Results 171 to 180 of about 8,084,029 (292)

Physics-informed neural network framework for predicting drilling-induced delamination in GFRP composites. [PDF]

PLoS One
Arunadevi M, M S S, B R N M, M C G.
europepmc   +1 more source

Biocompatible Conjugated Electrospinning Nanofibrous Membrane With Self‐Powered Piezoelectric Capacity for Accelerated Wound Healing

Advanced Healthcare Materials, EarlyView.
A self‐powered PCL/gelatin‐PVDF‐TrFE/MXene conjugated electrospun membrane integrates biocompatibility with enhanced piezoelectric responsiveness. Mechanical deformation is converted into localized electrical signals that stimulate wound‐repair cells proliferation and migration, promote angiogenesis and tissue remodeling, and accelerate full‐thickness ...
Diandian Li, Ke Wu, Yangyang Lu, Qinglan Xia, Jialong Chen, Yifan Zhang, Zhaoyu Chen, Zhiyuan She, Junjin Jie, Juzi Xia, Muran Zhou, Aimei Zhong   +11 more
wiley   +1 more source

Physics-Informed Neural Network-Enabled Forward Prediction and Inverse Design of Ring Origami. [PDF]

Adv Sci (Weinh)
Ning L, Lu L, Leanza S, Zhao RR.
europepmc   +1 more source

nPINNS: Nonlocal Physics-Informed Neural Networks.

Proposed for presentation at the SIAM Conference on Computational Science and Engineering (CSE21) held March 1 - February 5, 2021., 2021
Goufei Pang, Marta D'Elia, Michael Parks, George Karniadakis   +3 more
openaire   +2 more sources

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Lagrangian Measurements and Physics-Informed Neural Network for Rayleigh-Bénard Flow Reconstruction

International audienceThe aim of this work is to reconstruct the temperature field from Lagrangian measurements in a turbulent Rayleigh-Bénard flow using a Physics Informed Neural Network. First, the spatial concentration of particles in the experimental
Mrini, Soufiane, Bernard, Elian, Sergent, Anne, Lucor, Didier   +3 more
core   +2 more sources

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Fear-driven predator-prey dynamics with prey refuge: analytical framework and physics-informed neural network approach. [PDF]

Front Artif Intell
Ramraj G, Poornima T.
europepmc   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source