A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...
Abstract: Physics-informed neural networks (PINNs) offer a flexible framework for solving differential equations using physical constraints and data. This study focuses on second-order ...
Abstract: In this study, we propose a power device configuration that maximizes the inverter efficiency of a pulse-width-controlled high-power wireless power transfer system. Silicon carbide ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback