Transactions of Nonferrous Metals Society of China (中国有色金属学报)•2026•DOI: 10.1016/S1003-6326(26)67060-4
The microstructural evolution and property response of Cu−0.3Be−2.0Ni and Cu−0.3Be−2.0Ni−0.2Al alloys subjected to solution treatment at 950 °C for 30 min, 70% cold rolling, and aging at 450 °C for 60 min were systematically investigated. The baseline Cu−0.3Be−2.0Ni alloy precipitates predominantly the Ni−Be phase with a transformation sequence of γ″→γ′→γ, whereas the Al-modified alloy exhibits co-precipitation of Ni3Al and nanoscale Be−Ni phases. This synergistic precipitation yields a hardness of HV 268, yield strength of 824 MPa, tensile strength of 881 MPa, elongation of 9%, and electrical conductivity of 47% IACS in the Cu−0.3Be−2.0Ni−0.2Al alloy, compared to HV 238, 785 MPa, 840 MPa, 10%, and 50% IACS for the Al-free counterpart. Relative to conventional aging, thermo-mechanical treatment increases hardness by 13% and conductivity by 6.8% in the Al-containing alloy, while the Al-free alloy shows a 6% hardness increase with marginal conductivity improvement. The co-precipitation mechanism effectively compensates for the strength loss typically associated with reduced Be content, demonstrating a viable pathway for low-cost, high-performance Cu−Be alloys.
Nano Research•2026•DOI: 10.26599/NR.2026.94908775
Flexible sensors have advanced rapidly to achieve skin-like multisensory capabilities, yet their performance is compromised by strain disturbances and multi-parameter interactions, impeding widespread deployment. Here, we report a flexible fibrous device with a patterned cellular structure enabling anti-strain interference, dual-parameter measurement, and static/dynamic detection. The patterned cellular fibrous structure achieves a heterogenous strain distribution that preserves sensing performance under 10% strain. The sensor integrates a piezoresistive component for low-frequency mechanical stimuli and a thermoelectric response to calibrate temperature-induced resistance changes. A hybrid piezoresistive/piezoelectric sensing platform was experimentally implemented for static pressure persistence and high-frequency acoustic excitation from 0 to 300 Hz. The hybrid tactile sensing achieved the highest material identification accuracy of 98.6%. This work provides valuable proposals to resolve practical constraints in flexible sensor applications, compelling advantages for broader wearable integration.
Journal of Central South University•2026•DOI: 10.1007/s11771-026-6266-6
To reduce the subjectivity of conventional instability criteria in deep rock engineering, this study develops an energy-driven criterion grounded in cusp catastrophe theory and embeds it within an improved nonlinear Hoek-Brown (H-B) strength-reduction framework. We derive an explicit algebraic transformation that maps a quartic energy potential to the standard cusp form and introduce the mutation eigenvalue Δ as a physically interpretable measure of proximity to the vanishing of the energy barrier. Building on this, failure staging is diagnosed in practice by the concurrence of a slope mutation in displacement-reduction-factor curves, a threshold jump of total plastic strain-energy increment typically exceeding threefold between adjacent reduction steps, and video-confirmed crack through-connection. Integrating Δ with the nonlinear reduction scheme yields reproducible integral safety factors. Two representative cavern layouts (Model A/B) are validated by scaled physical model tests and companion simulations: global failure occurs at the overload safety factor K=2.33 for Model A and K=2.73 for Model B, with relative deviations from tests (2.4P0 and 2.9P0) of 1.3% and −5.9%, respectively, coinciding with the energy-jump threshold and the multi-evidence diagnosis. Compared with the equivalent Mohr-Coulomb parameter approach, the improved nonlinear scheme produces smaller (more conservative) safety factors by 5.7% and 2.5%, while better matching the observed destabilization process. The framework clarifies the role of Δ as an energy-based instability indicator and offers a practical, verifiable criterion for cavern stability assessment.
Nano-Micro Letters•2026•DOI: 10.1007/s40820-025-02015-5
UV-absorbing additives have recently been demonstrated to be effective interfacial modifiers that simultaneously enhance the UV stability and crystallization of halide perovskite. However, the underlying mechanisms concerning UV absorption, defect passivation, and efficacy optimization of these additives remain unresolved. Herein, two UV tautomeric absorbers (UV320 and UV327) are selected as defect-passivators for perovskites. The keto–enol tautomeric evolution processes and corresponding defect passivation performance/mechanism of both the original molecules and their tautomers are thoroughly compared and elucidated through experimental characterizations and density functional theory calculations. The additional carbonyl (–C=O) groups generated through the keto–enol tautomeric process triggered by the Cl atom in UV327 ultimately provide superior chemical coordination and enhanced defect-passivation capability compared to the original counterparts. Moreover, the versatility of K-UV327 is further demonstrated by its optimization of SnO2 film quality, interfacial energy band alignment, charge extraction efficiency, and defect state suppression. The photodetector optimized by UV327’s tautomer achieves an ultralow dark current density of 3.22 × 10−10 A cm−2, an enhanced linear dynamic range of 94.14 dB, and a fast response time of 23.35/26.19 μs. Notably, unencapsulated devices maintain a stable response at 3900 Hz following 300 h exposure to 40% ± 5% relative humidity and 30 h UV irradiation.
