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Review and perspective of materials for flexible solar cells 认领 引用 被引量：16
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作者 Xiaoyue Li Peicheng Li +3 位作者 Zhongbin Wu Deying Luo Hong-Yu Yu Zheng-Hong Lu 《Materials Reports(Energy)》 EI 2021年第1期45-68,共24页
Thin-film flexible solar cells are lightweight and mechanically robust.Along with rapidly advancing battery technology,flexible solar panels are expected to create niche products that require lightweight,mechanical fl... Thin-film flexible solar cells are lightweight and mechanically robust.Along with rapidly advancing battery technology,flexible solar panels are expected to create niche products that require lightweight,mechanical flexibility,and moldability into complex shapes,such as roof-panel for electric automobiles,foldable umbrellas,camping tents,etc.In this paper,we provide a comprehensive assessment of relevant materials suitable for making flexible solar cells.Substrate materials reviewed include metals,ceramics,glasses,and plastics.For active materials,we focus primarily on emerging new semiconductors including small organic donor/acceptor molecules,conjugated donor/acceptor polymers,and organometal halide perovskites.For electrode materials,transparent conducting oxides,thin metal filmsanowires,nanocarbons,and conducting polymers are reviewed.We also discuss the merits,weaknesses,and future perspectives of these materials for developing next-generation flexible photovoltaics. 展开更多
关键词 Flexible solar cells Substrates Electrodes Organic semiconductors Polymers Perovskites Silicon
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Data-driven assessment of lithium-ion battery degradation using thermal patterns from computer vision 认领 引用
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作者 Zihan Li Haiyan Tu +4 位作者 Hailong Wang Linyu Hu Shunpeng Chen Ruiting Yan Xin He 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2025年第6期852-859,I0017,共8页
Accurate estimation on the state of health(SOH)is essential for ensuring the safe and reliable operation of batteries.Traditional assessment methods primarily focus on electrical attributes for capacity decay,often ov... Accurate estimation on the state of health(SOH)is essential for ensuring the safe and reliable operation of batteries.Traditional assessment methods primarily focus on electrical attributes for capacity decay,often overlooking the impact of thermal distribution on battery aging.However,thermal effect is a critical factor for degradation process and associated risks throughout their service life.In this paper,we introduce a novel deep learning framework specially designed to estimate the capacity and thermal risks of lithium-ion batteries(LIBs).This model consists of two main components that leverage computer vision technology.One predicts battery capacity by integrating the advantages of thermal and electrical features using a temporal pattern attention(TPA)mechanism,while the other assesses thermal risk by incorporating temperature variation to provide early warnings of potential hazards.An infrared camera is deployed to record temperature evolution of LIBs during the electrochemical process.The thermal heterogeneities are recorded by infrared camera,and the corresponding temperature evolutions are extracted as representative features for analysis.The proposed model demonstrates high accuracy and stability,with an average root mean square error(RMSE)of 0.67% for capacity estimation and accuracy exceeding 93.9% for risk prediction,underscoring the importance of integrating spatial temperature distribution into battery health assessments.This work offers valuable insights for the development of intelligent and robust battery management systems. 展开更多
关键词 Temperature distribution Deep learning Capacity estimation Temporal pattern attention mechanism Computer vision
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Trends and advanced techniques in high-speed simultaneous bi-directional transceivers for die-to-die interfaces 认领 引用
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作者 Yufeng Ge Ziqi Xue +5 位作者 Xuanyu Li Aoxuan Wen Hongzhi Wu Pingyi Cai Xuxu Cheng Quan Pan 《Journal of Semiconductors》 EI CAS CSCD 2026年第7期18-23,共6页
