Abstract
Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 12 February 2020Accepted: 25 May 2021Published online: 09 September 2021Keywordsdeep learning, differential equations, optimization, stiff dynamics, computational physicsAMS Subject Headings68T99, 65M99, 68U20Publication DataISSN (print): 1064-8275ISSN (online): 1095-7197Publisher: Society for Industrial and Applied MathematicsCODEN: sjoce3
Keywords
Artificial neural networkBalanced flowFlow (mathematics)Subject (documents)Applied mathematicsComputer scienceMathematicsCalculus (dental)Mathematics educationArtificial intelligenceMathematical analysisGeometryLibrary science
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Publication Info
- Year
- 2021
- Type
- article
- Volume
- 43
- Issue
- 5
- Pages
- A3055-A3081
- Citations
- 1166
- Access
- Closed
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Cite This
Sifan Wang,
Yujun Teng,
Paris Perdikaris
(2021).
Understanding and Mitigating Gradient Flow Pathologies in Physics-Informed Neural Networks.
SIAM Journal on Scientific Computing
, 43
(5)
, A3055-A3081.
https://doi.org/10.1137/20m1318043
Identifiers
- DOI
- 10.1137/20m1318043