Respecting causality for training physics-informed neural networks
Applied Mathematics (United States) · University of Pennsylvania
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Abstract
No abstract available for this paper.
Citation impact
247
total citations
- FWCI
- 63.22
- Percentile
- 100%
- References
- 72
Citations per year
Authors
3Topics & keywords
Topics
Keywords
- Causality (physics)
- Simple (philosophy)
- Lorenz system
- Computer science
- Dynamical systems theory
- Chaotic
- Convergence (economics)
- Physical system
UN Sustainable Development Goals
- Industry, innovation and infrastructure
No related works found for this paper.
Funding
- UDU.S. Department of EnergyAward: DE-SC0019116
- ARAdvanced Research Projects Agency - Energy
- UAU.S. Air ForceAwards: AFOSR FA9550-20-1-0060, FA9550
- ARAdvanced Research Projects Agency
- ASAdvanced Scientific Computing Research
- AFAir Force Office of Scientific ResearchAwards: FA9550-, FA9550-20-1, FA9550-20, FA9550, FA9550-20-1-0060