The rapid proliferation of AI and high-performance computing(HPC)applications is driving chip-to-chip and die-todie(D2D)interfaces toward substantially higher bandwidth density.These high-speed interface technologies ... The rapid proliferation of AI and high-performance computing(HPC)applications is driving chip-to-chip and die-todie(D2D)interfaces toward substantially higher bandwidth density.These high-speed interface technologies are essential for chiplet architectures,high-bandwidth memory(HBM),and heterogeneous integrated systems.Single-ended simultaneous bidirectional(SBD)technology doubles system throughput by enabling concurrent transmission and reception over a single physical channel. 展开更多
关键词 high performance computing interface technologies heterogeneous integrated systemssingle ended chiplet architectureshigh bandwidth AI die die interfaces chip chip concurrent transmission reception
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Modeling,simulations,and optimizations of gallium oxide on gallium-nitride Schottky barrier diodes 认领 引用
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作者 Tao Fang Ling-Qi Li +1 位作者 Guang-Rui Xia Hong-Yu Yu 《Chinese Physics B》 SCIE EI CAS CSCD 2021年第2期457-461,共5页
With technology computer-aided design(TCAD)simulation software,we design a new structure of gallium oxide on gallium-nitride Schottky barrier diode(SBD).The parameters of gallium oxide are defined as new material para... With technology computer-aided design(TCAD)simulation software,we design a new structure of gallium oxide on gallium-nitride Schottky barrier diode(SBD).The parameters of gallium oxide are defined as new material parameters in the material library,and the SBD turn-on and breakdown behavior are simulated.The simulation results reveal that this new structure has a larger turn-on current than Ga2O3 SBD and a larger breakdown voltage than Ga N SBD.Also,to solve the lattice mismatch problem in the real epitaxy,we add a Zn O layer as a transition layer.The simulations show that the device still has good properties after adding this layer. 展开更多
关键词 technology computer-aided design(TCAD) gallium oxide(Ga2O3) gallium nitride(GaN) Schottky barrier diode(SBD)
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Prediction of Thermal Conductance of Complex Networks with Deep Learning 认领 引用 被引量：2
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作者 朱昌良 沈翔瀛 +1 位作者 朱桂妹 李保文 《Chinese Physics Letters》 SCIE EI CAS CSCD 2023年第12期68-72,共5页
Predicting thermal conductance of complex networks poses a formidable challenge in the field of materials science and engineering. This challenge arises due to the intricate interplay between the parameters of network... Predicting thermal conductance of complex networks poses a formidable challenge in the field of materials science and engineering. This challenge arises due to the intricate interplay between the parameters of network structure and thermal conductance, encompassing connectivity, network topology, network geometry, node inhomogeneity, and others. Our understanding of how these parameters specifically influence heat transfer performance remains limited. Deep learning offers a promising approach for addressing such complex problems. We find that the well-established convolutional neural network models AlexNet can predict the thermal conductance of complex network efficiently. Our approach further optimizes the calculation efficiency by reducing the image recognition in consideration that the thermal transfer is inherently encoded within the Laplacian matrix.Intriguingly, our findings reveal that adopting a simpler convolutional neural network architecture can achieve a comparable prediction accuracy while requiring less computational time. This result facilitates a more efficient solution for predicting the thermal conductance of complex networks and serves as a reference for machine learning algorithm in related domains. 展开更多
关键词 network Deep networks
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Prediction of lattice thermal conductivity with two-stage interpretable machine learning 认领 引用 被引量：2
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作者 胡锦龙 左钰婷 +10 位作者 郝昱州 舒国钰 王洋 冯敏轩 李雪洁 王晓莹 孙军 丁向东 高志斌 朱桂妹 李保文 《Chinese Physics B》 SCIE EI CAS CSCD 2023年第4期11-18,共8页
