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...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Jezik: | English |
| Izdano: |
Elsevier
2022
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