Nano-Micro Letters•2026•DOI: 10.1007/s40820-025-02002-w
The rapid proliferation of microelectronics, coupled with the advent of the internet of things (IoT) era, has created an urgent demand for miniaturized, integrable, and reliable on-chip energy storage systems. All-solid-state thin-film microbatteries (TFMBs), distinguished by their intrinsic safety, compact design, and compatibility with microfabrication techniques, have emerged as promising candidates to power next-generation IoT devices. Nevertheless, in contrast to the well-established development of conventional lithium-ion batteries, the advancement of TFMBs remains at an early stage, facing persistent challenges in materials innovation, interface optimization, and scalable manufacturing. This review critically examines the pivotal role of vapor deposition technologies, including magnetron sputtering, pulsed laser deposition, thermal/electron-beam evaporation, chemical vapor deposition, and atomic layer deposition, in the fabrication and performance modulation of TFMBs. We systematically summarize recent progress in thin-film electrodes and solid-state electrolytes, with particular emphasis on how deposition parameters dictate crystallinity, lattice orientation, and ionic transport in functional layers. Furthermore, we highlight strategies for solid–solid interface engineering, three-dimensional structural design, and multifunctional integration to enhance capacity retention, cycling stability, and interfacial compatibility. Looking ahead, TFMBs are expected to evolve toward multifunctional platforms, exhibiting mechanical flexibility, optical transparency, and hybrid energy-harvesting compatibility, thereby meeting the heterogeneous energy requirements of future IoT ecosystems. Overall, this review provides a comprehensive perspective on vapor-phase-enabled TFMB technologies, delivering both theoretical insights and technological guidelines for the scalable realization of high-performance microscale power sources.
Nano-Micro Letters•2025•DOI: 10.1007/s40820-025-01795-0
Historically seen as a limitation, grain boundaries (GBs) within polycrystalline metal halide perovskite (MHP) films are thought to impede charge transport, adversely impacting the efficiency of perovskite solar cells (PSCs). In this study, we employ home-built confocal photoluminescence microscopy, combined with photocurrent detection modules, to directly visualize the carrier dynamics in the MHP film of PSCs under real operating conditions. Our findings suggest that GBs in high-efficiency PSCs function as carrier transport channels, where a notable enhancement in photocurrent is observed. Femtosecond transient absorption and Kelvin probe force microscopy measurements further validate the existence of a built-in electric field in the vicinity of GBs, offering additional driving force for charge separation and establishing channels for swift carrier transport along the GBs, thereby expediting subsequent charge collection processes. This study elucidates the pivotal role of GBs in operational PSCs and provides valuable insights for the fabrication of high-efficiency PSCs.
Nano-Micro Letters•2025•DOI: 10.1007/s40820-025-01715-2
Sequential processing (SqP) of the active layer offers independent optimization of the donor and acceptor with more targeted solvent design, which is considered the most promising strategy for achieving efficient organic solar cells (OSCs). In the SqP method, the favorable interpenetrating network seriously depends on the fine control of the bottom layer swelling. However, the choice of solvent(s) for both the donor and acceptor have been mostly based on a trial-and-error manner. A single solvent often cannot achieve sufficient yet not excessive swelling, which has long been a difficulty in the high efficient SqP OSCs. Herein, two new isomeric molecules are introduced to fine-tune the nucleation and crystallization dynamics that allows judicious control over the swelling of the bottom layer. The strong non-covalent interaction between the isomeric molecule and active materials provides an excellent driving force for optimize the swelling-process. Among them, the molecule with high dipole moment promotes earlier nucleation of the PM6 and provides extended time for crystallization during SqP, improving bulk morphology and vertical phase segregation. As a result, champion efficiencies of 17.38% and 20.00% (certified 19.70%) are achieved based on PM6/PYF-T-o (all-polymer) and PM6/BTP-eC9 devices casted by toluene solvent.
