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Physics-Informed Boundary Integral Networks (PIBI-Nets): A Data-Driven
  Approach for Solving Partial Differential Equations

Physics-Informed Boundary Integral Networks (PIBI-Nets): A Data-Driven Approach for Solving Partial Differential Equations

18 August 2023
Monika Nagy-Huber
Volker Roth
    AI4CE
    PINN
ArXivPDFHTML

Papers citing "Physics-Informed Boundary Integral Networks (PIBI-Nets): A Data-Driven Approach for Solving Partial Differential Equations"

2 / 2 papers shown
Title
Using neural networks to solve the 2D Poisson equation for electric
  field computation in plasma fluid simulations
Using neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulations
Li Cheng
Ekhi Ajuria Illarramendi
Guillaume Bogopolsky
M. Bauerheim
B. Cuenot
45
19
0
27 Sep 2021
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and
  Inverse PDE Problems with Noisy Data
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
Liu Yang
Xuhui Meng
George Karniadakis
PINN
183
759
0
13 Mar 2020
1