Opto-Electronic Advances (光电进展)•2026•DOI: 10.29026/oea.2026.250260
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)•2026•DOI: 10.11943/CJEM2026021
To elucidate the influence mechanism of particle size on the ignition and combustion behavior of Al-Li-Mg alloys, four alloy powders with median diameters of 9, 13, 16, and 24 μm were systematically investigated. Physicochemical properties were characterized by laser diffraction, scanning electron microscopy, X-ray diffraction, simultaneous thermal analysis, and oxygen bomb calorimetry. Ignition and combustion behaviors were assessed using a laser ignition test bench equipped with high-speed photography and fiber-optic spectrometry. Results show that with increasing particle size, ignition delay time first decreases sharply then stabilizes, dropping from 135 ms (9 μm) to 51 ms (13 μm), then to 15 ms (16 μm) and 18 ms (24 μm). Combustion intensity, indicated by maximum spectral intensity, decreases from 7300.4 (9 μm) to 1721.6 (24 μm). Combustion duration initially extends slightly then stabilizes, from 857 ms (9 μm) to 928 ms (13 μm) and approximately 920 ms for larger sizes. Notably, the 13 μm alloy achieves an optimal balance among ignition delay (51 ms), combustion duration (928 ms), and combustion intensity (6041.8). The study reveals a critical size effect: between 13 and 16 μm, ignition delay drops by 71% while combustion intensity decreases by 54%, indicating a transition from surface-diffusion-controlled to micro-explosion-dominated combustion. This mechanism arises from competition between heat conduction and elemental diffusion: larger particles restrict heat transfer, promoting Li and Mg surface enrichment and temperature gradients that induce micro-explosions, thereby shortening ignition delay but reducing combustion efficiency and intensity.
Journal of Shanghai Jiao Tong University (Science) (上海交通大学学报)•2026•DOI: 10.16183/j.cnki.jsjtu.2026.105
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)•2026•DOI: 10.16183/j.cnki.jsjtu.2026.058
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)•2026•DOI: 10.16183/j.cnki.jsjtu.2026.066
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 Shanghai Jiao Tong University (Science) (上海交通大学学报)•2026•DOI: 10.16183/j.cnki.jsjtu.2026.105
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)•2026•DOI: 10.16183/j.cnki.jsjtu.2026.058
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)•2026•DOI: 10.16183/j.cnki.jsjtu.2026.066
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.
China Foundry•2026•DOI: 10.1007/s41230-026-5085-6
Electroslag remelting (ESR) is an important metallurgical process for producing high-purity materials with homogeneous compositions and sound microstructures, and its typical products are ingots or simple castings. The core principle involves the resistive melting of a consumable electrode within a slag pool, followed by the refining of molten metal droplets as they traverse the slag, and subsequent sequential solidification in a water-cooled mold. However, conventional ESR processes face limitations in producing large or complex-shaped components, enhancing production efficiency, achieving highly specialized microstructures, and meeting ultra-high purity demands for advanced applications. Advanced composite ESR technologies have been developed to overcome these limitations by innovatively modifying key process aspects. For instance, electrode systems are improved using vibration, rotation, or multiple electrodes. Enhanced mold design and solidification control are achieved through techniques including conductive molds, mold rotation, and ingot withdrawal. Precise control of the process is realized through the use of protective gas, vacuum, or elevated pressure, as well as the application of external fields such as magnetic fields or ultrasonic vibration. This review comprehensively summarizes these advanced techniques, examining their principles and characteristics, and discussing their specific advantages and challenges.
Nano-Micro Letters•2026•DOI: 10.1007/s40820-025-01987-8
Highly active and stable FeOOH cocatalysts are essential for achieving optimal performance of BiVO4 (BVO) photoanodes. Despite offering remarkable structural stability, widely used thick FeOOH cocatalysts often suffer from insufficient hole transport capability, which hinders the overall activity. The present study demonstrates that a simple photoetching strategy is able to introduce gradient distributed oxygen vacancies (GOV) in the thick FeOOH layer and significantly enhances the photogenerated holes transport dynamics. The incorporation of GOV within FeOOH not only realizes the “relay transport” of photogenerated hole through the progressive upward shift of the valence band in the spatial distribution, but also provides abundant oxidation active sites by efficient hole trapping. These improvements effectively improve the oxygen evolution reaction (OER) activities and mitigate photocorrosion by the instantaneous hole extraction. Consequently, the FeOOH-GOV layer enables the BVO/FeOOH-GOV photoanode to achieve an impressive photocurrent density of 5.37 mA cm−2 and a robust operational stability up to 160 h at 1.23 VRHE, setting new benchmarks for current density and stability in FeOOH-based BVO photoanodes. This work provides an effective avenue to optimize OER cocatalysts for constructing highly efficient and stable photoelectrochemical water splitting devices.
