Results 171 to 180 of about 566,519 (289)

Non‐Equilibrium Synthesis Methods to Create Metastable and High‐Entropy Nanomaterials

Advanced Science, EarlyView.
ABSTRACT Stabilizing multiple elements within a single phase enables the creation of advanced materials with exceptional properties arising from their complex composition. However, under equilibrium conditions, the Hume–Rothery rules impose strict limitations on solid‐state miscibility, restricting combinations of elements with mismatched crystal ...
Shuo Liu, Chaochao Dun, Jeffrey J. Urban, Mark T. Swihart   +3 more
wiley   +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

Empowering Carbon Fibers With Ti3C2Tx MXene: A Paradigm Shift Toward Integrated Structure‐Function Composites

Advanced Science, EarlyView.
This review comprehensively outlines how Ti3C2Tx MXene transforms carbon fiber from a structural component into a multifunctional platform. We systematically detail cutting‐edge modification strategies and showcase exceptional performance in EMI shielding, energy storage, smart sensing, and beyond.
Hongshuo Cao, Yue Xing, Jiangman Sun, Yanhong Tian, Yangyang Gao, Xuejun Zhang, Xiubing Liang   +6 more
wiley   +1 more source

Toward Smart VR Education in Media Production: Integrating AI into Human-Centered and Interactive Learning Systems. [PDF]

Biomimetics (Basel)
Su Z, Tan TG, Chen L, Su H, Alfayad S.
europepmc   +1 more source

Neural Information Processing and Time‐Series Prediction with Only Two Dynamical Memristors

Advanced Electronic Materials, EarlyView.
The present study demonstrates how simple circuits with only two memristive devices are utilized to perform high complexity temporal information processing tasks, like neural spike detection in noisy environment, or time‐series prediction. This circuit simplicity is enabled by the dynamical complexity of the memristive devices, i.e.
Dániel Molnár, Tímea Nóra Török, János Volk, Roland Kövecs, László Pósa, Péter Balázs, György Molnár, Nadia Jimenez Olalla, Zoltán Balogh, János Volk, Juerg Leuthold, Miklós Csontos, András Halbritter   +12 more
wiley   +1 more source

Mechanistic Considerations for Battery Charging Protocol Design

Advanced Energy Materials, EarlyView.
This review bridges practical fast‐charging protocols with fundamental mechanisms of SOC‐dependent structural and compositional changes in electrode materials, kinetic limitations such as polarization and inhomogeneity, and heat generation characteristics shaped by protocol design.
Wenlong Li, Ayrton Yanyachi, Junyi Xia, Saravana Kuppan, Jigang Zhou, Yixian Wang, Yanfei Li, Piero Pianetta, Kejie Zhao, David Mitlin, Ofodike Ezekoye, Jie Xiao, Junmin Wang, Yijin Liu   +13 more
wiley   +1 more source

Virtual patient simulation to enhance medical students' clinical communication and decision-making skills: a pilot study. [PDF]

BMC Med Educ
Dávidovics A, Dávidovics K, Hillebrand P, Rendeki S, Németh T.   +4 more
europepmc   +1 more source

Citizen Engagement for Social and Technological Innovation in Sustainable Energy Systems

Advanced Energy and Sustainability Research, EarlyView.
This study underscores the potential of citizen participation in the energy transition by providing insights to foster citizen‐driven innovation. An analysis of energy communities, one of the most dynamic innovations in the energy sector, reveals that these models can be citizen‐led initiatives regarding their operational and organizational structure ...
Ana Belén Cristóbal, Cristina Sanz‐Cuadrado, Kiane Alves e Silva, Luis Narvarte   +3 more
wiley   +1 more source

Can Infants Perceive and Learn New Information from Extended Reality? [PDF]

Dev Sci
Liu L, Condie B, Sutton J, Saba S, Blackwell A, Humaira F, Shoaib R, Arness D, Trescak T.   +8 more
europepmc   +1 more source

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

Advanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar, Arunkumar Chandrasekhar, Poongundran Selvaprabhu   +2 more
wiley   +1 more source