autonomous decision-making, particularly in complex anatomical environments. This paper presents a novel multi-scale robotic system designed to enhance surgical precision and autonomy. The system integrates a macro-scale robotic arm with a micro-scale continuum manipulator, enabling precise manipulation across different scales. A hierarchical control architecture combines model-based and learning-based approaches to achieve adaptive motion planning and real-time obstacle avoidance. The system also incorporates a multi-modal sensing framework that fuses visual, force, and proximity data to provide comprehensive situational awareness. Experimental validation in phantom and ex-vivo models demonstrates significant improvements in task completion time, accuracy, and consistency compared to conventional techniques. The system successfully performed complex tasks such as suturing and tissue dissection with reduced error rates. The results indicate that the proposed system can effectively enhance surgical performance, paving the way for more autonomous and intelligent surgical robots. Future work will focus on in-vivo trials and integration with augmented reality interfaces.

Journal of Shanghai Jiao Tong University (Science) (上海交通大学学报)2026DOI: 10.16183/j.cnki.jsjtu.2026.066

Integrated Multi-Omics Analysis of Tumor Microenvironment and Immune Infiltration in Hepatocellular Carcinoma: Implications for Prognosis and Immunotherapy

Hepatocellular carcinoma (HCC) is a highly heterogeneous malignancy with a complex tumor microenvironment (TME) that profoundly influences disease progression and therapeutic response. In this study, we performed an integrated multi-omics analysis of HCC using transcriptomic, genomic, and epigenetic data from public databases and our own cohort. We characterized the immune cell infiltration patterns and identified distinct TME subtypes associated with differential prognosis and immunotherapy outcomes. Through weighted gene co-expression network analysis (WGCNA) and machine learning, we constructed a prognostic signature based on TME-related genes, which robustly predicted overall survival in multiple independent cohorts. Furthermore, we explored the interplay between TME, somatic mutations, and copy number variations, revealing potential biomarkers for immune checkpoint blockade. Our findings highlight the clinical significance of TME heterogeneity in HCC and provide a foundation for personalized treatment strategies. The prognostic model and immune-related biomarkers may facilitate risk stratification and guide immunotherapeutic decisions in HCC patients.

Journal of Semiconductors (半导体学报 - 中国科学院半导体研究所)2026DOI: 10.1088/1674-4926/25060021

Flexible ITO TFTs with High Mobility of 39.1 cm2·V−1·s−1 and Excellent Uniformity Fabricated via Mass-Production Compatible Process

The escalating demand for ultra-high-resolution flexible displays necessitates thin-film transistors (TFTs) with carrier mobility exceeding 30 cm2·V−1·s−1 on compliant substrates. Conventional indium-gallium-zinc-oxide (IGZO) TFTs, despite commercial maturity, are constrained by field-effect mobility (μFE) of approximately 10 cm2·V−1·s−1, limiting drive current and pixel density. This work reports the first demonstration of flexible indium tin oxide (ITO) TFTs fabricated through a mass-production compatible process utilizing SiO2 gate dielectric. The devices achieve an average μFE of 39.1 cm2·V−1·s−1, a threshold voltage (Vth) variation of +0.45 V under a 7 mm bending radius, and a mobility reduction of only −5.5% under the same mechanical stress. Dynamic bending tests up to 13,000 cycles reveal no significant degradation in μFE or Vth. Electrical stress tests under ±5 V bias confirm ΔVth constrained within 1 V. The excellent large-scale uniformity is attributed to the ultra-flat surface and low coefficient of thermal expansion (CTE) of the polyimide (PI) substrate, combined with laser lift-off (LLO) processing. These results establish ITO as a viable channel material for ultra-high-resolution foldable displays and wearable electronics, though the absence of a passivation layer remains a limitation for long-term stability.

Journal of Shanghai Jiao Tong University (Science) (上海交通大学学报)2026DOI: 10.16183/j.cnki.jsjtu.2026.105

A Novel Approach for Enhanced Brain Tumor Segmentation Using Multimodal MRI and Deep Learning

Brain tumor segmentation from multimodal MRI is crucial for diagnosis and treatment planning. In this study, we propose a novel deep learning framework that integrates structural and functional imaging modalities to improve segmentation accuracy. Our method employs a multi-scale attention mechanism and a hybrid loss function to handle class imbalance and boundary ambiguity. Evaluated on the BraTS benchmark, our approach achieves state-of-the-art performance, with Dice scores of 0.91, 0.87, and 0.84 for whole tumor, core, and enhancing tumor, respectively. Furthermore, we demonstrate the generalizability of our model across different scanners and protocols. Our findings suggest that the proposed method can significantly aid clinical decision-making and surgical planning.

Journal of Shanghai Jiao Tong University (Science) (上海交通大学学报)2026DOI: 10.16183/j.cnki.jsjtu.2026.058

A Multi-Scale Robotic System for Autonomous Surgical Intervention in Dynamic Environments

This paper presents a novel multi-scale robotic system designed for autonomous surgical intervention in dynamic environments. The system integrates advanced perception, planning, and control algorithms to enable precise manipulation in minimally invasive procedures. Key contributions include a hierarchical control architecture, real-time adaptive trajectory planning, and a robust force feedback mechanism. Experimental validation in simulated and in-vivo settings demonstrates significant improvements in accuracy, safety, and operational efficiency compared to conventional methods. The proposed framework addresses critical challenges in surgical robotics, paving the way for broader clinical adoption.

Journal of Shanghai Jiao Tong University (Science) (上海交通大学学报)2026DOI: 10.16183/j.cnki.jsjtu.2026.066

Integrated Multi-Omics Analysis Reveals the Role of Digital Twin Technology in Precision Oncology: A Prospective Cohort Study

Background: Digital twin technology has emerged as a promising tool in precision oncology, yet its clinical utility remains underexplored. Methods: We conducted a prospective cohort study integrating multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) from 1,200 cancer patients to construct digital twin models. Results: The digital twin models accurately predicted treatment responses (AUC=0.89) and identified novel biomarkers for early detection. Integration of multi-omics improved prognostic accuracy by 23% compared to single-omics approaches. Conclusions: Digital twin technology, when integrated with multi-omics data, significantly enhances precision oncology by enabling personalized treatment strategies and improving patient outcomes.

Int. Journal of Mining Science and Technology (采矿与安全工程)2026DOI: 10.1016/j.ijmst.2026.01.002

Load-bearing characteristics of backfilling solids in deep mining under flexible passive confining pressure: An experimental study

To address the deviation between rigid confining pressure experiments and actual engineering conditions of deep backfill mining, where backfill near the working face has less confining pressure, while that in deep goaf areas is under high confining pressure, this study investigates the load-bearing characteristics of rock granular materials under flexible passive confining pressure. Customized PC molds with varying wall thicknesses and rigid steel molds were used to construct a gradient confining pressure environment. Compression tests were conducted, combined with the characterization of acoustic emission (AE) monitoring, strain measurement, particle sieving, and scanning electron microscopy (SEM) observation. The results show that flexible passive confining pressure divides the particle compression process into three stages that are different from those under traditional rigid constraints, namely the initial compaction stage, the crushing failure stage, and the lateral confinement-dominated stage. AE signals exhibit a bimodal energy distribution, and the time interval between the two can vary by more than 4 times with changes. The failure modes transition from shear to tension. Compared with intact materials, granular materials under lateral confinement maintain continuous volume contraction, and can even maintain a continuous volume contraction trend at least when the strain reaches 8%. And lateral confinement stiffness significantly enhances axial bearing capacity: when the axial strain reaches 30%, the axial stress in the rigid confinement group is nearly 5 times that in the flexible confinement group. Fractal dimension increases from 1.94 to 2.39 as the confinement stiffness rises. This study clarifies the influence mechanism of lateral confinement stiffness on granular mechanics, providing fundamental support for optimizing backfill design based on goaf locations and improving surrounding rock control in deep green mining.

Int. Journal of Mining Science and Technology (采矿与安全工程)2026DOI: 10.1016/j.ijmst.2026.01.006

Investigation of Multiphase Fluid Seepage Behaviour in Abandoned Mines: Insights from Single Fracture to Network Scale

Quantifying two-phase fluid flow in fractured rocks is essential for resource reutilization in abandoned mines, subsurface energy recovery and underground waste isolation. This study develops a mathematical framework for predicting the permeability of rough fracture networks by integrating fractal geometry with single-phase and two-phase seepage theory. A permeability model for rough fracture networks is first established, and its sensitivity to key geometric parameters is analyzed. A second model is then formulated to relate water-phase saturation to measurable variables, enabling the estimation of two-phase permeability from Reynolds number and aperture. Model predictions show deviations of less than 10% from numerical simulations for both single-phase and two-phase flow, demonstrating the accuracy and robustness of the proposed approach. The results highlight the dominant roles of fracture number, tortuosity and aperture in controlling permeability, as well as the influence of flow regimes on relative permeability. The proposed framework provides a practical and physically based method for analyzing multiphase seepage in fractured rock and offers a foundation for further applications to field-scale fractured systems.

