SD-PINN: Physics Informed Neural Networks for Spatially Dependent PDES
Author:
Affiliation:
1. University of California,San Diego
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095076.pdf?arnumber=10095076
Reference22 articles.
1. DL-PDE: Deep-Learning Based Data-Driven Discovery of Partial Differential Equations from Discrete and Noisy Data
2. Automated partial differential equation identification
3. Physics-informed neural networks for nonhomogeneous material identification in elasticity imaging;zhang,2020
4. Physics-informed neural networks with unknown measurement noise;pilar,2022
5. Numerical Differentiation of Noisy, Nonsmooth Data
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1. Sound Field Estimation around a Rigid Sphere with Physics-informed Neural Network;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31
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