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Self-Adaptive Physics-Informed Neural Networks using a Soft Attention
  Mechanism
v1v2v3v4v5 (latest)

Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism

7 September 2020
L. McClenny
U. Braga-Neto
    PINN
ArXiv (abs)PDFHTML

Papers citing "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism"

50 / 186 papers shown
RRaPINNs: Residual Risk-Aware Physics Informed Neural Networks
RRaPINNs: Residual Risk-Aware Physics Informed Neural Networks
Ange-Clement Akazan
Issa Karambal
Jean Medard Ngnotchouye
Abebe Geletu Selassie. W
AI4CE
422
0
0
23 Nov 2025
Self-adaptive weighting and sampling for physics-informed neural networks
Self-adaptive weighting and sampling for physics-informed neural networks
Wenqian Chen
Amanda A. Howard
P. Stinis
173
3
0
07 Nov 2025
Dynamic Reconstruction of Ultrasound-Derived Flow Fields With Physics-Informed Neural Fields
Dynamic Reconstruction of Ultrasound-Derived Flow Fields With Physics-Informed Neural Fields
Viraj Patel
Lisa Kreusser
Katharine Fraser
OODAI4CE
229
1
0
03 Nov 2025
Modeling Adoptive Cell Therapy in Bladder Cancer from Sparse Biological Data using PINNs
Modeling Adoptive Cell Therapy in Bladder Cancer from Sparse Biological Data using PINNs
Kayode Olumoyin
Katarzyna Rejniak
PINNAI4CE
168
0
0
15 Oct 2025
Can Data-Driven Dynamics Reveal Hidden Physics? There Is A Need for Interpretable Neural Operators
Can Data-Driven Dynamics Reveal Hidden Physics? There Is A Need for Interpretable Neural Operators
Wenhan Gao
Jian Luo
Fang Wan
Ruichen Xu
Xiang Liu
Haipeng Xing
Yi Liu
AI4CE
178
1
0
03 Oct 2025
Breaking the Precision Ceiling in Physics-Informed Neural Networks: A Hybrid Fourier-Neural Architecture for Ultra-High Accuracy
Breaking the Precision Ceiling in Physics-Informed Neural Networks: A Hybrid Fourier-Neural Architecture for Ultra-High Accuracy
Wei Shan Lee
Chi Kiu Althina Chau
Kei Chon Sio
Kam Ian Leong
152
0
0
28 Jul 2025
Low-rank adaptive physics-informed HyperDeepONets for solving differential equations
Low-rank adaptive physics-informed HyperDeepONets for solving differential equations
Etienne Zeudong
E. Cardoso-Bihlo
Alex Bihlo
AI4CE
269
1
0
24 Jul 2025
Neural Functions for Learning Periodic Signal
Neural Functions for Learning Periodic SignalInternational Conference on Learning Representations (ICLR), 2025
Woojin Cho
Minju Jo
Kookjin Lee
Noseong Park
316
2
0
11 Jun 2025
Learning Fluid-Structure Interaction with Physics-Informed Machine Learning and Immersed Boundary Methods
Learning Fluid-Structure Interaction with Physics-Informed Machine Learning and Immersed Boundary Methods
Afrah Farea
Saiful Khan
Reza Daryani
Emre Cenk Ersan
Mustafa Serdar Celebi
AI4CE
421
1
0
24 May 2025
Dual-Balancing for Physics-Informed Neural Networks
Dual-Balancing for Physics-Informed Neural NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Chenhong Zhou
Jie Chen
Zaifeng Yang
Ching Eng Png
PINNAI4CE
453
7
0
16 May 2025
Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method
Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force methodComputer Methods in Applied Mechanics and Engineering (CMAME), 2025
Conor Rowan
K. Maute
Alireza Doostan
AI4CE
260
3
0
08 May 2025
Anant-Net: Breaking the Curse of Dimensionality with Scalable and Interpretable Neural Surrogate for High-Dimensional PDEs
Anant-Net: Breaking the Curse of Dimensionality with Scalable and Interpretable Neural Surrogate for High-Dimensional PDEsComputer Methods in Applied Mechanics and Engineering (CMAME), 2025
Sidharth S. Menon
Ameya D. Jagtap
PINN
939
10
0
06 May 2025
Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers
Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers
Miriam Cobo
David Corral Fontecha
Wilson Silva