Thermoelectric and thermal materials are essential in achieving carbon neutrality. However, the high cost of lattice thermal conductivity calculations and the limited applicability of classical physical models have le... Thermoelectric and thermal materials are essential in achieving carbon neutrality. However, the high cost of lattice thermal conductivity calculations and the limited applicability of classical physical models have led to the inefficient development of thermoelectric materials. In this study, we proposed a two-stage machine learning framework with physical interpretability incorporating domain knowledge to calculate high/low thermal conductivity rapidly. Specifically, crystal graph convolutional neural network(CGCNN) is constructed to predict the fundamental physical parameters related to lattice thermal conductivity. Based on the above physical parameters, an interpretable machine learning model–sure independence screening and sparsifying operator(SISSO), is trained to predict the lattice thermal conductivity. We have predicted the lattice thermal conductivity of all available materials in the open quantum materials database(OQMD)(http://gffzz99a88b17e6a14152sn5qpxbk9u05o6nou.ffgz.tsg.suse.edu.cn/). The proposed approach guides the next step of searching for materials with ultra-high or ultralow lattice thermal conductivity and promotes the development of new thermal insulation materials and thermoelectric materials. 展开更多
关键词 low lattice thermal conductivity interpretable machine learning thermoelectric materials physical domain knowledge
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Altering polythiophene derivative substrates to explore the mechanism of heterogeneous lithium nucleation for dendrite-free lithium metal anodes 认领 引用 被引量：1
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作者 Yanchen Fan Yi Zhao +7 位作者 Shuang Li Yue Liu You Lv Yuan Zhu Rong Xiang Shigeo Maruyama Hao Zhang Qianfan Zhang 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2021年第8期63-68,I0003,共6页
Lithium metal batteries(LMBs)possess outstanding theoretical energy density and have attracted widespread attention as the next generation of energy storage devices for various crucial applications.However,the commerc... Lithium metal batteries(LMBs)possess outstanding theoretical energy density and have attracted widespread attention as the next generation of energy storage devices for various crucial applications.However,the commercialization of LMBs has to simultaneously overcome numerous challenges,such as inferior Coulombic efficiency and cycling performance,high self-discharge,and complicated interfacial reactions.It has traditionally been an enormous challenge about the uniform deposition of lithium on the surface of current collector to relieve the formation of lithium dendrites.In this study,a novel efficient strategy of plating uniform lithiophilic polythiophene derivatives substrates on Cu foils was developed and the nucleation mechanism of Li ions on polythiophene derivatives substrates was further explored.We first explored the interaction between polythiophene derivatives substrates and Li ions by firstprinciples calculations,and found shorter side chains of polythiophene derivatives can enhance the adsorption energy and promote the diffusion rate of Li ions.Polythiophene derivatives substrates have a large number of dispersive lipophilic sites and Li ions diffusion channels in the main chain,which can effectively regulate the nucleation and growth stages of Li ions deposition.We further found polythiophene derivatives with different side chains can induce the electrodeposition of Li ions with different morphology,while the polythiophene derivatives with the shortest side chains can contribute to the most excellent cycle efficiency,resulting in a uniform lithium deposition with less lithium dendritic growth experimentally. 展开更多
关键词 First-principles calculations Lithium metal batteries Nucleation mechanism
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Nano device fabrication for in-memory and in-sensor reservoir computing 认领 引用 被引量：3
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作者 Yinan Lin Xi Chen +4 位作者 Qianyu Zhang Junqi You Renjing Xu Zhongrui Wang Linfeng Sun 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2025年第1期46-71,共26页
Recurrent neural networks(RNNs)have proven to be indispensable for processing sequential and temporal data,with extensive applications in language modeling,text generation,machine translation,and time-series forecasti... Recurrent neural networks(RNNs)have proven to be indispensable for processing sequential and temporal data,with extensive applications in language modeling,text generation,machine translation,and time-series forecasting.Despite their versatility,RNNs are frequently beset by significant training expenses and slow convergence times,which impinge upon their deployment in edge AI applications.Reservoir computing(RC),a specialized RNN variant,is attracting increased