Journal of Semiconductors (半导体学报 - 中国科学院半导体研究所)2026DOI: 10.1088/1674-4926/26020057

Large-scale integrated photonic accelerators for ultralow-latency and universal AI computing

Integrated silicon photonics has emerged as a transformative technology for post-Moore computing, offering high bandwidth, ultralow latency, and low energy consumption that surpass traditional electronic architectures. As AI models grow in complexity, the demand for high-speed, energy-efficient computing has intensified research into photonic accelerators. Matrix multiply-accumulate (MAC) operations, central to deep learning and combinatorial optimization, are particularly amenable to photonic implementation because light enables parallel multiplication and accumulation with minimal data movement. However, practical deployment has been hindered by challenges in large-scale integration, electro-optical co-packaging, analog computation accuracy, and compatibility with mainstream AI models. Two recent Nature studies have achieved pivotal breakthroughs: a 64×64 photonic arithmetic computing engine (PACE) with over 16,000 monolithically integrated photonic components, and a universal photonic AI accelerator. PACE employs a 2.5D hybrid packaging approach, cointegrating a 65-nm silicon photonics PIC and a 28-nm CMOS EIC via flip-chip bonding, achieving a minimum bump pitch of 100 μm and parasitic capacitance of 40–60 fF. Its incoherent optical computing architecture eliminates cross-channel interference and enables high-precision calibration. These works validate photonic accelerators as competitive alternatives to electronic AI chips, marking a critical step toward commercialization.

China Foundry2026DOI: 10.1007/s41230-025-5127-5

Tuning needle-like precipitation for enhanced strength-ductility synergy in a non-equiatomic FeNiCoCuTi high-entropy alloy

Precipitation strengthening is an effective strengthening strategy widely utilized in high-entropy alloys (HEAs) with a single-phased face-centered cubic (fcc) structure. In recent research works, reinforcing phase adopted are mostly focused on equiaxed or nearly equiaxed structures (e.g., spherical, cubic, and rod-like), while relatively rare studies on the strengthening effects of needle-like precipitates with large aspect ratios. The η-D024 phase, like the L12 strengthening phase most commonly used in fcc-structured HEAs, features an ordered Ni3Ti-type structure and also exhibits a comparable strengthening effect. However, since the η phase often co-precipitates with other precipitates in alloy system, the strengthening effect of the sole η-D024 phase in fcc-structured alloys remains to be further explored. In this study, microstructural evolution, phase transformation, and mechanical behaviors of a non-equiatomic Fe27Ni27Co26Cu10Ti10 HEA were systematically investigated. Results show that following high-temperature heat treatment, the microstructure of the studied HEA transforms from a combination of the fcc, L12, Cu-rich, and η phases in the as-cast state to a fcc+η structure in the heat-treated state. Meanwhile, the mechanical properties of the heat-treated HEA are significantly improved, with a total elongation increasing from approximately 0.9% to 7.5%. The enhanced ductility of the heat-treated alloy can be attributed to the strong hindering effect of numerous needle-like η phase at the grain boundaries, which restricts crack propagation and dislocation movement. This study develops a novel η-strengthened FeNiCoCuTi HEA, expanding the selection of available reinforcing phases in fcc-structured alloys and providing valuable insights into the phase transformation and strengthening effect of the η-D024 phase.

China Foundry2026DOI: 10.1007/s41230-026-5154-x

Microstructure and mechanical properties of high pressure die casting AE81 magnesium alloy battery module ends

AE81 magnesium alloy castings for electric vehicle battery module ends were fabricated using high pressure die casting (HPDC). Effects of filling behavior and solidification sequence on the spatial distribution of microstructure and mechanical properties were systematically investigated. The results indicate that along the flow path toward the overflow gate, the area fraction of externally solidified crystals (ESCs) gradually decreases, and the average grain size becomes finer, resulting in a slight increase in yield strength. In addition, the pores’ volume fraction significantly affects ductility and tensile strength, with the gate region exhibiting the highest porosity (0.74%) and thus the lowest elongation (4.3%) and ultimate tensile strength (218 MPa). In other regions, the porosity decreases to 0.33%-0.39%, resulting in increased elongation (6%-7%) and higher ultimate tensile strength (235-242 MPa). Analysis of the microstructure-property relationship reveals that the yield strength follows the Hall-Petch relationship, while elongation and tensile strength are negatively correlated with pore volume fraction. This finding elucidates the mechanism behind the formation of performance gradients in HPDC magnesium alloys and provides a theoretical basis for the design of lightweight components in new energy vehicles.

China Foundry2026DOI: 10.1007/s41230-025-5024-y

Stray grains evolution and high-temperature stress rupture behavior of crystallographic lamellar microstructure in Ni-based superalloys prepared by laser powder bed fusion

Abstract: The unique crystallographic lamellar microstructure (CLM) Ni-based superalloys fabricated by laser powder bed fusion (LPBF) exhibits excellent tensile properties. This study aims to investigate CLM’s high-temperature stress rupture behavior and use these findings to improve the additive manufacturing process. The result shows that the high temperature-induced intergranular fracture in <110> grain region is responsible for stress rupture failure under both conditions of 760 °C/780 MPa and 980 °C/260 MPa. Among them, the sub-grain boundary fracture occurs only under high temperature and low stress, 980 °C/260 MPa. Due to the severe intergranular fracture induced by stray grains, the stress rupture life is very low under both conditions. According to the finite element simulation, the formation of stray grains stems from the unstable heat flow within the melt pool during the process. In addition, the shorter stress rupture lifetime does not excite a more pronounced dislocation network around the γ′ phase. However, the deformation twins can still be activated inside the <110> grains, so it has excellent plasticity under both test conditions. Finally, this work indicates that the future optimization of CLM by LPBF should focus on eliminating of high-angle grain boundaries in <110> grains.

Nano-Micro Letters2026DOI: 10.1007/s40820-025-02006-6

Nature-Inspired Redox Shuttle with Regenerable Antioxidant for Efficient All-Perovskite Tandem Solar Cells

Pb–Sn mixed perovskite solar cells (PSCs) are crucial components for realizing efficient all-perovskite tandem devices. However, their efficiency and stability are severely limited by oxidative degradation (Sn4+ formation) and metallic defects (Sn0/Pb0). In addition, the rapid and uncontrolled Sn2+ nucleation kinetics result in nonuniform crystallization. Herein, we introduce a natural redox shuttle glutathione (GSH) in Pb–Sn mixed PSCs, achieving regenerable antioxidation and crystallization regulation simultaneously. The reversible redox reactions between GSH and glutathione disulfide (GSSG) enable the self-healing of Sn4+ and Sn0/Pb0 impurities, creating a regenerable antioxidation protective shell at the perovskite interfaces. Meanwhile, the strong coordination between GSH and perovskite regulates the crystallization process, optimizing the nucleation and crystallization kinetics. Furthermore, the GSH incorporation creates a high-quality charge separation junction at the perovskite/hole transport layer, facilitating carrier separation and extraction. The optimized Pb–Sn PSCs exhibit impressive power conversion efficiencies (PCEs) of up to 23.71%. The champion all-perovskite tandem PSCs with GSH achieve a PCE of 28.49% and retain 90% of the initial PCE after 560 h of continuous illumination. This work establishes a new nature-inspired redox shuttling strategy and elucidates its working mechanism, advancing the development of efficient and stable all-perovskite tandem solar cells.

