Results 111 to 120 of about 15,175 (257)

Applied Physics-Informed Neural Networks for Spacecraft Magnetic Testing

Aerospace
Artificial intelligence and machine learning techniques can be used for performing magnetic testing on spacecraft that has historically been difficult and risky to perform.
Andrew Mentges, Bharat Rawal
doaj   +1 more source

Polarization‐Dependent Synaptic‐Like Electro‐Optical Response in Ferroelectric Nematic Liquid Crystals

Advanced Functional Materials, EarlyView.
Ferroelectric nematic liquid crystals (FNLCs) offer fast, tunable polarization and low‐voltage operation but suffer from poor polarization retention at zero field. Semiconductor‐modified FNLCs enhance polarization retention and exhibit short‐ and long‐term electro‐optical responses, while also supporting spike‐type signal integrations.
Kutay Sagdic, Weiming Yao, Danqing Liu
wiley   +1 more source

Bio‐Derived Polyelectrolyte Additive–Induced Interfacial Ion‐Diffusion Barriers for Nonvolatile Organic Artificial Synapses

Advanced Functional Materials, EarlyView.
Sodium alginate regulates interfacial ion transport and retention in electrolyte‐gated synaptic transistors. The carboxylate‐rich polymeric network forms a dynamic interfacial ion‐diffusion barrier that facilitates ion injection during programming while suppressing ion back‐diffusion, thereby stabilizing the electrochemically doped channel state.
Chaeyeon Han, Donghwa Lee, Hyeonse Kim, Hyoik Jang, Sein Chung, Geun Yeol Bae, Eunho Lee   +6 more
wiley   +1 more source

Interface‐Defect Synergy Engineering of Amorphous Ga2O3 for Voltage‐Tunable Dual‐Mode Optoelectronic Devices: Self‐Powered Imaging and Neuromorphic Vision

Advanced Functional Materials, EarlyView.
An interface‐defect co‐engineered strategy enables bias‐programmable integration of self‐powered photodetection and low‐power synaptic functionalities within a single‐material amorphous Ga2O3 device. This design achieves reversible switching via voltage modulation, supporting high‐contrast imaging and visual memory, and demonstrates a neuromorphic ...
Wanjun Li, Aijiang Yan, Lijuan Ye, Xuanyu Shan, Chunyan Liu, Hong Zhang, Shuren Zhou, Honglin Li, Di Pang, Yan Tang, Guoping Qin, Zhongqiang Wang, Peng Yu, Zhenxiang Cheng   +13 more
wiley   +1 more source

Computation of waveguide eigenmodes by physics-informed neural networks

Machine Learning. Engineering
Physics-informed neural networks (PINNs) have emerged as powerful deep-learning frameworks for solving partial differential equations by directly embedding physical laws into the learning process.
Geetanjli, Kirankumar R Hiremath
doaj   +1 more source

Polymer Substrates for Flexible Sensors: Advances and Contributions to Smart Agriculture

Advanced Functional Materials, EarlyView.
This review comprehensively summarizes recent advances in polymer‐based flexible sensors for smart agriculture, focusing on polymer substrate design, interface engineering, and applications in soil, plant, animal, aquaculture, and post‐harvest monitoring.
Yihui Li, Zhangzheng Xiao, Zheng Yan, Adnan Raza Altaf, Qun Song, Dingding Yao, Afshan Sohail, Yixin Wang, Wenxiu Ma, Shanjun Li, Yaohui Chen, Peiwen Liu, Kai Zhang   +12 more
wiley   +1 more source

Physics-Informed Neural Networks for Heat Pump Load Prediction

Energies
Heat pumps are promising solutions for managing the increasing heating demand of residential houses, reducing the environmental impact when used with renewable energy.
Viorica Rozina Chifu, Tudor Cioara, Cristina Bianca Pop, Ionut Anghel, Andrei Pelle   +4 more
doaj   +1 more source

Mimetic Core‐Sheath Silk Sutures with Superior‐Strength for Pain Management, Anti‐Infection and Wound Healing

Advanced Healthcare Materials, EarlyView.
ABSTRACT Sutures are crucial for tissue approximation and wound healing. Besides their strength limits requirement, they often fail to effectively address complications like infection and pain. Inspired by natural silk's “core‐sheath” structure, our suture features a wet‐spun core of n zinc‐fortified silk fibroin fibers (RSF‐Zn2+) after drawing with ...
Yi Peng, Kai Ma, Xiaoxiao Li, Xiaozhuo Wu, Yuezhou Zhang, Ying Luo, Chenxing Zhang, Wen Zhong, Chunjing Yu, Lin Lu, Malcolm Xing, Guozhong Lyu   +11 more
wiley   +1 more source

Unraveling particle dark matter with Physics-Informed Neural Networks

Physics Letters B
We parametrically solve the Boltzmann equations (BEs) governing freeze-in dark matter (DM) in alternative cosmologies with Physics-Informed Neural Networks (PINNs), a mesh-free method.
M.P. Bento, H.B. Câmara, J.F. Seabra
doaj   +1 more source

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

Advanced Healthcare Materials, EarlyView.
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz, Manuel P. Kainz, Niklas Haider, Theresa Rienmüller, Kerstin Lenk, Rupert Kargl, Michele Terzano, Gerhard Sommer, Gerhard A. Holzapfel, Julia Fuchs   +9 more
wiley   +1 more source