Nano-Micro Letters•2025•DOI: 10.1007/s40820-025-01666-8
Sonodynamic therapy (SDT) as an emerging modality for malignant tumors mainly involves in sonosensitizers and low-intensity ultrasound (US), which can safely penetrate the tissue without significant attenuation. SDT not only has the advantages including high precision, non-invasiveness, and minimal side effects, but also overcomes the limitation of low penetration of light to deep tumors. The cytotoxic reactive oxygen species can be produced by the utilization of sonosensitizers combined with US and kill tumor cells. However, the underlying mechanism of SDT has not been elucidated, and its unsatisfactory efficiency retards its further clinical application. Herein, we shed light on the main mechanisms of SDT and the types of sonosensitizers, including organic sonosensitizers and inorganic sonosensitizers. Due to the development of nanotechnology, many novel nanoplatforms are utilized in this arisen field to solve the barriers of sonosensitizers and enable continuous innovation. This review also highlights the potential advantages of nanosonosensitizers and focus on the enhanced efficiency of SDT based on nanosonosensitizers with monotherapy or synergistic therapy for deep tumors that are difficult to reach by traditional treatment, especially orthotopic cancers.
New Carbon Materials (新型炭材料)•2025•DOI: 10.1016/S1872-5805(NCM2024-39-06-09)
During the operation of electronic devices, a considerable amount of heat and electromagnetic radiation is emitted. Therefore, the investigation of materials with electromagnetic shielding and thermal management abilities has significant importance. Hybrid materials of three-dimensional graphene networks containing both carbon nanotubes (CNTs) and SiC whiskers (3D graphene-CNT-SiC) were synthesized. Using an aqueous-phase reduction method for the self-assembly of the graphene oxide, a three-dimensional porous graphene structure was fabricated. SiC whiskers, inserted between the graphene layers, formed a framework for longitudinal thermal conduction, while CNTs attached to the SiC surface, created a dendritic structure that increased the bonding between the SiC whiskers and graphene, improving dielectric loss and thermal conductivity. It was found that the thermal conductivity of the hybrid material reached 123 W·m–1·K–1, with a shielding effectiveness of 29.3 dB when the SiC addition was 2%. This result indicates that 3D graphene-CNT-SiC has excellent thermal conductivity and electromagnetic shielding performance.
New Carbon Materials (新型炭材料)•2025•DOI: 10.1016/S1872-5805(NCM2024-39-05-12)
Silicon anodes are promising for use in lithium-ion batteries. However, their practical application is severely limited by their large volume expansion leading to irreversible material fracture and electrical disconnects. This study proposes a new top-down strategy for preparing microsize porous silicon and introduces polyacrylonitrile (PAN) for a nitrogen-doped carbon coating, which is designed to maintain the internal pore volume and lower the expansion of the anode during lithiation and delithiation. We then explore the effect of temperature on the evolution of the structure of PAN and the electrochemical behavior of the composite electrode. After treatment at 400 °C, the PAN coating retains a high nitrogen content of 11.35 at%, confirming the presence of C―N and C―O bonds that improve the ionic-electronic transport properties. This treatment not only results in a more intact carbon layer structure, but also introduces carbon defects, and produces a material that has remarkable stable cycling even at high rates. When cycled at 4 A g−1, the anode had a specific capacity of 857.6 mAh g−1 even after 200 cycles, demonstrating great potential for high-capacity energy storage applications.
Journal of Semiconductors (半导体学报 - 中国科学院半导体研究所)•2025•DOI: 10.1088/1674-4926/25080038
Neuromorphic devices have garnered significant attention as potential building blocks for energy-efficient hardware systems owing to their capacity to emulate the computational efficiency of the brain. In this regard, reservoir computing (RC) framework, which leverages straightforward training methods and efficient temporal signal processing, has emerged as a promising scheme. While various physical reservoir devices, including ferroelectric, optoelectronic, and memristor-based systems, have been demonstrated, many still face challenges related to compatibility with mainstream complementary metal oxide semiconductor (CMOS) integration processes. This study introduced a silicon-based Schottky barrier metal-oxide-semiconductor field effect transistor (SB-MOSFET), which was fabricated under low thermal budget and compatible with back-end-of-line (BEOL). The device demonstrated short-term memory characteristics, facilitated by the modulation of Schottky barriers and charge trapping. Utilizing these characteristics, a RC system for temporal data processing was constructed, and its performance was validated in a 5 × 4 digital classification task, achieving an accuracy exceeding 98% after 50 training epochs. Furthermore, the system successfully processed temporal signal in waveform classification and prediction tasks using time-division multiplexing. Overall, the SB-MOSFET's high compatibility with CMOS technology provides substantial advantages for large-scale integration, enabling the development of energy-efficient reservoir computing hardware.