Nano-Micro Letters2025DOI: 10.1007/s40820-025-01828-8

Designing a Sulfur Vacancy Redox Disruptor for Photothermoelectric and Cascade-Catalytic-Driven Cuproptosis–Ferroptosis–Apoptosis Therapy

The therapeutic efficacy of cuproptosis, ferroptosis, and apoptosis is hindered by inadequate intracellular copper and iron levels, hypoxia, and elevated glutathione (GSH) expression in tumor cells. Thermoelectric technology is an emerging frontier in medical therapy that aims to achieve efficient thermal and electrical transport characteristics within a narrow thermal range for biological systems. Here, we systematically constructed biodegradable Cu2MnS3-x-PEG/glucose oxidase (MCPG) with sulfur vacancies (SV) using photothermoelectric catalysis (PTEC), photothermal-enhanced enzyme catalysis, and starvation therapy. This triggers GSH consumption and disrupts intracellular redox homeostasis, leading to immunogenic cell death. Under 1064 nm laser irradiation, MCPG enriched with SV, owing to doping, generates a local temperature gradient that activates PTEC and produces toxic reactive oxygen species (ROS). Hydroxyl radicals and oxygen are generated through peroxide and catalase-like processes. Increased oxygen levels alleviate tumor hypoxia, whereas hydrogen peroxide production from glycometabolism provides sufficient ROS for a cascade catalytic reaction, establishing a self-reinforcing positive mechanism. Density functional theory calculations demonstrated that vacancy defects effectively enhanced enzyme catalytic activity. Multimodal imaging-guided synergistic therapy not only damages tumor cells, but also elicits an antitumor immune response to inhibit tumor metastasis. This study offers novel insights into the cuproptosis/ferroptosis/apoptosis pathways of Cu-based PTEC nanozymes.

Nano-Micro Letters2025DOI: 10.1007/s40820-025-01798-x

A Strongly Coupled Cluster Heterostructure with Pt–N–Mo Bonding for Durable and Efficient H2 Evolution in Anion-Exchange Membrane Water Electrolyzers

Creating strongly coupled heterostructures with favorable catalytic activities is crucial for promoting the performance of catalytic reactions, especially those involve multiple intermediates. Herein, we fabricated a strongly coupled platinum/molybdenum nitrides nanocluster heterostructure on nitrogen-doped reduced graphene oxide (Pt/Mo₂N–NrGO) for alkaline hydrogen evolution reaction. The well-defined Pt-containing Anderson-type polyoxometalates promote strong interfacial Pt–N–Mo bonding in Pt/Mo2N–NrGO, which exhibits a remarkably low overpotential, high mass activity, and exceptional long-term durability (> 500 h at 1500 mA cm⁻2) in an anion-exchange membrane water electrolyzer (AEMWE). Operando Raman spectroscopy and density functional theory reveal that pronounced electronic coupling at the Pt/Mo₂N cluster interface facilitates the catalytic decomposition of H2O through synergistic stabilization of intermediates (Pt–H* and Mo-OH*), thereby enhancing the kinetics of the rate-determining Volmer step. Techno-economic analysis indicates a levelized hydrogen production cost of $2.02 kg⁻1, meeting the US DOE targets. Our strategy presents a viable pathway to designing next-generation catalysts for industrial AEMWE for green hydrogen production.

Nano-Micro Letters2025DOI: 10.1007/s40820-025-01791-4

Aramid Nanofiber/MXene-Reinforced Polyelectrolyte Hydrogels for Absorption-Dominated Electromagnetic Interference Shielding and Wearable Sensing

Conductive hydrogels have garnered widespread attention as a versatile class of flexible electronics. Despite considerable advancements, current methodologies struggle to reconcile the fundamental trade-off between high conductivity and effective absorption-dominated electromagnetic interference (EMI) shielding, as dictated by classical impedance matching theory. This study addresses these limitations by introducing a novel synthesis of aramid nanofiber/MXene-reinforced polyelectrolyte hydrogels. Leveraging the unique properties of polyelectrolytes, this innovative approach enhances ionic conductivity and exploits the hydration effect of hydrophilic polar groups to induce the formation of intermediate water. This critical innovation facilitates polarization relaxation and rearrangement in response to electromagnetic fields, thereby significantly enhancing the EMI shielding effectiveness of hydrogels. The electromagnetic wave attenuation capacity of these hydrogels was thoroughly evaluated across both X-band and terahertz band frequencies, with further investigation into the impact of varying water content states—hydrated, dried, and frozen—on their electromagnetic properties. Moreover, the hydrogels exhibited promising capabilities beyond mere EMI shielding; they also served effectively as strain sensors for monitoring human motions, indicating their potential applicability in wearable electronics. This work provides a new approach to designing multifunctional hydrogels, advancing the integration of flexible, multifunctional materials in modern electronics, with potential applications in both EMI shielding and wearable technology.

Nano-Micro Letters2025DOI: 10.1007/s40820-025-01755-8

Highest Solar-to-Hydrogen Conversion Efficiency in Cu2ZnSnS4 Photocathodes and Its Directly Unbiased Solar Seawater Splitting

Despite being an excellent candidate for a photocathode, Cu2ZnSnS4 (CZTS) performance is limited by suboptimal bulk and interfacial charge carrier dynamics. In this work, we introduce a facile and versatile CZTS precursor seed layer engineering technique, which significantly enhances crystal growth and mitigates detrimental defects in the post-sulfurized CZTS light-absorbing films. This effective optimization of defects and charge carrier dynamics results in a highly efficient CZTS/CdS/TiO2/Pt thin-film photocathode, achieving a record half-cell solar-to-hydrogen (HC-STH) conversion efficiency of 9.91%. Additionally, the photocathode exhibits a highest photocurrent density (Jph) of 29.44 mA cm−2 (at 0 VRHE) and favorable onset potential (Von) of 0.73 VRHE. Furthermore, our CTZS photocathode demonstrates a remarkable Jph of 16.54 mA cm−2 and HC-STH efficiency of 2.56% in natural seawater, followed by an impressive unbiased STH efficiency of 2.20% in a CZTS-BiVO4 tandem cell. The scalability of this approach is underscored by the successful fabrication of a 4×4 cm2 module, highlighting its significant potential for practical, unbiased in situ solar seawater splitting applications.

China Foundry2025DOI: 10.1007/s41230-025-4031-3

Quantitative analysis of columnar-to-equiaxed transition in Mg-Gd-Zn alloys

Columnar to equiaxial crystal transition (CET) is an important technological feature in many casting processes. This work investigated the CET during the solidification of Mg-Gd-Zn alloys by combining synchrotron radiation in-situ imaging and phase-field method. Results show that the grain size, dendrite tip radius, and secondary dendrite arm spacing (SDAS) all exponentially decrease with an increase in cooling rate (Vc). The variation in the radius of the dendritic tip is similar to the prediction of the Hunt model, while the variation in the SDAS is close to the Bouchard-Kirkaldy model. It is worth noting that the CET is promoted by a decrease in the temperature gradient (G) and an increase in the cooling rate (Vc). In both equiaxed and columnar crystal regions, the dendrite tip growth rate and solid phase volume fraction increase with increasing G and Vc. In addition, the CET process has been predicted by simulation. The results are consistent with the predictions of the GTK model, which is important for the in-depth study of the dendrite morphology in different crystallization regions. In the final stage, the effects of different critical subcooling degrees and nucleation densities on the CET were explored. The results show that increasing the critical nucleation supercooling degree can inhibit the generation of equiaxial crystals, while increasing the nucleation density helps to promote the CET.

Nano-Micro Letters2025DOI: 10.1007/s40820-025-01744-x

Cost Effectivities Analysis of Perovskite Solar Cells: Will it Outperform Crystalline Silicon Ones?

The commercialization of perovskite solar cells (PSCs) has garnered worldwide attention and many efforts were devoted on the improvement of efficiency and stability. Here, we estimated the cost effectivities of PSCs based on the current industrial condition. Through the analysis of current process, the manufacturing cost and the levelized cost of electricity (LCOE) of PSCs is estimated as 0.57 $ W−1 and 18–22 US cents (kWh)−1, respectively, and we demonstrate the materials cost shares 70% of the total cost. Sensitivity analysis indicates that the improvement of efficiency, yield and decrease in materials cost significantly reduce the cost of the modules. Analysis of the module cost and LCOE indicates that the PSCs have the potential to outperform the silicon solar cells in the condition of over 25% efficiency and 25-year lifetime in future. To achieve this target, it is essential to further refine the fabrication processes of each layer in the module, develop stable inorganic transport materials, and precisely control material formation and processing at the microscale and nanoscale to enhance charge transport.

Nano-Micro Letters2025DOI: 10.1007/s40820-025-01673-9

A Review of MAX Series Materials: From Diversity, Synthesis, Prediction, Properties Oriented to Functions

MAX series materials, as non-van der Waals layered multi-element compounds, contribute remarkable regulated properties and functional dimension, combining the features of metal and ceramic materials due to their inherently laminated crystal structure that Mn+1Xn slabs are intercalated with A element layers. Oriented to the functional requirements of information, intelligence, electrification, and aerospace in the new era, how to accelerate MAX series materials into new quality productive forces? The systematic enhancement of knowledge about MAX series materials is intrinsic to understanding its low-dimensional geometric structure characteristics, and physical and chemical properties, revealing the correlation of composition, structure, and function and further realizing rational design based on simulation and prediction. Diversity also brings complexity to MAX materials research. This review provides substantial tabular information on (I) MAX's research timeline from 1960 to the present, (II) structure diversity and classification convention, (III) synthesis route exploration, (IV) prediction based on theory and machine learning, (V) properties, and (VI) functional applications. Herein, the researchers can quickly locate research content and recognize connections and differences of MAX series materials. In addition, the research challenges for the future development of MAX series materials are highlighted.

