Results 161 to 170 of about 13,405 (259)

Text Mining of CVD Synthesis Recipes for 2D Materials

Advanced Materials, EarlyView.
A lightweight, multi‐stage natural language processing framework utilizes fine‐tuned BERT models to extract chemical vapor deposition synthesis knowledge from diverse 2D materials literature. The domain‐adapted workflow integrates classification, named entity recognition, and extractive question answering to systematically retrieve categorical and ...
Ang‐Yu Lu, Richard A. Chen, Aijia Yao, Meng‐Chi Chen, Ji‐Hoon Park, Tianyi Zhang, Xudong Zheng, Nannan Mao, Jiangtao Wang, Zhien Wang, Tomás Palacios, Jing Kong   +11 more
wiley   +1 more source

Unsupervised spectra information extraction using physics-informed neural networks in the presence of non-linearities and multi-agent problems. [PDF]

Sci Rep
Puleio A, Gaudio P.
europepmc   +1 more source

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

Analytical and numerical solutions of MABC fractional advection dispersion models by utilizing the modified physics informed neural networks with impacts of fractional derivative. [PDF]

Sci Rep
Az-Zo'bi EA, Hussain AS, Iqbal M, Aljohani A, Tashtoush MA, Alsubaie NE, Al-Hamarneh FKA, Nazar NM, Baleanu D.   +8 more
europepmc   +1 more source

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho, Youngmin Han, Won Woo Lee, Youngwoo Yoo, Kannan Udaya Mohanan, Chang‐Hyun Kim, Junhwan Choi, Young‐Joon Kim, Wonjun Shin, Hocheon Yoo   +9 more
wiley   +1 more source

WF-PINNs: solving forward and inverse problems of burgers equation with steep gradients using weak-form physics-informed neural networks. [PDF]

Sci Rep
Wang X, Yi S, Gu H, Xu J, Xu W.
europepmc   +1 more source

Preconditioning for Physics-Informed Neural Networks

Physics-informed neural networks (PINNs) have shown promise in solving various partial differential equations (PDEs). However, training pathologies have negatively affected the convergence and prediction accuracy of PINNs, which further limits their practical applications.
Liu, Songming, Su, Chang, Yao, Jiachen, Hao, Zhongkai, Su, Hang, Wu, Youjia, Zhu, Jun   +6 more
openaire   +1 more source

Intelligent Acousto‐Electrical Metamaterials (IAM) for Sound Source Detection

Advanced Materials, EarlyView.
Our proposed metamaterial concept enables sound source detection using a single material, in contrast to conventional arrays that require dozens or even hundreds of transducers. We show that the coupled acoustic–vibrational–electrical responses in piezoelectric metamaterials give rise to topology‐governed charge transport, producing distinct voltage ...
Victor Couëdel, Haotian Lu, Jiayan Zhang, Desheng Yao, Ananya Bhardwaj, Ramiro Contreras, Karim Sabra, Xiaoyu (Rayne) Zheng   +7 more
wiley   +1 more source

Trainable embedding quantum physics informed neural networks for solving nonlinear PDEs. [PDF]

Sci Rep
Berger S, Hosters N, Möller M.
europepmc   +1 more source

Radiation‐Resistant Aluminum Alloy for Space Missions in the Extreme Environment of the Solar System

Advanced Materials, EarlyView.
A novel ultrafine‐grained aluminum crossover alloy exhibits unprecedented radiation resistance and mechanical stability under extreme irradiation doses up to 100 dpa. The exceptional resilience arises from thermodynamically stable T‐phase precipitates, enabling lightweight structural materials for next‐generation spacecraft and extraterrestrial ...
Patrick D. Willenshofer, Matheus A. Tunes, Hi T. Vo, Lukas Stemper, Markus Alfreider, Oliver Renk, Graeme Greaves, Daniel Kiener, Peter J. Uggowitzer, Stefan Pogatscher   +9 more
wiley   +1 more source