attention as a cost-effective alternative for processing temporal and sequential data at the edge.RC’s distinctive advantage stems from its compatibility with emerging memristive hardware,which leverages the energy efficiency and reduced footprint of analog in-memory and in-sensor computing,offering a streamlined and energy-efficient solution.This review offers a comprehensive explanation of RC’s underlying principles,fabrication processes,and surveys recent progress in nano-memristive device based RC systems from the viewpoints of in-memory and in-sensor RC function.It covers a spectrum of memristive device,from established oxide-based memristive device to cutting-edge material science developments,providing readers with a lucid understanding of RC’s hardware implementation and fostering innovative designs for in-sensor RC systems.Lastly,we identify prevailing challenges and suggest viable solutions,paving the way for future advancements in in-sensor RC technology. 展开更多
关键词 reservoir computing memristive device fabrication compute-in-memory in-sensor computing
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Ammonium Sensing Patch with Ultrawide Linear Range and Eliminated Interference for Universal Body Fluids Analysis 认领 引用 被引量：1
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作者 Mingli Huang Xiaohao Ma +7 位作者 Zongze Wu Jirong Li Yuqing Shi Teng Yang Jiarun Xu Shuhan Wang Kongpeng Lv Yuanjing Lin 《Nano-Micro Letters》 SCIE EI CAS CSCD 2025年第4期332-346,共15页
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 noninvasive manners is hig... 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 noninvasive 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. 展开更多
关键词 Biocompatible sensors Implantable bioelectronics Ammonium sensing Cross-calibration Ultrawide linear range
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A cascadable stereo matching processor with pixel-wise fusion for extended depth sensing 认领 引用 被引量：1
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作者 Zhuoyu Chen Pingcheng Dong +4 位作者 Zhiyong Lai Wenyue Zhang Xianglong Wang Lei Chen Fengwei An 《Journal of Semiconductors》 EI CAS CSCD 2026年第6期59-71,共13页
Achieving long-range,high-accuracy depth perception under stringent power constraints remains a critical challenge for stereo vision in edge applications.This work presents a cascadable stereo matching processor that ... Achieving long-range,high-accuracy depth perception under stringent power constraints remains a critical challenge for stereo vision in edge applications.This work presents a cascadable stereo matching processor that overcomes the inherent trade-off between sensing range and computational efficiency.The core innovation is a scalable semi-global matching(SSGM)algorithm which dynamically optimizes the disparity search range for different baselines,ensuring constant on-chip memory usage and a significant reduction in data movement.The architecture further integrates a raw-domain rectification front-end,which performs direct geometric transformation on Bayer-patterned image streams.This approach eliminates the need for external memory access by bypassing conventional ISP pipelines,thereby maximizing throughput and reducing system memory consumption.Parallel processing paths for multiple baselines converge in a pixel-wise fusion module,which synthesizes a unified depth map by selecting the most reliable disparity estimate for each output pixel.The cascadable stereo matching processor achieves speedups of up to 178x and 97x over CPU and EdgeGPU platforms,respectively,in multi-baseline stereo disparity fusion.Implemented in 40-nm CMOS technology,the processor operates at 160 MHz,achieving a processing speed of 80 frames per second with an energy efficiency of 7.9 pJ/pixel and occupying a core area of 6.04 mm2. 展开更多
关键词 hardware architecture stereo vision real-time system multi-baseline stereo disparity fusion
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Bifunctional optical probe based on La3Mg2SbO9:Mn4+phosphors for temperature and pressure sensing 认领 引用 被引量：5
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作者 Zhanglin Chen Songmo Du +7 位作者 Fei Li Shijia Zhang Shuo Zhao Zhaobo Tian Jie Zhang Xuanyi Yuan Guanghua Liu Kexin Chen 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2024年第27期98-109,共12页