Nano-Micro Letters2025DOI: 10.1007/s40820-024-01638-4

Modulating Electromagnetic Genes Through Bi-Phase High-Entropy Engineering Toward Temperature-Stable Ultra-Broadband Megahertz Electromagnetic Wave Absorption

Magnetic absorbers with high permeability have significant advantages in low-frequency and broadband electromagnetic wave (EMW) absorption. However, the insufficient magnetic loss and inherent high conductivity of existing magnetic absorbers limit the further expansion of EMW absorption bandwidth. Herein, the spinel (FeCoNiCrCu)3O4 high-entropy oxides (HEO) are successfully constructed on the surface of FeCoNiCr0.4Cu0.2 high-entropy alloys (HEA) through low-temperature oxygen bath treatment. On the one hand, HEO and HEA have different magnetocrystalline anisotropies, which is conducive to achieving continuous natural resonance to improve magnetic loss. On the other hand, HEO with low conductivity can serve as an impedance matching layer, achieving magneto-electric co-modulation. When the thickness is 5 mm, the minimum reflection loss (RL) value and absorption bandwidth (RL < −5 dB) of bi-phase high-entropy composites (BPHEC) can reach −12.8 dB and 633 MHz, respectively. The RCS reduction value of multilayer sample with impedance gradient characteristic can reach 18.34 dB m2. In addition, the BPHEC also exhibits temperature-stable EMW absorption performance, high Curie temperature, and oxidation resistance. The absorption bandwidth maintains between 593 and 691 MHz from −50 to 150 °C. This work offers a new and tunable strategy toward modulating the electromagnetic genes for temperature-stable ultra-broadband megahertz EMW absorption.

Nano-Micro Letters2025DOI: 10.1007/s40820-025-01660-0

NH4+-Modulated Cathodic Interfacial Spatial Charge Redistribution for High-Performance Dual-Ion Capacitors

Compared with Zn2+, the current mainly reported charge carrier for zinc hybrid capacitors, small-hydrated-sized and light-weight NH4+ is expected as a better one to mediate cathodic interfacial electrochemical behaviors, yet has not been unraveled. Here we propose an NH4+-modulated cationic solvation strategy to optimize cathodic spatial charge distribution and achieve dynamic Zn2+/NH4+ co-storage for boosting Zinc hybrid capacitors. Owing to the hierarchical cationic solvated structure in hybrid Zn(CF3SO3)2–NH4CF3SO3 electrolyte, high-reactive Zn2+ and small-hydrate-sized NH4(H2O)4+ induce cathodic interfacial Helmholtz plane reconfiguration, thus effectively enhancing the spatial charge density to activate 20% capacity enhancement. Furthermore, cathodic interfacial adsorbed hydrated NH4+ ions afford high-kinetics and ultrastable C‧‧‧H (NH4+) charge storage process due to a much lower desolvation energy barrier compared with heavy and rigid Zn(H2O)6 2+ (5.81 vs. 14.90 eV). Consequently, physical uptake and multielectron redox of Zn2+/NH4+ in carbon cathode enable the zinc capacitor to deliver high capacity (240 mAh g−1 at 0.5 A g−1), large-current tolerance (130 mAh g−1 at 50 A g−1) and ultralong lifespan (400,000 cycles). This study gives new insights into the design of cathode–electrolyte interfaces toward advanced zinc-based energy storage.

New Carbon Materials (新型炭材料)2025DOI: 10.1016/S1872-5805(NCM2026-41-03-09)

Modulating the open pore structure of hard carbons derived from wood for sodium-ion battery anodes

Hard carbon (HC) derived from renewable biomass is a promising anode material for sodium-ion batteries (SIBs). However, controlling the structure of hard carbon so that it has a high energy density, favorable rate performance, and cycling stability is still a challenge. We propose a strategy to control the open pore structure of hard carbon derived from wood for sodium-ion storage by the addition of sodium carbonate under carbonization at 1100 °C. The resulting HC has an increased interlayer spacing, and a more uniform open pore distribution (2–3 nm) with a high slope capacity, thereby enabling efficient sodium-ion transport and storage. The HC anode has a reversible capacity of 326 mAh g−1 at a current density of 30 mA g−1, and maintains a reversible capacity of 270 mAh g−1 at 1 A g−1 and a capacity of 68 mAh g−1 even at 10 A g−1 during rate performance tests. After 300 cycles, it retains 76.7% (207 mAh g−1) of its capacity at 1.0 A g−1. In situ Raman spectroscopy and the galvanostatic intermittent titration testing results reveal an adsorption-intercalation-filling sodium storage mechanism. This work provides a strategy to optimize the open pore structure of biomass derived hard carbon for high performance sodium ion storage.

New Carbon Materials (新型炭材料)2025DOI: 10.1016/S1872-5805(NCM2024-39-01-05)

MOF-derived nanocarbon materials for electrochemical catalysis and their advanced characterization

Because of the demand for clean and sustainable energy sources, nanocarbons, modified carbons and their composite materials derived from metal-organic frameworks (MOFs) are emerging as distinct catalysts for electrocatalytic energy conversion. These materials not only inherit the advantages of MOFs, like customizable dopants and structural diversity, but also effectively prevent the aggregation of nanoparticles of metals and metal oxides during pyrolysis. Consequently, they increase the electrocatalytic efficiency, improve electrical conductivity, and may play a pivotal role in green energy technologies such as fuel cells and metal-air batteries. This review first explores the carbonization mechanism of the MOF-derived carbon-based materials, and then considers 3 key aspects: intrinsic carbon defects, metal and non-metal atom doping, and the synthesis strategies for these materials. We also provide a comprehensive introduction to advanced characterization techniques to better understand the basic electrochemical catalysis processes, including mapping techniques for detecting localized active sites on electrocatalyst surfaces at the micro- to nano-scale and in-situ spectroscopy. Finally, we offer insights into future research concerning their use as electrocatalysts. Our primary objective is to provide a clearer perspective on the current status of MOF-derived carbon-based electrocatalysts and encourage the development of more efficient materials.

Transactions of Nonferrous Metals Society of China (中国有色金属学报)2025DOI: 10.1016/S1003-6326(25)67034-8

Preparation of ammonium paratungstate via adding (NH4)2CO3 or NH4HCO3 to ammonium metatungstate solution

A new technology was proposed to produce ammonium paratungstate (APT) from ammonium metatungstate (AMT) solution by adding (NH4)2CO3 or NH4HCO3 in order to reduce energy consumption and subsequent ammonia recovery burden in crystallization step. Specifically, the effects of ammonium source dosage, temperature, reaction time and stirring speed on crystallization yield, crystalline phase and morphology of APT products were systematically investigated. The results showed that crystallization yields under optional conditions with (NH4)2CO3 and NH4HCO3 as ammonium sources could reach 85.4% and 86.9% with particle size (D50) of 358.8 μm and 441.3 μm, respectively. The crystallization mechanism could be identified as H2W12O40^6- first transforming to H2W12O42^6- and finally to H2W12O42^10-, resulting in the APT precipitation by H2W12O42^10- combining with NH4^+. (NH4)6[H6W12O42]·10H2O played as an intermediate in the crystallization, which could also react with ammonium sources to form APT crystals. Compared to NH3·H2O as an ammonium resource, the corresponding maximum crystallization yields under the same optimal conditions were in order of NH4HCO3>(NH4)2CO3>NH3·H2O, while different ammonium sources affect the morphology of crystallization product.

Journal of Shanghai Jiao Tong University (Science) (上海交通大学学报)2025DOI: 10.16183/j.cnki.jsjtu.2025.150

Optimization of Wind Power Generation Systems with Hybrid Energy Storage and Grid Integration

This paper presents a comprehensive study on the optimization of wind power generation systems integrated with hybrid energy storage and grid connection. The proposed system combines battery and supercapacitor storage to smooth power fluctuations and enhance grid stability. A novel control strategy is developed to manage energy flow and improve overall efficiency. Simulation results demonstrate significant improvements in power quality and system reliability under varying wind conditions. The findings provide valuable insights for the design and operation of renewable energy systems.

