"Tunable complexity benchmarks for evaluating physics-informed neural ..."

Alexander New et al. (2023)

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DOI: 10.1109/CISS56502.2023.10089728

access: closed

type: Conference or Workshop Paper

metadata version: 2023-04-22

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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. CISS 2023: 1-8

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