Photoluminescent materials,serving as optical probes,constitute a significant medium for reliable re-mote sensing of fundamental state parameters such as temperature and pressure.Herein,we report a novel Mn4+-activ... Photoluminescent materials,serving as optical probes,constitute a significant medium for reliable re-mote sensing of fundamental state parameters such as temperature and pressure.Herein,we report a novel Mn4+-activated perovskite-type La3 Mg2 SbO9 phosphor(LMS:Mn4+)for bifunctional application in both thermometry and manometry.Upon excitation with 341 nm,LMS:Mn4+(0.7%Mn4+)emits a bright narrow-band red light peaking at 705 nm with an FWHM(full width at half maximum)of 32 nm.As a thermometer,when the temperature surpasses 298 K,non-radiative transitions from the 2Eg excited state lead to a sharp decrease in decay lifetimes with increasing temperature.This allows for lifetime-based luminescence thermometry with a relative sensitivity of 2.52%K−1 at 391 K.Moreover,LMS:Mn4+was processed into a temperature-sensing coating and its non-contact thermometry functionality was validated.In manometry applications,the LMS:Mn4+probe experiences substantial pressure-dependent redshift with a sensitivity of 1.20 nm GPa−1 in the testing range of 9.48 GPa,which is about 3.3 times that of conventional ruby probes.Furthermore,its FWHM consistently remains below 37 nm,which con-tributes to a high reliability of pressure measurements.The above results indicate that the LMS:Mn4+constitutes a promising bifunctional luminescence probe material in thermometry and manometry. 展开更多
关键词 Perovskite Phosphors Thermometry Manometry
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A Novel Strategy for Anisotropic Thermoelectric Characterization:Tensor Inversion Method 认领 引用
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作者 Yao Lu 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第2期326-327,共2页
Thermoelectric(TE)materials,which enable direct conversion between thermal and electrical energy,have long held promise for applications in waste heat recovery,solid-state refrigeration,and deep-space exploration.[1-3... Thermoelectric(TE)materials,which enable direct conversion between thermal and electrical energy,have long held promise for applications in waste heat recovery,solid-state refrigeration,and deep-space exploration.[1-3]Their energy conversion efficiency is governed by the dimensionless figure of merit zT=S2T/ρκ,where the Seebeck coefficient(S). 展开更多
关键词 tensor inversion method thermoelectric materials zt figure energy conversion direct conversion thermal electrical energyhave anisotropic characterization dimensionless figure merit energy conversion efficiency
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GaN chips for monitoring density and temperature of lead-acid batteries 认领 引用
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作者 Zhiyong Ye Ganyuan Deng +4 位作者 Dongmiao Liu Jingyan Wang Xiaodi Gao Kwai Hei Li Ling Zhu 《Chip》 EI CSCD 2025年第3期34-41,共8页
Lead-acid batteries are indispensable in various applications,and it is crucial to monitor their status.However,the existing sensing units for lead-acid batteries are limited by their bulky size,slow response time,and... Lead-acid batteries are indispensable in various applications,and it is crucial to monitor their status.However,the existing sensing units for lead-acid batteries are limited by their bulky size,slow response time,and lack of temperature sensing and compensation capabilities.In the current work,a compact GaN-based sensing device was proposed to simultaneously measure the electrolyte density and temperature.The device comprises a light-emitting diode(LED)and a photodetector(PD)integrated on a GaN-on-sapphire chip in a monolithic configuration.The forward voltage of the LED reflects the electrolyte temperature,while the photocurrent of the PD varies with electrolyte density due to optical reflection changes at the exposed sapphire interface.The measured signals were processed using a decoupling matrix to achieve temperature compensation.The device exhibits a sensitivity of−29.1μA/(g/cm3)for density in the range of 1.09 g/cm3 to 1.29 g/cm3,and-1.07 mV/℃for temperature in the range of 25 to 45℃.The performance of the device was also validated through comparisons with commercial meters and real-time monitoring during the charging and discharging of the batteries.The device has notable advantages in size,cost,and fast responseecovery time(134.3/201.4 ms),rendering it a promising tool for monitoring lead-acid batteries. 展开更多
关键词 GaN Lead-acid battery density Battery temperature
Electrically reconfigurable surface acoustic wave phase shifters based on ZnO TFTs on LiNbO3substrate 认领 引用
