Abstract: This work proposes a physics-constrained neural network (PCNN) method for automated and physically consistent compact modeling of semiconductor devices. Traditional ANN-based approaches ...
A research team from the Institute of Modern Physics of the Chinese Academy of Sciences and Lanzhou University has obtained ...
Physics-Constrained Neural Network-Based Compact Modeling of Displacement Damage for AlGaN/GaN HEMTs
Abstract: This article proposes a physics-constrained neural network (PCNN) framework to model displacement damage-induced degradation in AlGaN/GaN high-electron-mobility transistors (HEMTs). The ...
Background: Stroke frequently causes upper limb dysfunction, impairing daily activities and quality of life. This study evaluates seven repetitive transcranial magnetic stimulation and transcranial ...
In the context of the rapid development of computer hardware and the continuous improvement of the artificial intelligence and deep learning theory, aiming at the traditional numerical solution method ...
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