Results 181 to 190 of about 10,016,579 (306)

Wavy‐Interlocked Stretchable Triboelectric Nanogenerators Enhanced by Liquid Metal Microflowers for Self‐Powered Wearable Motion Monitoring

Advanced Science, EarlyView.
Schematic showing a stretchable triboelectric nanogenerator based on interlocked wavy architectures that uses EGaIn microflower‐embedded PVDF‐TrFE and Nylon‐6 nanofiber membranes. The multi‐petaled, electron‐rich EGaIn microflowers enhance interfacial polarization and capacitance, while the interlocked wavy architecture enlarges the effective contact ...
Qianqian Xu, Huimin Li, Hanmin Zeng, Yahui Meng, Yimeng He, Xinke Hu, Senfeng Zhao, Jianxun Zhang, Peiqiong Zhou, Kechao Zhou, Dou Zhang, Chris Bowen, Yan Zhang   +12 more
wiley   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Foundations of operator state monitoring system development in aviation. [PDF]

Front Physiol
Woodruff K, Thatcher A, Tokadlı G, Gandy T, Jones N.   +4 more
europepmc   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

An Activity‐Reinforced P‐Modified Single‐Atom Cu Nanozyme Potentiates IDO Blockade‐Induced Tumor Radiotherapy

Advanced Science, EarlyView.
A phosphorus‐modified single‐atom copper nanozyme delivering the IDO1 inhibitor 1‐methyl‐tryptophan enhances breast cancer radioimmunotherapy by simultaneously relieving hypoxia and inducing immunogenic cell death through dual enzyme activities while blocking tryptophan metabolism to suppress regulatory T cell function.
Wei Zhao, Songliu Hu, Zhanggui Wang, Liqun Wang, Liming Zhang, Qi Li, Hua Tang, Yang Zhong, Zhongxian Zhang, Kelong Fan, Shipeng Ning, Xiyun Yan   +11 more
wiley   +1 more source

A plug-and-play multi-organ-on-chip for studying interaction between central nervous system and peripheral monocytes following neuroinjury from radiation and Parkinson's disease. [PDF]

RSC Adv
Chen Y, Wan Z, Liu B, Ma H, Wang S, Cui Y, Deng Y, Du J.   +7 more
europepmc   +1 more source

Type‐II Dirac Fermions in Monolayer In2O: Interplay of Magnetotransport, Spin Hall Effect, and Superconductivity

Advanced Science, EarlyView.
First‐principles calculations reveal that monolayer In2O${\rm In}_2{\rm O}$ hosts type‐II Dirac fermions near the Fermi level, which split into Weyl points under spin‐orbit coupling. The material exhibits negative and giant magnetoresistance, a pronounced spin Hall effect, and phonon‐mediated superconductivity at 1.5 K, establishing it as a unique ...
Qing‐Bo Liu, De‐Ming Feng, Wen‐Neng Zhao, Yu‐Yang Zhao, Lun Xiong, Xing‐Yi Tan, Hua‐Hua Fu   +6 more
wiley   +1 more source

Laser Vibrometry and Dispersion Analysis-Enabled Mechanical Property Characterization for Additively Manufactured Thermoset Composites. [PDF]

Research (Wash D C)
Cai B, Moomaw A, Du Y, Li T, Li J, Bo L, Sullivan R, Huberty W, Sun C, Tian Z.   +9 more
europepmc   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

Heat transfer in aerospace applications /

Heat Transfer in Aerospace Applications is the first book to provide an overall description of various heat transfer issues of relevance for aerospace applications.
Sundén, Bengt,author., Fu, Juan,author.   +1 more
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