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Physics-informed attention-based neural network for solving non-linear
  partial differential equations

Physics-informed attention-based neural network for solving non-linear partial differential equations

17 May 2021
R. Torrado
Pablo Ruiz
L. Cueto‐Felgueroso
M. Green
Tyler Friesen
S. Matringe
Julian Togelius
    PINN
ArXivPDFHTML

Papers citing "Physics-informed attention-based neural network for solving non-linear partial differential equations"

4 / 4 papers shown
Title
Robust Biharmonic Skinning Using Geometric Fields
Robust Biharmonic Skinning Using Geometric Fields
Ana Dodik
Vincent Sitzmann
Justin Solomon
Oded Stein
3DH
47
2
0
01 Jun 2024
Physical Activation Functions (PAFs): An Approach for More Efficient
  Induction of Physics into Physics-Informed Neural Networks (PINNs)
Physical Activation Functions (PAFs): An Approach for More Efficient Induction of Physics into Physics-Informed Neural Networks (PINNs)
J. Abbasi
Paal Ostebo Andersen
PINN
AI4CE
25
14
0
29 May 2022
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
761
0
13 Mar 2020
An Energy Approach to the Solution of Partial Differential Equations in
  Computational Mechanics via Machine Learning: Concepts, Implementation and
  Applications
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications
E. Samaniego
C. Anitescu
S. Goswami
Vien Minh Nguyen-Thanh
Hongwei Guo
Khader M. Hamdia
Timon Rabczuk
X. Zhuang
PINN
AI4CE
159
1,344
0
27 Aug 2019
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