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Domain-decoupled Physics-informed Neural Networks with Closed-form
  Gradients for Fast Model Learning of Dynamical Systems

Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical Systems

27 August 2024
Henrik Krauss
Tim-Lukas Habich
Max Bartholdt
Thomas Seel
Moritz Schappler
    PINN
    AI4CE
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Papers citing "Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical Systems"

3 / 3 papers shown
Title
Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control
Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control
Abdelhakim Amer
David Felsager
Yury Brodskiy
Andriy Sarabakha
PINN
AI4CE
56
0
0
28 Apr 2025
RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed
  Neural Network
RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural Network
Sourav Sanyal
Kaushik Roy
PINN
25
22
0
19 Sep 2022
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain
  Decomposition
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
E. Kharazmi
Zhongqiang Zhang
George Karniadakis
117
506
0
11 Mar 2020
1