A critical evaluation of using physics-informed neural networks for simulating voltammetry: strengths, weaknesses and best practices

<p>The recent explosion of applications of physics-informed neural networks (PINNs) as a discretization-free tool to solve partial differential equations (PDEs) shows great potential for applications in electroanalytical simulations. However, a simple, naive PINN approach may fail to make anal...

詳細記述

書誌詳細
主要な著者: Chen, H, Batchelor-McAuley, C, Kätelhön, E, Elliott, J, Compton, RG
フォーマット: Journal article
言語:English
出版事項: Elsevier 2022