Journal of Scientific Computing· 2022Q1· Book chapter
Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
- 2,394citations
- Q1SCImago
- 2022year
Short summary
Physics-Informed Neural Networks (PINNs) integrate model equations (like PDEs) into neural networks, enabling them to solve various differential equations and fit data simultaneously.
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Statistical and Nonlinear PhysicsPhysics and Astronomy