Tunable Complexity Benchmarks for Evaluating Physics-Informed Neural Networks on Coupled Ordinary Differential Equations

no code implementations • 14 Oct 2022 • Alexander New, Benjamin Eng, Andrea C. Timm, Andrew S. Gearhart

In this work, we assess the ability of physics-informed neural networks (PINNs) to solve increasingly-complex coupled ordinary differential equations (ODEs).