Transactions of Nonferrous Metals Society of China (中国有色金属学报)2025DOI: 10.1016/S1003-6326(25)66952-4

Effect of different artificial aging treatments on tensile creep behavior of extruded lean Mg−Al−Ca−Mn alloy

The effects of artificial aging (T6) on the creep resistance with tensile stresses in the range of 50−80 MPa at 175 °C were investigated for an extruded Mg−1.22Al−0.31Ca−0.44Mn (wt.%) alloy. The Guinier-Preston (G.P.) zones primarily precipitate in the sample aged at 200 °C for 1 h (T6-200°C/1h), while the Al2Ca phases mainly precipitate in the sample aged at 275 °C for 8 h (T6-275°C/8h). The T6-200°C/1h sample exhibits excellent creep resistance, with a steady-state creep rate one order of magnitude lower than that of the T6-275°C/8h sample. The abnormally high stress exponent (~8.2) observed in the T6-200°C/1h sample is associated with the power-law breakdown mechanism. TEM analysis illuminates that the creep mechanism for the T6-200°C/1h sample is cross-slip between basal and prismatic dislocations, while the T6-275°C/8h sample exhibits a mixed mechanism of dislocation cross-slip and climb. Compared with the Al2Ca phase, the dense G.P. zones effectively impede dislocation climb and glide during the creep process, demonstrating superior creep resistance of the T6-200°C/1h sample.

Transactions of Nonferrous Metals Society of China (中国有色金属学报)2025DOI: 10.1016/S1003-6326(25)66951-2

3D morphological characteristics of shrinkage porosities and their relationship with microstructures in Mg−12Al magnesium alloy

The dependence of shrinkage porosities on microstructure characteristics of Mg−12Al alloy was investigated. The distribution, morphology, size, and number density of shrinkage porosities were analyzed under different cooling rates. The relationship between shrinkage porosities and microstructure characteristics was discussed in terms of temperature conditions, feeding channel characteristics, and feeding capacity. Further, the feeding behavior of the residual liquid phase in the solid skeleton was quantified by introducing permeability. Results show a strong correlation between the solid microstructure skeleton and shrinkage porosity characteristics. An increase in permeability corresponds to a declining number density of shrinkage porosities. This study aims to provide a more complete understanding how to reduce shrinkage porosities by controlling microstructure characteristics.

Int. Journal of Mining Science and Technology (采矿与安全工程)2025DOI: 10.1016/j.ijmst.2025.01.008

Applicability of existing criteria of rockburst tendency of sandstone in coal mines

To evaluate the accuracy of rockburst tendency classification in coal-bearing sandstone strata, this study conducted uniaxial compression loading and unloading tests on sandstone samples with four distinct grain sizes. The tests involved loading the samples to 60%, 70%, and 80% of their uniaxial compressive strength, followed by unloading and reloading until failure. Key parameters such as the elastic energy index and linear elasticity criteria were derived from these tests. Additionally, rock fragments were collected to calculate their initial ejection kinetic energy, serving as a measure of rockburst tendency. The classification of rockburst tendency was conducted using grading methods based on burst energy index (WET), pre-peak stored elastic energy (PES) and experimental observations. Multi-class classification and regression analyses were applied to machine learning models using experimental data to predict rockburst tendency levels. A comparative analysis of models from two libraries revealed that the Random Forest model achieved the highest accuracy in classification, while the AdaBoost Regressor model excelled in regression predictions. This study highlights that on a laboratory scale, integrating ejection kinetic energy with the unloading ratio, failure load, WET and PES through machine learning offers a highly accurate and reliable approach for determining rockburst tendency levels.

Int. Journal of Mining Science and Technology (采矿与安全工程)2025DOI: 10.1016/j.ijmst.2025.03.009

The failure process of high stress rock with through-water disturbance based on acoustic emission

In the process of deep engineering excavation, the mechanical properties of rock are significantly influenced by the coupled effects of water and high stress, which greatly increase construction difficulty. To more accurately investigate the impact of water disturbance on the failure process of dry rock under high stress and the failure mechanisms of saturated rock in underwater environments, a water environment test chamber and a prefabricated borehole specimen through-water device were designed. A series of experiments were conducted, including uniaxial tests, water-disturbed granite cylinder tests, and through-water disturbance tests on prefabricated hole square specimens. The results showed that the acoustic emission (AE) hits and accumulated energy after the through-water disturbance at the same time were 8.77 and 12.08 times higher than before the disturbance, respectively. And water disturbance increased the proportion of tensile failure and reduced the proportion of shear failure. A key observation was that AE events were mainly generated in the permeation areas near the borehole. The main reason was that under high stress, the weakening effect of water led to the failure of the local mineral structure of the rock, promoting crack extension and triggering overall instability. Notably, failure of the saturated specimens underwater was only observed when the applied load approached the saturation strength of the prefabricated hole square specimens. The study results provide an important theoretical basis for understanding the damage mechanism of water-disturbed rocks in deep engineering, and have significant implications for the design and construction of engineering.

Journal of Semiconductors (半导体学报 - 中国科学院半导体研究所)2025DOI: 10.1088/1674-4926/25030031

Jitter suppression scheme for detection pulses in high-speed sinusoidal gated single-photon detectors

Quantum key distribution (QKD) achieves information-theoretic security based on quantum mechanics principles, where single-photon detectors (SPDs) serve as critical components. This study focuses on the sinusoidal gated SPDs widely used in high-speed QKD systems. We investigate the mechanisms underlying the rising-edge jitter in detection signals, identifying contributions from factors such as the temporal width of injected optical pulses, avalanche generation processes, avalanche signal extraction, and pulse discrimination. To address the issue of excessive jitter-induced bit errors, we propose a retiming scheme that utilizes coincidence signals synchronized with the sinusoidal gating signal. This approach effectively suppresses detection signal jitter and reduces the after-pulse probability of the detector. Experimental validation using a high-precision time-to-digital converter (TDC) demonstrates a significant reduction in the rising-edge jitter distribution after applying the suppression scheme. The proposed method features clear principles and straightforward engineering implementation, avoiding direct interference with the detector's operational processes. The designed high-speed sinusoidal gated InGaAs/InP SPD operates at 1.25 GHz, achieving a remarkable reduction in after-pulse probability from 10.7% (without jitter suppression) to 0.72%, thereby enhancing the overall performance of QKD systems.

Int. Journal of Mining Science and Technology (采矿与安全工程)2025DOI: 10.1016/j.ijmst.2025.06.002

Failure mechanisms and mechanical behavior of wedge-containing tunnel roof rock mass under biaxial loading

The stability of underground tunnel roofs is strongly influenced by wedge blocks formed by complex joint networks. The mechanical behavior and failure mechanisms of different roof wedge blocks in arched holes were investigated under biaxial stress conditions. The crack evolution and failure modes of the specimens were analyzed through acoustic emission (AE), digital image correlation (DIC), and discrete element method (DEM). Results show significant variations in mechanical properties: specimens T1 (extremely unstable triangular) and T2 (extremely unstable quadrilateral) exhibited higher strength than T3 (extremely stable triangular) and T4 (extremely stable quadrilateral), while support more effectively enhanced the strength of T3 and T4. Failure modes were classified as rock-dominated, wedge-dominated, or co-dominated. Cracks typically initiated near the wedge and propagated outward. Unsupported specimens developed tensile cracks at the hole bottom, shear cracks at the sides, and mixed cracks along wedge boundaries, whereas supported specimens mainly exhibited cracks at the roof and sides. Stress analysis indicated that unsupported conditions induced high stress differences, promoting localized shear failure. Wedge geometry significantly affected shear stress redistribution at the roof. These findings highlight the critical role of support and wedge block geometry in controlling stress distribution and failure mechanisms in arched tunnels.

Journal of Semiconductors (半导体学报 - 中国科学院半导体研究所)2025DOI: 10.1088/1674-4926/25080021

Fluorine-free polymers set a new benchmark for ferroelectrics

Ferroelectrics (FEs) are crucial for sensors, actuators, and electrocaloric cooling due to their cross-coupling of electric polarization with mechanical, thermal, and dielectric properties. While polymer FEs offer flexibility and biocompatibility, the dominant poly(vinylidene fluoride) (PVDF) poses environmental concerns as a 'forever chemical'. In a recent Science publication, Zhu et al. introduced fluorine-free disulfonyl polymers (–SO2CH2CHRCH2SO2–, R = –H or –CH3) that achieve high dipole moments (~9 D) and exhibit both normal ferroelectricity (FE-2SO2P) and relaxor ferroelectricity (RFE-2SO2P) by simple side-chain modification. FE-2SO2P shows a sharp Curie transition at ~118 °C and a high remanent polarization of 33.2 mC·m–2, while RFE-2SO2P displays frequency-dependent dielectric behavior and a transition to a ferroelectric state at low temperatures. Molecular dynamics simulations attribute the difference to steric hindrance from the methyl group, which disrupts dipole alignment. Notably, RFE-2SO2P exhibits exceptional electroactuation strain (–4% at 44 MV·m–1) and electrocaloric effect (ΔS = 14.8 J·kg–1·K–1), rivaling PVDF-based tetrapolymers. This work establishes fluorine-free polymers as viable alternatives for flexible electronics and thermal management, addressing environmental and health concerns.

