Results 121 to 130 of about 16,533 (261)

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

SDD-PINN: Physics-informed neural network for single droplet drying

Digital Chemical Engineering
Single droplet drying, a fundamental process in spray drying, presents a challenging nonlinear moving boundary diffusion problem. This process is described by a parabolic partial differential equation in a shrinking spherical domain with a Robin mass ...
Narjes Malekjani, Andreas Bück, Abdolreza Kharaghani, Evangelos Tsotsas   +3 more
doaj   +1 more source

Adaptive Physics-informed Neural Networks: A Survey

CoRR
https://openreview.net/forum?id ...
Edgar Torres, Jonathan Schiefer, Mathias Niepert   +2 more
openaire   +2 more sources

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

Physics-informed neural network solves minimal surfaces in curved spacetime

Machine Learning: Science and Technology
We develop a flexible framework based on physics-informed neural networks for solving boundary value problems involving minimal surfaces in curved spacetimes, with a particular emphasis on singularities and moving boundaries.
Koji Hashimoto, Koichi Kyo, Masaki Murata, Gakuto Ogiwara, Norihiro Tanahashi   +4 more
doaj   +1 more source

A characteristic oriented probabilistic stability assessment method based on physics-informed neural network for stochastic power system

International Journal of Electrical Power & Energy Systems
The significant stochasticity introduced by renewable energy and flexible loads challenges traditional deterministic stability methods in power system. To address the stability challenges posed by stochastic disturbances, by integrating physics-informed ...
Jingxian Li, Hongli Zhang, Cong Wang, Ping Ma, Yue Meng, Handi Yang   +5 more
doaj   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

MmPiFNN: A multi-mode physics-informed fuzzy neural network for passive recognition of surface ships by underwater equipment using ship radiated noise signals

Defence Technology
Ship radiated noise (SRN) is a key acoustic cue for underwater platforms such as submarines to detect, identify, and track surface vessels in long-range sonar confrontation scenarios. Accurate classification of SRN signals is thus critical for underwater
Feng Liu, Zipeng Li, Kunde Yang, Fuhu Chen, Junru Yu   +4 more
doaj   +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

Physical-informed neural network in modeling and control of a servo mechanical rotor system

Results in Engineering
In this paper, a neural network based system identification method is proposed to a class of nonlinear 2nd order mechanical rotor system with unmeasurable internal dynamics.
Yi-Ho Chen, Chao-Chung Peng
doaj   +1 more source