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

Title
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
Authors
Keywords
Data-driven scientific computing, Machine learning, Predictive modeling, Runge–Kutta methods, Nonlinear dynamics
Journal
JOURNAL OF COMPUTATIONAL PHYSICS
Volume 378, Issue -, Pages 686-707
Publisher
Elsevier BV
Online
2018-11-03
DOI
10.1016/j.jcp.2018.10.045

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