Journal of Central South University•2025•DOI: 10.1007/s11771-025-6141-x
The suspension gap is a critical operational parameter for high-speed maglev trains and significantly impacts their aerodynamic performance. Based on an engineering prototype of the high-temperature superconducting (HTS) pinning maglev train, this study established a detailed three-dimensional model, and then the aerodynamic characteristics of the HTS maglev train at 600 km/h with suspension gaps of 10 mm, 20 mm, and 30 mm were simulated based on the improved delayed detached eddy simulation (IDDES) turbulence model and SST k- ω two-equation. The results demonstrated that the underbody design of the HTS maglev train leads to unique aerodynamic drag and aerothermal distribution phenomena. The head car experiences the smallest drag, while the tail car experiences the largest. The aerothermal temperature on the train's bottom surface progressively increases from the head to the tail. Additionally, the U-shaped track significantly constrains the flow around the train body, forming strong vortex structures. As the suspension gap increases from 10 mm to 30 mm, the airflow velocity in the train-track gap rises, reducing the underbody pressure and decreasing the lift of the head car by 12.43%. The drag of the head car increases by 10.98%, primarily due to changes in pressure drag. Additionally, the temperature at the underbody of the tail car rises further due to significant airflow deceleration. These findings provide valuable insights for advancing the engineering design and application of the high-speed HTS maglev technology.
Chinese Journal of Mechanical Engineering•2025•DOI: 10.1186/s10033-025-01323-6
For control systems with unknown model parameters, this paper proposes a data-driven iterative learning method for fault estimation. First, input and output data from the system under fault-free conditions are collected. By applying orthogonal triangular decomposition and singular value decomposition, a data-driven realization of the system's kernel representation is derived, based on this representation, a residual generator is constructed. Then, the actuator fault signal is estimated online by analyzing the system's dynamic residual, and an iterative learning algorithm is introduced to continuously optimize the residual-based performance function, thereby enhancing estimation accuracy. The proposed method achieves actuator fault estimation without requiring knowledge of model parameters, eliminating the time-consuming system modeling process, and allowing operators to focus on system optimization and decision-making. Compared with existing fault estimation methods, the proposed method demonstrates superior transient performance, steady-state performance, and real-time capability, reduces the need for manual intervention and lowers operational complexity. Finally, experimental results on a mobile robot verify the effectiveness and advantages of the method.
Chinese Journal of Mechanical Engineering•2025•DOI: 10.1186/s10033-025-01215-9
Owing to process conditions such as uneven clearance of base metal assembly and welding deformation, it is difficult to obtain well-formed structural welds with robot constant specification parameters welding. Determining how to extract a structured, anti-interference, concise, and dynamic knowledge model from measurable data, and then adjust the welding parameters with corresponding control methods in real time is a central problem to be solved in welding formation control. Hence, this paper proposes a welding penetration control method based on a Neighborhood Rough Set-Adaptive Neuro-Fuzzy Inference System (NRS-ANFIS) to achieve effective penetration control for the GMAW welding process. In orthogonal experiments, the NRS algorithm, which is based on visual sensing to obtain the properties of the weld pool and gap changes, is used to reduce the established frontal weld pool feature information decision table, and the minimum feature set of the weld pool tail width WT and the tail area coefficient CTS is obtained. The minimum feature set of the effective frontal weld pool, real-time line laser distance change, and real-time current information are used as the input for the ANFIS control system. The experimental results for the two groups of time-varying gaps demonstrate that under the condition of no preheating of the base metal, the complete welding penetration rate of the adjusted welding process parameters output by the trained ANFIS model reaches 87%, and the backside melting width is uniform and consistent, which meets the welding specification requirements.
Journal of Central South University•2025•DOI: 10.1007/s11771-025-6100-6
In this study, AZ31 Mg alloy sheets were processed by a severe plastic deformation (SPD) technique called forging-bending repeated deformation (FBRD). The effect on the microstructure and microhardness of AZ31 Mg alloy through FBRD was investigated with increasing temperature treatment and a 90° cross route. The results reveal that the effective strain increases with the number of passes. The flow uniformity is effectively enhanced due to alterations in shear deformation direction. After four passes of deformation, the average grain size is refined by 79.3% compared to the initial specimen. The grain refinement mechanism predominantly originates from the synergistic effects of discontinuous dynamic recrystallization (DDRX), continuous dynamic recrystallization (CDRX), and twinning-induced recrystallization (TDRX). The formation of {1012} extension twins (ET) significantly contributes to coarse grain subdivision and plastic deformation coordinated. Furthermore, pyramidal <c+a> slip activation effectively enhances the plasticity of Mg alloys. By post four-pass processing, the alloy exhibits a microhardness of 81.9HV, primarily governed by fine grain strengthening and dislocation strengthening mechanisms.
