Results 141 to 150 of about 413,917 (262)

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

Enhancing Maturation of Human Neuromuscular Organoids via Electrical Stimulation

Advanced Science, EarlyView.
A framework for on‐demand and non‐invasive exposure of human neuromuscular organoids (NMOs) to electrical stimuli is established to promote their maturation. The robustness and effectiveness of different stimulation regimes are evaluated via thorough characterization of organoid tissue structure and contraction capacity. Chronic electrical stimulation,
Chrysanthi‐Maria Moysidou, Inês Afonso Martins, Ismail Amr El‐Shimy, Iacopo Bicci, Donatella Cea, Christina Bukas, Isra Mekki, Mara‐Camelia Rusu, Aylin Nebol, Ines Lahmann, Marie Piraud, Enrico Klotzsch, Mina Gouti   +12 more
wiley   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

The Modern Ages

Journal of Home Economics of Japan, 1986
openaire   +1 more source

Functional Disorder at the Neural Interface: How Disordered Nanostructures Promote Proper Growth and Differentiation in In Vitro Neural Cultures

Advanced Science, EarlyView.
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita, E. Palmieri, I. Lucarini, L. Montaina, L. Maiolo   +4 more
wiley   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Large‐Scale Growth of Self‐Poled Ferroelectric Rashba Semiconductor α‐GeTe(111) Thin Films: A Crucial Step Towards Future CMOS‐Compatible Ferroelectric Spintronic Devices

Advanced Science, EarlyView.
Ferroelectric Rashba semiconductors promise ultralow‐power devices but lack industry‐quality films. This work demonstrates CMOS‐compatible fabrication of high‐quality α‐GeTe(111) films via magnetron sputtering, enabled by a 5 nm Sb2Te3 seed layer. Structural and ferroelectric analyses show robust, switchable polarization comparable to MBE films, paving
Jules Lagrave, Nicolas Bernier, Thomas Jalabert, Yoann Brûlé, Damien Térébénec, Pierre Meilleur, Hervé Roussel, Jean‐Baptiste Dory, Oussama J. Mouawad, Thibault Chommaux, Cristian Mocuta, Dominique Thiaudière, Laurent Vila, Françoise Hippert, Pierre Noé   +14 more
wiley   +1 more source

An Energy Autonomous Microneedle Array‐Based Sensing System for Continuous Biomarker Monitoring

Advanced Science, EarlyView.
This work presents an innovative self‐powered wearable biosensor system for real‐time monitoring of multiple biomarkers in interstitial fluid. The device integrates stainless steel‐based minimally invasive microneedles with ion‐selective membranes, enabling simultaneous Na+, K+, Ca2+, pH, and glucose detection.
Arnab Pal, Kai‐Po Fan, Sheng‐Chun Hung, Jaba Roy Chowdhury, Jun‐Hsun Chung, Meenakshi Ray, Hsiang‐Yun Hsu, Fu‐Cheng Kao, Kuei‐Lin Liu, Zong‐Hong Lin   +9 more
wiley   +1 more source