"Tunable Complexity Benchmarks for Evaluating Physics-Informed Neural ..."

Alexander New et al. (2022)

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DOI: 10.48550/ARXIV.2210.07880

access: open

type: Informal or Other Publication

metadata version: 2022-10-19

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Alexander New, Benjamin Eng, Andrea C. Timm, Andrew S. Gearhart:
Tunable Complexity Benchmarks for Evaluating Physics-Informed Neural Networks on Coupled Ordinary Differential Equations. CoRR abs/2210.07880 (2022)

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