Extended physics-informed neural networks (XPINNs): A generalized space-time domain decomposition based deep learning framework for nonlinear partial differential equations

被引：0

作者：

Jagtap, Ameya D. ^{[1
]}

Karniadakis, George Em ^{[1
]}

机构：

[1] Division of Applied Mathematics, Brown University, 182 George Street, Providence,RI,02912, United States

来源：

CEUR Workshop Proceedings | 2021年 / 2964卷

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摘要：

Creative Commons - Decomposition approach - Domain decompositions - Learning frameworks - Neural-networks - Nonlinear partial differential equations - Space and time - Space-time domain - Subdomain - Time-domain decomposition

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