Lara Lloret Iglesias
OODMedImAI4CE
287
1
0
28 Apr 2025
Reliable and efficient inverse analysis using physics-informed neural networks with normalized distance functions and adaptive weight tuning
Reliable and efficient inverse analysis using physics-informed neural networks with normalized distance functions and adaptive weight tuning
Shota Deguchi
Mitsuteru Asai
PINNAI4CE
676
0
0
25 Apr 2025
BO-SA-PINNs: Self-adaptive physics-informed neural networks based on Bayesian optimization for automatically designing PDE solvers
BO-SA-PINNs: Self-adaptive physics-informed neural networks based on Bayesian optimization for automatically designing PDE solvers
Rui Zhang
Liang Li
Stéphane Lanteri
Hao Kang
Jiaqi Li
280
1
0
14 Apr 2025
PINNverse: Accurate parameter estimation in differential equations from noisy data with constrained physics-informed neural networks
PINNverse: Accurate parameter estimation in differential equations from noisy data with constrained physics-informed neural networks
Marius Almanstötter
Roman Vetter
Dagmar Iber
PINN
369
4
0
07 Apr 2025
Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble
Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble
Zongren Zou
Zhicheng Wang
George Karniadakis
PINNAI4CE
430
17
0
08 Mar 2025
Physics-Informed Neural Networks for Optimal Vaccination Plan in SIR Epidemic Models
Physics-Informed Neural Networks for Optimal Vaccination Plan in SIR Epidemic Models
Minseok Kim
Yeongjong Kim
Yeoneung Kim
PINN
298
2
0
27 Feb 2025
Unraveling particle dark matter with Physics-Informed Neural Networks
Unraveling particle dark matter with Physics-Informed Neural NetworksPhysics Letters B (Phys. Lett. B), 2025
M.P. Bento
H.B. Câmara
J.F. Seabra
440
3
0
24 Feb 2025
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
Sizhuang He
Ananyae Kumar Bhartari
Bowen Li
P. Perdikaris
PINN
517
48
0
02 Feb 2025
MILP initialization for solving parabolic PDEs with PINNs
MILP initialization for solving parabolic PDEs with PINNs
Sirui Li
Federica Bragone
Matthieu Barreau
Kateryna Morozovska
292
1
0
28 Jan 2025
The Finite Element Neural Network Method: One Dimensional Study
The Finite Element Neural Network Method: One Dimensional Study
Mohammed Abda
Elsa Piollet
Christopher Blake
Frédérick P. Gosselin
412
0
0
21 Jan 2025
Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
Jian Cheng Wong
Abhishek Gupta
Chin Chun Ooi
P. Chiu
Jiao Liu
Yew-Soon Ong
PINNAI4CE
396
0
0
11 Jan 2025
A Digital Twin for Diesel Engines: Operator-infused Physics-Informed Neural Networks with Transfer Learning for Engine Health Monitoring
A Digital Twin for Diesel Engines: Operator-infused Physics-Informed Neural Networks with Transfer Learning for Engine Health Monitoring
Kamaljyoti Nath
Varun V. Kumar
Daniel J. Smith
George Karniadakis
389
0
0
16 Dec 2024
ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning
ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learningInternational Conference on Learning Representations (ICLR), 2024
Nilo Schwencke
Cyril Furtlehner
568
6
0
14 Dec 2024
SPIKANs: Separable Physics-Informed Kolmogorov-Arnold Networks
SPIKANs: Separable Physics-Informed Kolmogorov-Arnold Networks
Ashish S. Nair
Amanda A. Howard
P. Stinis
248
21
0
09 Nov 2024
A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations
A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations
Shu Liu
Stanley Osher
Wuchen Li
393
3
0
09 Nov 2024
ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification
ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification
Siva Viknesh
Younes Tatari
Chase Christenson
Amirhossein Arzani
503
14
0
21 Oct 2024
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine
  Learning
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning
Juan Diego Toscano
Vivek Oommen
