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Augmented Physics-Informed Neural Networks (APINNs): A gating
  network-based soft domain decomposition methodology

Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology

16 November 2022
Zheyuan Hu
Ameya Dilip Jagtap
George Karniadakis
Kenji Kawaguchi
ArXivPDFHTML

Papers citing "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology"

12 / 12 papers shown
Title
Reliable and Efficient Inverse Analysis using Physics-Informed Neural Networks with Distance Functions and Adaptive Weight Tuning
Reliable and Efficient Inverse Analysis using Physics-Informed Neural Networks with Distance Functions and Adaptive Weight Tuning
Shota Deguchi
Mitsuteru Asai
PINN
AI4CE
81
0
0
25 Apr 2025
State-space models are accurate and efficient neural operators for dynamical systems
State-space models are accurate and efficient neural operators for dynamical systems
Zheyuan Hu
Nazanin Ahmadi Daryakenari
Qianli Shen
Kenji Kawaguchi
George Karniadakis
Mamba
AI4CE
72
13
0
28 Jan 2025
Improved physics-informed neural network in mitigating gradient related
  failures
Improved physics-informed neural network in mitigating gradient related failures
Pancheng Niu
Yongming Chen
Jun Guo
Yuqian Zhou
Minfu Feng
Yanchao Shi
PINN
AI4CE
26
0
0
28 Jul 2024
Initialization-enhanced Physics-Informed Neural Network with Domain
  Decomposition (IDPINN)
Initialization-enhanced Physics-Informed Neural Network with Domain Decomposition (IDPINN)
Chenhao Si
Ming Yan
AI4CE
PINN
41
3
0
05 Jun 2024
Unveiling the optimization process of Physics Informed Neural Networks:
  How accurate and competitive can PINNs be?
Unveiling the optimization process of Physics Informed Neural Networks: How accurate and competitive can PINNs be?
Jorge F. Urbán
P. Stefanou
José A. Pons
PINN
45
6
0
07 May 2024
The Challenges of the Nonlinear Regime for Physics-Informed Neural
  Networks
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
Andrea Bonfanti
Giuseppe Bruno
Cristina Cipriani
32
9
0
06 Feb 2024
Physics-informed neural network for modeling dynamic linear elasticity
Physics-informed neural network for modeling dynamic linear elasticity
Vijay Kag
Venkatesh Gopinath
PINN
9
1
0
23 Dec 2023
Machine learning and domain decomposition methods -- a survey
Machine learning and domain decomposition methods -- a survey
A. Klawonn
M. Lanser
J. Weber
AI4CE
24
7
0
21 Dec 2023
Learning Interface Conditions in Domain Decomposition Solvers
Learning Interface Conditions in Domain Decomposition Solvers
Ali Taghibakhshi
Nicolas Nytko
Tareq Uz Zaman
S. MacLachlan
Luke N. Olson
Matthew West
AI4CE
38
11
0
19 May 2022
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable
  domain decomposition approach for solving differential equations
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
Benjamin Moseley
Andrew Markham
T. Nissen‐Meyer
PINN
48
210
0
16 Jul 2021
Parallel Physics-Informed Neural Networks via Domain Decomposition
Parallel Physics-Informed Neural Networks via Domain Decomposition
K. Shukla
Ameya Dilip Jagtap
George Karniadakis
PINN
101
274
0
20 Apr 2021
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
128
509
0
11 Mar 2020
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