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作者 Yi Zhang Zilong Xiong +13 位作者 Lewei He Yang Jiang Chenkai Deng Fangzhou Du Kangyao Wen Chuying Tang Qiaoyu Hu Mujun Li Xiaohui Wang Wenhui Wang Han Wang Qing Wang Hongyu Yu Zhongrui Wang 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2025年第3期493-503,共11页
Reconfigurable surface acoustic wave(SAW)phase shifters have garnered significant attention owing to their potential applications in emerging fields such as secure wireless communication,adaptable signal processing,an... Reconfigurable surface acoustic wave(SAW)phase shifters have garnered significant attention owing to their potential applications in emerging fields such as secure wireless communication,adaptable signal processing,and intelligent sensing systems.Among various modulation methods,employing gate voltage-controlled tuning methodologies that leverage acoustoelectric interactions has proven to be an efficient modulation approach that requires a low bias voltage.However,current acoustoelectric devices suffer from limited tunability,intricate heterogeneous structures,and complex manufacturing processes,all of which impede their practical applications.In this study,we present a novel material system for voltage-tunable SAW phase shifters.This system incorporates an atomic layer deposition ZnO thin-film transistors on LiNbO3structure.This structure combines the benefits of LiNbO3's high electromechanical coupling coefficient(K2)and ZnO's superior conductivity adjustability.Besides,the device possesses a simplified structural configuration,which is easy to fabricate.Devices with different mesa lengths were fabricated and measured,and two of the different modes were compared.The results indicate that both the maximum phase shift and attenuation of the Rayleigh mode and longitudinal leaky SAW(LLSAW)increase proportionally with mesa length.Furthermore,LLSAW with larger effective electromechanical coupling coefficients(Keff2)values exhibits greater phase velocity shifts and attenuation coefficients,with a maximum phase velocity tuning of 1.22%achieved.It is anticipated that the proposed devices will find utility in a variety of applications necessitating tunable acoustic components. 展开更多
关键词 phase shifters surface acoustic wave acoustoelectric effect ZnO thin-film transistors
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Spatial modulation of nanopattern dimensions by combining interference lithography and grayscale-patterned secondary exposure 认领 引用 被引量：8
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作者 Zhuofei Gan Hongtao Feng +8 位作者 Liyang Chen Siyi Min Chuwei Liang Menghong Xu Zijie Jiang Zhao Sun Chuying Sun Dehu Cui Wen-Di Li 《Light: Science & Applications》 SCIE EI CSCD 2022年第5期832-841,共10页
Functional nanostructures are exploited for a variety of cutting-edge fields including plasmonics,metasurfaces,and biosensors,just to name a few.Some applications require nanostructures with uniform feature sizes whil... Functional nanostructures are exploited for a variety of cutting-edge fields including plasmonics,metasurfaces,and biosensors,just to name a few.Some applications require nanostructures with uniform feature sizes while others rely on spatially varying morphologies.However,fine manipulation of the feature size over a large area remains a substantial challenge because mainstream approaches to precise nanopatterning are based on low-throughput pixel-by-pixel processing,such as those utilizing focused beams of photons,electrons,or ions.In this work,we provide a solution toward wafer-scale,arbitrary modulation of feature size distribution by introducing a lithographic portfolio combining interference lithography(IL)and grayscale-patterned secondary exposure(SE).Employed after the high-throughput IL,a SE with patterned intensity distribution spatially modulates the dimensions of photoresist nanostructures.Based on this approach,we successfully fabricated 4-inch wafer-scale nanogratings with uniform linewidths of<5%variation,using grayscale-patterned SE to compensate for the linewidth difference caused by the Gaussian distribution of the laser beams in the IL.Besides,we also demonstrated a wafer-scale structural color painting by spatially modulating the filling ratio to achieve gradient grayscale color using SE. 展开更多
关键词 lithography dimensions spatially
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Synthesis and properties of MoAlB composites reinforced with SiC particles 认领 引用 被引量：7