Journal of Shanghai Jiao Tong University (Science) (上海交通大学学报)•2025•DOI: 10.16183/j.cnki.jsjtu.2025.150
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)•2025•DOI: 10.1016/S1003-6326(25)66986-X
The hydrogen reduction kinetics of tungsten trioxide (WO3) was investigated via non-isothermal thermogravimetric analysis. Under the local gas–solid reduction conditions, the particle morphology of tungsten powders was found to be consistent with that of raw material WO3. The removal of oxygen from tungsten oxide during hydrogen reduction led to the formation of porous structures between the reduced particles, which were obviously different from the polyhedral single-crystal configuration of tungsten powders obtained via chemical vapor deposition. Moreover, the two-stage hydrogen reduction mechanisms of WO3 under the local gas–solid reduction conditions can be described using the composite autocatalytic function. The activation energies of the first and second stages of the hydrogen reduction of WO3 were determined to be 121 and 135 kJ/mol, respectively.
Int. Journal of Minerals, Metallurgy and Materials (矿物冶金与材料学报)•2025•DOI: 10.1007/s12613-024-3043-0
Tensile deformation and microvoid formation of quenched and tempered SA508 Gr.3 steel were studied using an in-situ digital image correlation technique and in-situ electron backscatter diffraction (EBSD) measurements. The quenched steel with a mixture of upper bainite and granular bainite exhibited a high ultimate tensile strength (UTS) of ~795 MPa and an elongation of ~25%. After tempering, long-rod carbides and accumulated carbide particles were formed at the interface of bainite–ferrite subunits and prior austenite grain boundaries (PAGBs), respectively. The UTS of the tempered steel decreased to ~607 MPa, whereas the total elongation increased to 33.0% with a local strain of 191.0% at the necked area. In-situ EBSD results showed that strain localization in the bainite–ferrite produced lattice rotation and dislocation pileup, thus leading to stress concentration at the discontinuities (e.g., martensite–austenite islands and carbides). Consequently, the decohesion of PAGBs dotted with martensite–austenite islands was the dominant microvoid initiation mechanism in the quenched steel, whereas microvoids primarily initiated through the fracturing of long-rod carbides and the decohesion of PAGBs with carbides aggregation in the tempered steel. The fracture surfaces for both the quenched and tempered specimens featured dimples, indicating the ductile failure mechanism caused by microvoid coalescence.
Int. Journal of Minerals, Metallurgy and Materials (矿物冶金与材料学报)•2025•DOI: 10.1007/s12613-024-3031-4
Electrocatalytic N2 reduction reaction (NRR) has been considered as a promising and alternative strategy for the synthesis of NH3, which will contribute to the goal of carbon neutrality and sustainability. However, this process often suffers from the barrier for N2 activation and competitive reactions, resulting in poor NH3 yield and low Faraday efficiency (FE). Here, we report a two-dimensional (2D) ultrathin FeS nanosheets with high conductivity through a facile and scalable method under mild condition. The synthesized FeS catalysts can be used as the work electrode in the electrochemical NRR cell with N2-saturated Na2SO4 electrolyte. Such a catalyst shows a NH3 yield of 9.0 μg·h−1·mg−1 (corresponding to 1.47 × 10−4 μmol·s−1·cm−2) and a high FE of 12.4%, which significantly outperformed the other most NRR catalysts. The high catalytic performance of FeS can be attributed to the 2D mackinawite structure, which provides a new insight to explore low-cost and high-performance Fe-based electrocatalysts, as well as accelerates the practical application of the NRR.
Nano-Micro Letters•2025•DOI: 10.1007/s40820-024-01570-7
Efficient and stable photocathodes with versatility are of significance in photoassisted lithium-ion batteries (PLIBs), while there is always a request on fast carrier transport in electrochemical active photocathodes. Present work proposes a general approach of creating bulk heterojunction to boost the carrier mobility of photocathodes by simply laser assisted embedding of plasmonic nanocrystals. When employed in PLIBs, it was found effective for synchronously enhanced photocharge separation and transport in light charging process. Additionally, experimental photon spectroscopy, finite difference time domain method simulation and theoretical analyses demonstrate that the improved carrier dynamics are driven by the plasmonic-induced hot electron injection from metal to TiO2, as well as the enhanced conductivity in TiO2 matrix due to the formation of oxygen vacancies after Schottky contact. Benefiting from these merits, several benchmark values in performance of TiO2-based photocathode applied in PLIBs are set, including the capacity of 276 mAh g−1 at 0.2 A g−1 under illumination, photoconversion efficiency of 1.276% at 3 A g−1, less capacity and Columbic efficiency loss even through 200 cycles. These results exemplify the potential of the bulk heterojunction strategy in developing highly efficient and stable photoassisted energy storage systems.