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

标题
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
作者
关键词
Data-driven scientific computing, Machine learning, Predictive modeling, Runge–Kutta methods, Nonlinear dynamics
出版物
JOURNAL OF COMPUTATIONAL PHYSICS
Volume 378, Issue -, Pages 686-707
出版商
Elsevier BV
发表日期
2018-11-03
DOI
10.1016/j.jcp.2018.10.045

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