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作者 Weiwei ZHANG Shibo LI +7 位作者 Shuang WU Boxiang YAO Shukai FAN Guoping BEI Wenbo YU Yang ZHOU Ying WU Sun-An DING 《Journal of Advanced Ceramics》 SCIE EI CAS CSCD 2022年第3期495-503,共9页
Novel MoAlB composites reinforced with 5–15 vol% SiC have been firstly prepared and characterized in the present study. The SiC reinforcement is stable with MoAlB at a sintering temperature of 1200 ℃ in Ar. The 5 vo... Novel MoAlB composites reinforced with 5–15 vol% SiC have been firstly prepared and characterized in the present study. The SiC reinforcement is stable with MoAlB at a sintering temperature of 1200 ℃ in Ar. The 5 vol% SiC/MoAlB composite exhibited improved mechanical properties and enhanced oxidation resistance. A flexural strength of 380 MPa and a Vickers hardness of 12.7 GPa were achieved and increased by 24% and 51%, respectively, as compared with those for MoAlB, indicating the enhanced strengthening effect of SiC. Cyclic oxidation tests at 1200 and 1300 ℃ for 10 h in air showed that the 5 vol% SiC/MoAlB composite has better oxidation resistance than MoAlB due to the formation of a dense and continuous scale composed of Al2O3 and SiO2, which prevents the oxygen inward diffusion and the evaporation of oxides. We expect that the general strategy of second phase reinforcing for materials will help to widen the applications of MoAlB composites. 展开更多
关键词 SiC/MoAlB composite mechanical properties oxidation microstructure
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Enhancing the thermal conductivity of nanofibrillated cellulose films with 1D BN belts formed by in-situ generation and sintering of BN nanosheets 认领 引用 被引量：2
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作者 Baokai Wang Zheng Zhao +10 位作者 Mengyi Li Mengyang Niu Jialu Tian Chang Yu Shiqin Wan Ming Yue Weiwei Xuan Wenbin Cao Zhaobo Tian Kexin Chen Qi Wang 《Journal of Advanced Ceramics》 SCIE EI CAS CSCD 2023年第12期2257-2270,共14页
The rapid miniaturization and high integration of modern electronic devices have brought an increasing demand for polymer-based thermal management materials with higher thermal conductivity.Boron nitride nanosheets(BN... The rapid miniaturization and high integration of modern electronic devices have brought an increasing demand for polymer-based thermal management materials with higher thermal conductivity.Boron nitride nanosheets(BNNs)have been widely used as thermally conductive fillers benefiting from the extremely high intrinsic thermal conductivity.However,the small lateral size and weak interface bonding of BNNs enabled them to only form thermally conductive networks through physical overlap,resulting in high interfacial thermal resistance.To address this issue,an innovative strategy based on interface engineering was proposed in this study.High-aspect-ratio boron nitride belts(BNbs)were successfully synthesized by carbon thermal reduction nitridation method through the in-situ generation and sintering of BNNs.The surface of BNb showed the sintering of numerous smaller-sized BNNs,which precisely addresses the issue of weak interfacial bonding between BNNs.On this basis,the as-synthesized BNbs were combined with nano-fibrillated cellulose(NFC)to prepare NFC/BNb composite films through a facile vacuum filtration process.Due to the thermally conductive network formed by the horizontal oriented arrangement of BNb and their particular morphological advantages,the NFC/BNb films demonstrated significantly higher in-plane thermal conductivity than that of NFC/BNNs films,achieving the highest value of 19.119 W·m−1·K−1 at a 20 wt%filling fraction.In addition,the NFC/BNb films also exhibited superior thermal stability,mechanical strength,flexibility,and electrical insulation performance,suggesting the significant application potential of the designed BNb fillers in the thermal management field. 展开更多
关键词 boron nitride(BN) thermal management materials vacuum filtration flexible thermally conductive films
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Erratum to:a multi-modal smart chest patch for real-time cardiopulmonary monitoring and anomaly detection(vol 68,issue 12,page 4422,2025) 认领 引用
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作者 Shirong Qiu Tianxiao Xiao +5 位作者 Yihao Li Xiong Yu Shun Wu Yiming Zhang Yuanjing Lin Ni Zhao 《Science China Materials》 SCIE EI CAS CSCD 2026年第3期1814-1814,共1页
