Results 131 to 140 of about 6,478,030 (244)
Configuration‐Encoded Cell Alignment by Light‐Gated Silicon Photovoltaic Microcell Arrays
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
Full-Gradient Representation for Neural Network Visualization
NeurIPS ...
Srinivas, Suraj, Fleuret, Francois
openaire +4 more sources
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
A neural network algorithm for heat conduction interface problems
This paper discusses a single hidden neural network algorithm for the heat conduction interface problems. The proposed algorithm sets the approximate solution to contain a neural network function and to meet the initial/boundary conditions and the ...
Wang Zhu-Chu, Xie Xiao-Ping
doaj
Material Coupling in Hybrid Neuromorphic Devices: From Fundamentals to System‐Level Applications
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
Path-Averaged Gradient Approximation Algorithms for Deep Neural Network Training
We explore previously unreported properties and practical utility of integrating gradients along parameter trajectories for training deep neural networks. Unlike standard methods that rely on instantaneous gradients, this approach averages gradients over
Rafal Wolniak +2 more
doaj +1 more source
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
NEW TECHNIQUES APPLIED IN ECONOMICS. ARTIFICIAL NEURAL NETWORK [PDF]
The present paper has the objective to inform the public regarding the use of new techniques for the modeling, simulate and forecast of system from different field of activity.
Constantin Ilie, Margareta Udrescu
core
This research explores the use of machine learning to predict the mechanical properties of cementitious materials enhanced with carbon nanotubes (CNTs).
Nader M. Okasha +5 more
doaj +1 more source
The role of viscoelasticity in the invasion of heterogeneous glioblastoma stem cells (GSCs) was investigated with GSCs categorized into subgroups based on molecular profile, as Reactive, Invasive, or Constructive using viscoelastic biomimetic hyaluronan‐oxime hydrogels.
Nicole J. Blaine +4 more
wiley +1 more source

