Results 121 to 130 of about 6,454,505 (250)
GeS as an Emerging OTS Material: Atomic Structure and Modeling of ON/OFF Switching
Advanced Functional Materials, EarlyView.The structural puzzle of glassy GeS, an advanced memory‐selector material, has finally been disentangled, revealing a patchwork of mixed tetrahedral and trigonal species. Under a high electric field, over‐ and under‐coordinated Ge and S defects, together with three‐membered rings, form an interconnected network associated with localized and extended ...
Andrey Tverjanovich +13 more
wiley +1 more source
Convergence of Physics-Informed Neural Networks for Fully Nonlinear PDE\u27s
The present work is focused on exploring convergence of Physics-informed Neural Networks (PINNs) when applied to a specific class of second-order fully nonlinear Partial Differential Equations (PDEs).
Arakelyan, Avetik, Barkhudaryan, Rafayel
core +1 more source
Advanced Functional Materials, EarlyView.Neuromorphic devices for extreme environments are interpreted through the physical states that store and process information. Radiation, temperature extremes, and vacuum can perturb vacancies, filaments, trapped charges, polarization, interfaces, and readout signals.
Taehyun Park +7 more
wiley +1 more source
Solving forced KdV equation using physics-informed neural networks
Geoscience LettersPhysics-informed neural networks (PINNs) are applied to solve forced-KdV (fKdV) equations and to assess their capability for nonlinear wave dynamics under external forcing. We first validate the solver in analytically tractable forced-KdV benchmarks with
Lei Han +4 more
doaj +1 more source
Configuration‐Encoded Cell Alignment by Light‐Gated Silicon Photovoltaic Microcell Arrays
Advanced Functional Materials, EarlyView.Light‐gated silicon photovoltaic microcells convert pulsed illumination into localized electrical cues. Arranging otherwise similar microcells into four‐lobed, six‐lobed, or circular patterns directs fibroblasts into corresponding local arrangements without wired stimulation.
Yifan Tao +7 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee +9 more
wiley +1 more source
Material Coupling in Hybrid Neuromorphic Devices: From Fundamentals to System‐Level Applications
Advanced Functional Materials, EarlyView.Hybrid neuromorphic devices utilize heterointerfaces between emerging semiconductors, where charge transfer and trapping, ion or defect modulation, and photogating are translated into synaptic functions. This paper discusses coupling strategies that tailor interfacial electronic and ionic properties in organic semiconductors, metal oxides, two ...
Minsu So +5 more
wiley +1 more source
Extremization to fine tune physics informed neural networks for solving boundary value problems
Extremization to fine tune physics informed neural networks for solving boundary value ...
Abhiram Anand Thiruthummal (18972544) +2 more
core
Advanced Healthcare Materials, EarlyView.Single‐cell and spatially resolved impedance mapping using a high‐density CMOS‐MEA platform enables non‐invasive monitoring of osteoarthritis‐associated chondrocyte dynamics. Continuous label‐free measurements reveal heterogeneous remodeling behaviors, including proliferation, migration, and phenotypic transitions, establishing a powerful approach for ...
Neha Deshpande +9 more
wiley +1 more source
Training of physics-informed neural networks: a multi-criterion viewpoint
International audiencePartial differential equations (PDEs) are usually solved by numerical methods requiring specific grids and discretisation schemes.
Duvigneau, Régis +2 more
core