In the version of the article originally published in the volume 68,issue 12,2025 of Sci China Mater(pages 4413-4422,http://gffzzd3cc09b8251d45dfsn5qpxbk9u05o6nou.ffgz.tsg.suse.edu.cn/10.1007/s40843-025-3667-7),the Chinese name of the co-first author(肖天孝)was incorr... In the version of the article originally published in the volume 68,issue 12,2025 of Sci China Mater(pages 4413-4422,http://gffzzd3cc09b8251d45dfsn5qpxbk9u05o6nou.ffgz.tsg.suse.edu.cn/10.1007/s40843-025-3667-7),the Chinese name of the co-first author(肖天孝)was incorrect.The corrected Chinese name is:肖天笑. 展开更多
关键词 cardiopulmonary monitoring anomaly detection multi modal monitoring smart chest patch
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Multifunctional flexible thermoelectric devices for next-generation wearable and integrated systems 认领 引用
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作者 Sihui Li Wantian Zhang +1 位作者 Li-Dong Zhao Yao Lu 《Science China Materials》 SCIE EI CAS CSCD 2026年第2期636-650,共15页
Flexible thermoelectrics(f-TEs)are being developed rapidly due to their unique advantages,such as direct conversion between electricity and thermal energy,compatibility with curved heat sources,and ease of integration... Flexible thermoelectrics(f-TEs)are being developed rapidly due to their unique advantages,such as direct conversion between electricity and thermal energy,compatibility with curved heat sources,and ease of integration.Over the past decade,significant progress has been made in enhancing the overall performance of f-TE materials and devices,particularly in terms of output power,mechanical flexibility,and durability.Recent research efforts are increasingly focused on translating these advancements into practical applications across diverse fields.For example,f-TE-based multimodal sensors are capable of simultaneously detecting temperature,pressure and strain.In biomedicine,f-TE generators are being explored for wound healing,antibacterial therapy,and neural modulation.Furthermore,f-TE devices show promise in personalized thermal management and hybrid energy harvesting systems.This review moves beyond material preparation and device optimization to focus on the expanding multifunctional applications of f-TEs.We provide a broad perspective by comprehensively exploring the latest progress of f-TEs in intelligent sensing,biomedicine,personalized thermal management,and multifunctional hybrid systems.Key challenges are also discussed,including the development of high-performance flexible devices,robust bio-interfaces,ensuring long-term stability,and achieving intelligent integration with data-driven algorithms and multimodal platforms.Finally,we offer insights into future directions for f-TEs,pointing toward next-generation intelligent and bio-integrated flexible electronics. 展开更多
关键词 thermoelectrics wearable devices self-powered sensors wound healing integrated systems
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Wearable sweat biosensors on textiles for health monitoring 认领 引用 被引量：14
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作者 Yuqing Shi Ziyu Zhang +2 位作者 Qiyao Huang Yuanjing Lin Zijian Zheng 《Journal of Semiconductors》 EI CAS CSCD 2023年第2期11-24,共14页
With the rapid technological innovation in materials engineering and device integration,a wide variety of textilebased wearable biosensors have emerged as promising platforms for personalized healthcare,exercise monit... With the rapid technological innovation in materials engineering and device integration,a wide variety of textilebased wearable biosensors have emerged as promising platforms for personalized healthcare,exercise monitoring,and pre-diagnostics.This paper reviews the recent progress in sweat biosensors and sensing systems integrated into textiles for wearable body status monitoring.The mechanisms of biosensors that are commonly adopted for biomarkers analysis are first introduced.The classification,fabrication methods,and applications of textile conductors in different configurations and dimensions are then summarized.Afterward,innovative strategies to achieve efficient sweat collection with textile-based sensing patches are presented,followed by an in-depth discussion on nanoengineering and system integration approaches for the enhancement of sensing performance.Finally,the challenges of textile-based sweat sensing devices associated with the device reusability,washability,stability,and fabrication reproducibility are discussed from the perspective of their practical applications in wearable healthcare. 展开更多
关键词 biosensor textile-based electronics wearable device sweat analysis health monitoring
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