Int. Journal of Minerals, Metallurgy and Materials (矿物冶金与材料学报)•2025•DOI: 10.1007/s12613-025-3148-0
All-inorganic perovskite CsPbX3 (X = Cl, Br, I) nanocrystals (NCs) have emerged as promising candidates for light-emitting diode (LED) displays due to their outstanding photophysical properties. However, their practical application remains hindered by poor stability and the inherent toxicity of Pb2+. In this study, we present a two-step heating method to synthesize CsPb1−xZnxBr3 NCs with enhanced optoelectronic performance and uniform dispersion. The optimized Zn2+-doped NCs achieve a photoluminescence quantum yield (PLQY) of 86%, with a reduction in lattice spacing from 0.384 to 0.365 nm, attributed to increased perovskite lattice formation energy and effective surface passivation. To further improve stability, a silica (SiO2) shell is introduced via surface modification with (3-aminopropyl) triethoxysilane (APTES), forming CsPb0.7Zn0.3Br3@SiO2 core–shell NCs. At an optimal APTES/B-site metal ion molar ratio of 1.8, the PLQY increases to 96%. The SiO2 encapsulation significantly enhances environmental stability, with coated NCs retaining 43% of their initial photoluminescence (PL) intensity after immersion in water for 36 h, compared to only 5% for uncoated NCs. Furthermore, after ethanol treatment for 210 min, the coated NCs retain 39% of their initial PL intensity, while the uncoated counterparts retain merely 7%. The enhanced stability and luminescence performance of CsPb0.7Zn0.3Br3@SiO2 NCs make them highly promising for LED applications. White light-emitting diodes (WLEDs) fabricated using these NCs exhibit a color rendering index (CRI) of 78.2, a correlated color temperature (CCT) of 5470 K, and a luminous efficiency (LE) of 54.2 lm/W, demonstrating significant potential for next-generation display and lighting technologies.
Nano-Micro Letters•2025•DOI: 10.1007/s40820-024-01573-4
Global interest in lithium–sulfur batteries as one of the most promising energy storage technologies has been sparked by their low sulfur cathode cost, high gravimetric, volumetric energy densities, abundant resources, and environmental friendliness. However, their practical application is significantly impeded by several serious issues that arise at the cathode–electrolyte interface, such as interface structure degradation including the uneven deposition of Li2S, unstable cathode–electrolyte interphase (CEI) layer and intermediate polysulfide shuttle effect. Thus, an optimized cathode–electrolyte interface along with optimized electrodes is required for overall improvement. Herein, we comprehensively outline the challenges and corresponding strategies, including electrolyte optimization to create a dense CEI layer, regulating the Li2S deposition pattern, and inhibiting the shuttle effect with regard to the solid–liquid–solid pathway, the transformation from solid–liquid–solid to solid–solid pathway, and solid–solid pathway at the cathode–electrolyte interface. In order to spur more perceptive research and hasten the widespread use of lithium–sulfur batteries, viewpoints on designing a stable interface with a deep comprehension are also put forth.
Nano-Micro Letters•2025•DOI: 10.1007/s40820-024-01536-9
The incidence of large bone defects caused by traumatic injury is increasing worldwide, and the tissue regeneration process requires a long recovery time due to limited self-healing capability. Endogenous bioelectrical phenomena have been well recognized as critical biophysical factors in bone remodeling and regeneration. Inspired by bioelectricity, electrical stimulation has been widely considered an external intervention to induce the osteogenic lineage of cells and enhance the synthesis of the extracellular matrix, thereby accelerating bone regeneration. With ongoing advances in biomaterials and energy-harvesting techniques, electroactive biomaterials and self-powered systems have been considered biomimetic approaches to ensure functional recovery by recapitulating the natural electrophysiological microenvironment of healthy bone tissue. In this review, we first introduce the role of bioelectricity and the endogenous electric field in bone tissue and summarize different techniques to electrically stimulate cells and tissue. Next, we highlight the latest progress in exploring electroactive hybrid biomaterials as well as self-powered systems such as triboelectric and piezoelectric-based nanogenerators and photovoltaic cell-based devices and their implementation in bone tissue engineering. Finally, we emphasize the significance of simulating the target tissue’s electrophysiological microenvironment and propose the opportunities and challenges faced by electroactive hybrid biomaterials and self-powered bioelectronics for bone repair strategies.