Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
Authors
Maziar Raissi, Paris G. Perdikaris, George Em Karniadakis
Journal
Journal of Computational Physics
Year Published
2018
Publisher
Elsevier BV
Citations
20083 citations
Type
Article
Language
EN
Topics & Concepts
Abstract
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations - Full text available via OpenAlex
Data provided by OpenAlex - An open catalog of the world's scholarly papers, researchers, and institutions