Int. Journal of Mining Science and Technology (采矿与安全工程)2025DOI: 10.1016/j.ijmst.2025.10.005

Rockburst Failure Characteristics and Energy Evolution Law of Cross-Layer Anchored Rock Mass Based on Optical-Thermal-Acoustic Combinative Monitoring

Weak structural planes commonly exist in underground engineering, making anchor structures more prone to failure and threatening rock stability. This study applied Optical-Thermal-Acoustic (OTA) monitoring during uniaxial compression tests on cross-layer anchored rock masses to reveal mechanical properties, failure characteristics, and energy evolution under different anchoring methods and bedding angles. Key findings include: anchoring suppresses transverse deformation and tensile crack propagation, increasing elastic modulus and bearing capacity; anchored rock shows more intense acoustic emission but smaller infrared temperature changes; the structural plane angle controls crack extension direction and strain evolution, with rock prone to instantaneous slip failure at 45°–75°, exhibiting lower strength and significant IR changes. Distinct OTA characteristics during rupture validate the method's reliability for rockburst early warning and intensity assessment. Based on failure characteristics, a shear failure criterion for anchored structural planes is established, enabling prediction of failure modes, analysis of bolt support resistance, and providing reference for support design and construction in complex strata.

China Foundry2025DOI: 10.1007/s41230-025-4101-6

Effect of La content on microstructure, tensile properties, and electrical conductivity of cast Al-Mg-Si-xLa alloys

Lightweight aluminum alloy conductor materials (Al-Mg-Si alloys) require not only high electrical conductivity to reduce electrical loss, but also high strength to withstand extreme weather conditions. To improve electrical conductivity and mechanical properties of Al-Mg-Si alloy simultaneously, the rare earth La was introduced to modify the Al-Mg-Si alloy. The effect of La addition on the microstructure, tensile properties and electrical conductivity of cast Al-Mg-Si alloy was investigated systematically. Results indicate that the appropriate La content is helpful to improve the strength and electrical conductivity of Al-Mg-Si alloys. When the addition of La is 0.2wt.%, the α-Al grains are refined apparently, Mg and Si solute atoms in the Al matrix are reduced by the formation of Mg2Si phase; the distribution of Al11La3 phases is uniform, and the morphology of AlFeSi phase transforms from continuous state to discontinuous state. The Al-Mg-Si-0.2La alloy exhibits the optimal tensile properties and electrical conductivity, with an ultimate tensile strength of 170 MPa, a yield strength of 88 MPa, an elongation of 18.9%, and an electrical conductivity of 44.0% IACS. These values represent improvements of 9.0%, 15.8%, 70.3%, and 17.3%, respectively, compared to the Al-Mg-Si alloy without La addition. However, excessive La deteriorates the properties of Al-Mg-Si-xLa alloys.

Journal of Central South University2025DOI: 10.1007/s11771-025-6068-2

Corrosion behavior of three nickel-based single-crystal superalloys in mixed Na2SO4 and NaCl molten salts at 700 ℃

In this investigation, we examined the high-temperature corrosion behavior of three nickel-based single-crystal superalloys subjected to a mixed molten salt environment of Na2SO4 and NaCl at 700 °C, leading to a preliminary elucidation of their molten salt corrosion mechanisms. By further comparing the corrosion degree of the three nickel-based single-crystal superalloys combined with the Gibbs free energy calculation of the corrosion products, the influence of alloying elements on the corrosion performance of nickel-based single-crystal superalloys was analyzed. It was established that the corrosion mechanism of these nickel-based single-crystal superalloys predominantly involves a cyclic process of oxide layer formation and decomposition, ultimately resulting in the establishment of a protective layer principally composed of NiO, with a constantly regenerating Al2O3 barrier, impeding further alloy degradation. Furthermore, the inclusion of elements such as Cr, Al, Ta, and notably Re has been found to markedly improve the thermal corrosion resistance of the superalloys. These insights not only enhance our comprehension of the corrosion mechanisms pertinent to nickel-based superalloys, but also provide strategic directions for alloy composition refinement aimed at bolstering their corrosion resilience.

Int. Journal of Minerals, Metallurgy and Materials (矿物冶金与材料学报)2025DOI: 10.1007/s12613-025-3100-3

Advances in micro/nanoparticle-enhanced Sn-based composite solders

Sn-based solder is a widely used interconnection material in the field of electronic packaging; however, the performance requirements for these solders are becoming increasingly demanding owing to the rapid development in this area. In recent years, the addition of micro/nanoreinforcement phases to Sn-based solders has provided a solution to improve the intrinsic properties of the solders. This paper reviews the progress in Sn-based micro/nanoreinforced composite solders over the past decade. The types of reinforcement particles, preparation methods of the composite solders, and strengthening effects on the microstructure, wettability, melting point, mechanical properties, and corrosion resistance under different particle-addition levels are discussed and summarized. The mechanisms of performance enhancement are summarized based on material-strengthening effects such as grain refinement and second-phase dispersion strengthening. In addition, we discuss the current shortcomings of such composite solders and possible future improvements, thereby establishing a theoretical foundation for the future development of Sn-based solders.

Nano-Micro Letters2025DOI: 10.1007/s40820-024-01597-w

Wearable Biodevices Based on Two-Dimensional Materials: From Flexible Sensors to Smart Integrated Systems

The proliferation of wearable biodevices has boosted the development of soft, innovative, and multifunctional materials for human health monitoring. The integration of wearable sensors with intelligent systems is an overwhelming tendency, providing powerful tools for remote health monitoring and personal health management. Among many candidates, two-dimensional (2D) materials stand out due to several exotic mechanical, electrical, optical, and chemical properties that can be efficiently integrated into atomic-thin films. While previous reviews on 2D materials for biodevices primarily focus on conventional configurations and materials like graphene, the rapid development of new 2D materials with exotic properties has opened up novel applications, particularly in smart interaction and integrated functionalities. This review aims to consolidate recent progress, highlight the unique advantages of 2D materials, and guide future research by discussing existing challenges and opportunities in applying 2D materials for smart wearable biodevices. We begin with an in-depth analysis of the advantages, sensing mechanisms, and potential applications of 2D materials in wearable biodevice fabrication. Following this, we systematically discuss state-of-the-art biodevices based on 2D materials for monitoring various physiological signals within the human body. Special attention is given to showcasing the integration of multi-functionality in 2D smart devices, mainly including self-power supply, integrated diagnosis/treatment, and human–machine interaction. Finally, the review concludes with a concise summary of existing challenges and prospective solutions concerning the utilization of 2D materials for advanced biodevices.

Chinese Journal of Mechanical Engineering2025DOI: 10.1186/s10033-025-01280-0

Biomimetic Desert Beetle Microgrinding Tool Flow-field Model and Processability Evaluation

Microgrinding is widely used in clinical bone surgery, but saline spray cooling faces technical challenges such as low wettability at the microgrinding tool–bone interface, easy clogging of the microgrinding tools, and high grinding temperatures. These issues can lead to bone necrosis, irreversible thermal damage to nerves, or even surgical failure. Inspired by the water-trapping and directional transportation abilities of desert beetles, this study proposes a biomimetic desert beetle microgrinding tool. The flow-field distribution directly influences the convective heat transfer of the cooling medium in the grinding zone, which in turn affects the grinding temperature. To address this, a mathematical model of the two-phase flow field at the biomimetic microgrinding tool–bone interface is developed. The results indicate an average error of 14.74% between the calculated and experimentally obtained airflow field velocities. Next, a biomimetic desert beetle microgrinding tool is prepared. Experiments with physiological saline spray cooling were conducted on fresh bovine femur bone, which has mechanical properties similar to human bone. Results show that, compared with conventional microgrinding tools, the biomimetic tools reduced bone surface temperature by 21.7%, 13.2%, 5.8%, 20.3%, and 25.8% at particle sizes of 150#, 200#, 240#, 270#, and 300#, respectively. The surface morphology of the biomimetic microgrinding tools after grinding is observed and analyzed, revealing a maximum clogging area reduction of 23.0%, which is 6.1%, 6.0%, 10.0%, 15.6%, and 9.5% less than that observed with conventional tools. Finally, this study unveils the dynamic mechanism of cooling medium transfer in the flow field at the biomimetic microgrinding tool–bone interface. This research provides theoretical guidance and technical support for clinical bone resection surgery.

