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Source record · 2019

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Maziar Raissi, Paris Perdikaris and George Em Karniadakis

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Type
Academic methods research
Publication
Journal of Computational Physics
Version used
Published article; linked access version identified below
Source date
1 February 2019
Recorded in Atlas
23 October 2026
License
Original source rights apply; Atlas summaries and diagrams are original.
DOI
10.1016/j.jcp.2018.10.045

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Supports this claim:Physical laws can shape the training objective