Generalized physics-informed learning through language-wide differentiable programming
Copyright © 2020, for this paper by its authors. Scientific computing is increasingly incorporating the advancements in machine learning to allow for data-driven physics-informed modeling approaches. However, re-targeting existing scientific computing workloads to machine learning frameworks is both...
Main Authors: | Rackauckas, C, Edelman, A, Fischer, K, Innes, M, Saba, E, Shah, VB, Tebbutt, W |
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Other Authors: | Massachusetts Institute of Technology. Department of Mathematics |
Format: | Article |
Language: | English |
Published: |
2021
|
Online Access: | https://hdl.handle.net/1721.1/137320 |
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