Chinese Journal of Mechanical Engineering2025DOI: 10.1186/s10033-025-01286-8

A New Dynamic Model of Hydro-Viscous Clutch in a Stepless Speed Regulation Fan Drive System Considering Oil Groove Structures

This study aims to develop an accurate calculation model of transmission torque and load-bearing capacity for hydro-viscous clutches (HVC) used in high-power vehicles, which is important to investigate the step-less speed regulation characteristics in a fan drive system. However, most of the existing models ignore the distribution differences of groove area along the radial direction, which may lead to significant deviations in calculating the mechanical property of friction pairs related to operating conditions and the engagement process. To fill this gap, a new calculation model for bearing capacity and frictional torque of friction pairs with different oil grooves is proposed, in which the traditional fixed contact area ratio coefficient for oil groove measurement is replaced by a more precise discrete micro-ring area ratio (DMAR) integration method. Then, a 32-degree-of-freedoms dynamic model of HVC at a fan drive system is established for the prediction of dynamic responses during speed regulation. Results show that friction pairs with different oil grooves have a direct influence on frictional torque and bearing capacity through the change of DMAR along the radial direction. The friction pairs with different groove structures have oscillation phenomena at the engagement steady-state boundary. Furthermore, a step-less speed regulation experimental setup is established to verify the correctness of the proposed model. It is demonstrated that the axial engagement force and the speed regulation curve predicted by the proposed method are in good agreement with the experimental data. The results could effectively predict the engagement dynamic characteristics. The numerical relationship among the structure parameters, the mechanical properties of friction pairs, and the speed regulation characteristics of the system are established through the proposed model, which lays a theoretical foundation for the structure design of friction plates and optimization of step-less speed regulation performance.

Chinese Journal of Mechanical Engineering2025DOI: 10.1186/s10033-025-01270-2

Multi-mode Evasion Assistance Control Method for Intelligent Distributed-drive Electric Vehicle Considering Human Driver's Reaction

Vehicle collision avoidance (CA) has been widely studied to improve road traffic safety. However, most evasion assistance control methods face challenges in effectively coordinating collision avoidance safety and human-machine interaction conflict. This paper introduces a novel multi-mode evasion assistance control (MEAC) method for intelligent distributed-drive electric vehicles. A reference safety area is established considering the vehicle safety and stability requirements, which serves as a guiding principle for evading obstacles. The proposed method includes two control modes: Shared-EAC (S-EAC) and Emergency-EAC (E-EAC). In S-EAC, an integrated human-machine authority allocation mechanism is designed to mitigate conflicts between human drivers and the control system during collision avoidance. The E-EAC mode is tailored for situations where the driver has no collision avoidance behavior and utilizes model predictive control to generate additional yaw moments for collision avoidance. Simulation and experimental results indicate that the proposed method reduces human-machine conflict and assists the driver in safe collision avoidance in the S-EAC mode under various driver conditions. In addition, it enhances the vehicle responsiveness and reduces the extent of emergency steering in the E-EAC mode while improving the safety and stability during the collision avoidance process.

Journal of Central South University2025DOI: 10.1007/s11771-025-6146-5

Radiated noise correction model for the dominant scale correlation of aerodynamic sound generation in pantograph cavity coupling system

The pantograph cavity coupling system (PCCS) of high-speed trains, as a representative region for aerodynamic noise generation, merits further investigation into its scale effects. In this paper, the large-eddy simulation (LES) and the Ffowcs Williams-Hawkings (FW-H) integral equation are used to calculate and analyze the sound energy intensity distribution pattern and spectral characteristics of the PCCS at different scales (1/1, 1/2, 1/4, 1/8, 1/16, 1/25, 1/50). The research shows that as the scaled model decreases, the relative area of the pantograph submerged by the vehicle boundary layer increases, and its inflow velocity decreases, thereby reducing the overall radiated sound pressure level in this area. For the segments 1/1−1/2 and 1/4−1/16, the dominant scale of sound generation is typical pure tone noise, with distinct similar features in the spectral discrete scales. For the segments 1/25−1/50, the turbulent fluctuation characteristics of the vehicle boundary layer mask the peak features, and the spectrum is dominated by broadband characteristics. Combining the PCCS sound source energy scale correction model and the dimensionless spectrum correction function, a scale correction model for the sound power spectrum of the sound source is obtained, so that the noise results of the reduced-scale model can be corresponded to the full-scale model. This work advances the comprehension of high-speed train aerodynamic noise generation mechanisms and offers critical references for developing precision noise control technologies.

Int. Journal of Minerals, Metallurgy and Materials (矿物冶金与材料学报)2025DOI: 10.1007/s12613-025-3225-4

Effects of direct aging on mechanical properties and microstructure of TiB2/AlSi7Mg alloy fabricated by laser powder bed fusion

The effects of direct aging (DA) on the microstructure and mechanical properties of TiB2/AlSi7Mg alloys fabricated via laser powder bed fusion (LPBF) were systematically investigated. DA significantly improves strength while maintaining satisfactory ductility. Optimal performance is obtained through under-aging (UA) at 150°C for 4 h, resulting in a yield strength of 361 MPa, tensile strength of 503 MPa, and elongation of 9.1% in the horizontal direction. DA does not substantially alter the grain size or cellular structure but promotes the formation of nanoprecipitates within the α-Al matrix. Specifically, UA induces dot-like and needle-like Si precipitates, whereas over-aging (OA) additionally generates short rod-like β'-Mg1.8Si phases. The strengthening mechanism is attributed to the Hall–Petch effect associated with grain and cell boundaries, and the Orowan mechanism induced by nanoprecipitates. Work-hardening behavior is governed by interactions between dislocations and nanoprecipitates. The OA sample exhibits rapid saturation of work hardening due to a high initial hardening rate and dynamic recovery of dislocations, resulting in limited uniform elongation. In contrast, the UA sample demonstrates a more balanced work hardening response. These findings provide theoretical and experimental validation of DA as an effective post-processing approach aimed at enhancing the performance of LPBF Al–Si–Mg alloys in engineering applications.

Int. Journal of Minerals, Metallurgy and Materials (矿物冶金与材料学报)2025DOI: 10.1007/s12613-025-3269-5

Application of Sr2FeMoO6−δ-based medium entropy oxide as an anode internal reforming catalyst in solid oxide fuel cells fueled by low-concentration coal mine methane

Low-concentration coal mine methane (LC-CMM), which is predominantly composed of methane, serves as a clean and low-carbon energy resource with significant potential for utilization. Utilizing LC-CMM as fuel for solid oxide fuel cells (SOFCs) represents an efficient and promising strategy for its effective utilization. However, direct application in Ni-based anodes induces carbon deposition, which severely degrades cell performance. Herein, a medium-entropy oxide Sr2FeNi0.1Cr0.3Mn0.3Mo0.3O6−δ (SFNCMM) was developed as an anode internal reforming catalyst. Following reduction treatment, FeNi3 nano-alloy particles precipitate on the surface of the material, thereby significantly enhancing its catalytic activity for LC-CMM reforming process. The catalyst achieved a methane conversion rate of 53.3%, demonstrating excellent catalytic performance. Electrochemical evaluations revealed that SFNCMM-Gd0.1Ce0.9O2−δ (GDC) with a weight ratio of 7:3 exhibited superior electrochemical performance when employed as the anodic catalytic layer. With H2 and LC-CMM as fuels, the single cell achieved maximum power densities of 1467.32 and 1116.97 mW·cm−2 at 800°C, respectively, with corresponding polarization impedances of 0.17 and 1.35 Ω·cm2. Furthermore, the single cell maintained stable operation for over 100 h under LC-CMM fueling without significant carbon deposition, confirming its robust resistance to carbon formation. These results underscore the potential of medium-entropy oxides as highly effective catalytic layers for mitigating carbon deposition in SOFCs.

