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Will Snyder

1 paper hereh-index 16 citations2 works total

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  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • math.NA1

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most citedDomain decomposition-based coupling of physics-informed neural networks via the Schwarz alternating method

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

math.NA2023★ 2 cited

Domain decomposition-based coupling of physics-informed neural networks via the Schwarz alternating method

Will Snyder, Irina Tezaur, Christopher Wentland

Physics-informed neural networks (PINNs) are appealing data-driven tools for solving and inferring solutions to nonlinear partial differential equations (PDEs). Unlike traditional…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.