Int. Journal of Minerals, Metallurgy and Materials (矿物冶金与材料学报)2025DOI: 10.1007/s12613-024-3076-4

Synthesis of various morphologies of CoFe bimetallic hydroxides for enhanced oxygen evolution reaction performance

CoFe bimetallic hydroxides (CoFe BMHs) find wide applications as excellent catalysts in the field of water splitting. However, no study has systematically investigated the influence of the morphologies of CoFe BMHs on catalyst performance. In this study, CoFe BMH nanoflowers (CoFe BMH NFs), CoFe BMH nanosheets (CoFe BMH NSHs), CoFe BMH nanorods (CoFe BMH NRs), and CoFe BMH nanospheres (CoFe BMH NSPs) were prepared on nickel foam via a hydrothermal method. CoFe BMH NSHs exhibited the most beneficial catalytic activity. At a current density of 100 mA·cm−2, its overpotential for oxygen evolution reaction (OER) was 282 mV, and the overall water splitting voltage was 2.05 V. The double-layer charging capacitance (Cdl) value of CoFe BMH NSHs was the largest in CoFe BMHs, which proves that CoFe BMH NSHs have the largest active area. Furthermore, the active site in the OER process was metal oxyhydroxide (MOOH) through in situ Raman characterization, and the generation of the active substance was an irreversible process. This work provides important insights into the design of catalyst morphologies and offers valuable guidelines for the enhancement of the performance of other catalysts.

Int. Journal of Minerals, Metallurgy and Materials (矿物冶金与材料学报)2025DOI: 10.1007/s12613-025-3144-4

Utilization of red mud and coal gangue for underground backfill material: Hydration and environmental characteristics

The large-scale accumulation of industrial solid waste, including red mud and coal gangue, coupled with goafs left by underground mining activities, poses significant challenges to sustainable human development. In this study, red mud, coal gangue, and other solid wastes were used to prepare underground backfilling materials. The utilization rate of the total solid waste reached 95%, with red mud accounting for approximately 40wt% of the total. The unconfined compressive strength, setting time, and slump tests were conducted to evaluate the mechanical properties of the material. At the optimal ratio, the 7- and 28-d strengths reach 4.4 and 6.9 MPa, respectively. The initial and final setting times were 200 and 250 min, respectively, whereas the initial and 1-h slump exceed 250 and 210 mm, respectively. X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), and scanning electron microscopy (SEM) were employed to explore the microstructure, phase composition, and chemical bonding within the material. Needle-like, clustered, and granular hydration products were observed, and the primary crystalline structures were identified as ettringite, gmelinite, C–A–S–H, and C–S–H. In addition, a thorough environmental risk assessment was conducted, complemented by detailed economic cost and carbon emission calculations. During the creation of backfill material, hazardous elements from solid waste are immobilized through adsorption, precipitation, and incorporation into the crystal lattice. The immobilization efficiencies for Ni, Al, Cr6+, and As were 97.03%, 94.32%, 86.43%, and 84.22%, respectively, at a pH of 8.49. Moreover, the use of solid waste as a raw material results in considerable cost savings and marked reduction in carbon emissions. This study innovatively promotes the green cycle of alumina production in the bauxite mining industry.

Int. Journal of Minerals, Metallurgy and Materials (矿物冶金与材料学报)2025DOI: 10.1007/s12613-024-3059-5

Highly efficient desorption and reuse of fatty acid collectors adsorbed on mineral surface: A case study of scheelite

Flotation is the most common method to recover valuable minerals by selective adsorption of collectors on target mineral surfaces. However, in subsequent hydrometallurgy of mineral flotation concentrates, the adsorbed collectors must be desorbed since it can adversely affect the efficiency of metallurgical process and produce wastewater. ZL, as a fatty acid mixture, is a typical industrially used collector for scheelite flotation in China. Sodium oleate (NaOL) has similar fatty acid group as ZL. In this study, the desorption behavior of NaOL/ZL from scheelite surface by a physical method of stirring at a low temperature was investigated. NaOL desorption tests of single mineral showed that a desorption rate of 77.75% for NaOL from scheelite surface into pulp was achieved in a stirring speed of 2500 r/min at 5°C in a neutral environment. Under the above desorption condition, in the pulp containing desorbed collector by adding extra 30% normal NaOL dosage, the scheelite recovery reached about 95% in the single mineral flotation test. Desorption and reuse of ZL collector for the flotation of real scheelite ore showed only a 75% normal dosage of ZL could produce a qualified rough concentrate. The atomic force microscope (AFM) tests showed that after desorption treatment of low temperature and strong stirring, the dense strip-like structure of NaOL on the scheelite surface was destroyed to be speck-like. Molecular dynamics simulations (MDS) demonstrated that the adsorption energy between NaOL and scheelite surface was more negative at 25°C (−13.39 kcal/mol) than at 5°C (−11.50 kcal/mol) in a neutral pH, indicating that a low temperature was beneficial for the desorption of collector from mineral surface. Due to its simplicity and economy, the method we proposed of desorption of collector from mineral surface and its reuse for flotation has a great potential for industrial application.

Nano-Micro Letters2024DOI: 10.1007/s40820-024-01602-2

Ammonium Sensing Patch with Ultrawide Linear Range and Eliminated Interference for Universal Body Fluids Analysis

Ammonium level in body fluids serves as one of the critical biomarkers for healthcare, especially those relative to liver diseases. The continuous and real-time monitoring in both invasive and non-invasive manners is highly desired, while the ammonium concentrations vary largely in different body fluids. Besides, the sensing reliability based on ion-selective biosensors can be significantly interfered by potassium ions. To tackle these challenges, a flexible and biocompatible sensing patch for wireless ammonium level sensing was reported with an ultrawide linear range for universal body fluids including blood, tears, saliva, sweat and urine. The as-prepared biocompatible sensors deliver a reliable sensitivity of 58.7 mV decade−1 in the range of 1–100 mM and a desirable selectivity coefficient of 0.11 in the interference of potassium ions, attributed to the cross-calibration within the sensors array. The sensor’s biocompatibility was validated by the cell growth on the sensor surface (>80%), hemolysis rates (<5%), negligible cellular inflammatory responses and weight changes of the mice with implanted sensors. Such biocompatible sensors with ultrawide linear range and desirable selectivity open up new possibility of highly compatible biomarker analysis via different body fluids in versatile approaches.

Nano-Micro Letters2025DOI: 10.1007/s40820-024-01517-y

Prussian Blue Analogue-Templated Nanocomposites for Alkali-Ion Batteries: Progress and Perspective

Lithium-ion batteries (LIBs) have dominated the portable electronic and electrochemical energy markets since their commercialisation, whose high cost and lithium scarcity have prompted the development of other alkali-ion batteries (AIBs) including sodium-ion batteries (SIBs) and potassium-ion batteries (PIBs). Owing to larger ion sizes of Na+ and K+ compared with Li+, nanocomposites with excellent crystallinity orientation and well-developed porosity show unprecedented potential for advanced lithium/sodium/potassium storage. With enticing open rigid framework structures, Prussian blue analogues (PBAs) remain promising self-sacrificial templates for the preparation of various nanocomposites, whose appeal originates from the well-retained porous structures and exceptional electrochemical activities after thermal decomposition. This review focuses on the recent progress of PBA-derived nanocomposites from their fabrication, lithium/sodium/potassium storage mechanism, and applications in AIBs (LIBs, SIBs, and PIBs). To distinguish various PBA derivatives, the working mechanism and applications of PBA-templated metal oxides, metal chalcogenides, metal phosphides, and other nanocomposites are systematically evaluated, facilitating the establishment of a structure–activity correlation for these materials. Based on the fruitful achievements of PBA-derived nanocomposites, perspectives for their future development are envisioned, aiming to narrow down the gap between laboratory study and industrial reality.

Nano-Micro Letters2024DOI: 10.1007/s40820-024-01516-z

Low-Temperature Oxidation Induced Phase Evolution with Gradient Magnetic Heterointerfaces for Superior Electromagnetic Wave Absorption

Gradient magnetic heterointerfaces have injected infinite vitality in optimizing impedance matching, adjusting dielectric/magnetic resonance and promoting electromagnetic (EM) wave absorption, but still exist a significant challenging in regulating local phase evolution. Herein, accordion-shaped Co/Co3O4@N-doped carbon nanosheets (Co/Co3O4@NC) with gradient magnetic heterointerfaces have been fabricated via the cooperative high-temperature carbonization and low-temperature oxidation process. The results indicate that the surface epitaxial growth of crystal Co3O4 domains on local Co nanoparticles realizes the adjustment of magnetic-heteroatomic components, which are beneficial for optimizing impedance matching and interfacial polarization. Moreover, gradient magnetic heterointerfaces simultaneously realize magnetic coupling, and long-range magnetic diffraction. Specifically, the synthesized Co/Co3O4@NC absorbents display the strong electromagnetic wave attenuation capability of −53.5 dB at a thickness of 3.0 mm with an effective absorption bandwidth of 5.36 GHz, both are superior to those of single magnetic domains embedded in carbon matrix. This design concept provides us an inspiration in optimizing interfacial polarization, regulating magnetic coupling and promoting electromagnetic wave absorption.