Alan John Varghese
Zongren Zou
Nazanin Ahmadi Daryakenari
Chenxi Wu
George Karniadakis
PINNAI4CE
331
160
0
17 Oct 2024
Federated scientific machine learning for approximating functions and
  solving differential equations with data heterogeneity
Federated scientific machine learning for approximating functions and solving differential equations with data heterogeneity
Handi Zhang
Langchen Liu
Lu Lu
FedML
268
9
0
17 Oct 2024
Enhanced physics-informed neural networks (PINNs) for high-order power
  grid dynamics
Enhanced physics-informed neural networks (PINNs) for high-order power grid dynamics
Vineet Jagadeesan Nair
PINN
241
1
0
10 Oct 2024
Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases
Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases
Madison Cooley
Varun Shankar
Robert M. Kirby
Shandian Zhe
388
7
0
04 Oct 2024
HyResPINNs: A Hybrid Residual Physics-Informed Neural Network Architecture Designed to Balance Expressiveness and Trainability
HyResPINNs: A Hybrid Residual Physics-Informed Neural Network Architecture Designed to Balance Expressiveness and Trainability
Madison Cooley
Robert M. Kirby
Shandian Zhe
Varun Shankar
PINNAI4CE
309
0
0
04 Oct 2024
ASPINN: An asymptotic strategy for solving singularly perturbed
  differential equations
ASPINN: An asymptotic strategy for solving singularly perturbed differential equations
Sen Wang
Peizhi Zhao
Tao Song
384
2
0
20 Sep 2024
CMINNs: Compartment Model Informed Neural Networks -- Unlocking Drug
  Dynamics
CMINNs: Compartment Model Informed Neural Networks -- Unlocking Drug Dynamics
Nazanin Ahmadi Daryakenari
Shupeng Wang
George Karniadakis
860
19
0
19 Sep 2024
Physics-Informed Neural Networks and Extensions
Physics-Informed Neural Networks and Extensions
Maziar Raissi
P. Perdikaris
Nazanin Ahmadi
George Karniadakis
PINNAI4CE
331
18
0
29 Aug 2024
Fourier Spectral Physics Informed Neural Network: An Efficient and
  Low-Memory PINN
Fourier Spectral Physics Informed Neural Network: An Efficient and Low-Memory PINN
Tianchi Yu
Yiming Qi
Ivan Oseledets
Shiyi Chen
206
0
0
29 Aug 2024
General-Kindred Physics-Informed Neural Network to the Solutions of
  Singularly Perturbed Differential Equations
General-Kindred Physics-Informed Neural Network to the Solutions of Singularly Perturbed Differential EquationsThe Physics of Fluids (Phys. Fluids), 2024
Sen Wang
Peizhi Zhao
Qinglong Ma
Tao Song
PINN
238
7
0
27 Aug 2024
Functional Tensor Decompositions for Physics-Informed Neural Networks
Functional Tensor Decompositions for Physics-Informed Neural NetworksInternational Conference on Pattern Recognition (ICPR), 2024
Sai Karthikeya Vemuri
Tim Buchner
Julia Niebling
Joachim Denzler
PINN
295
14
0
23 Aug 2024
PinnDE: Physics-Informed Neural Networks for Solving Differential Equations
PinnDE: Physics-Informed Neural Networks for Solving Differential Equations
Jason Matthews
Alex Bihlo
PINN
393
3
0
19 Aug 2024
Parameterized Physics-informed Neural Networks for Parameterized PDEs
Parameterized Physics-informed Neural Networks for Parameterized PDEsInternational Conference on Machine Learning (ICML), 2024
Woojin Cho
Minju Jo
Haksoo Lim
Kookjin Lee
Dongeun Lee
Sanghyun Hong
Noseong Park
PINNAI4CE
268
49
1
18 Aug 2024
Regime-Aware Time Weighting for Physics-Informed Neural Networks
Regime-Aware Time Weighting for Physics-Informed Neural Networks
Gabriel Turinici
259
0
0
31 Jul 2024
NeuroSEM: A hybrid framework for simulating multiphysics problems by
  coupling PINNs and spectral elements
NeuroSEM: A hybrid framework for simulating multiphysics problems by coupling PINNs and spectral elements
K. Shukla
Zongren Zou
Chi Hin Chan
Additi Pandey
Zhicheng Wang
George Karniadakis
PINN
256
25
0
30 Jul 2024
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
PINNAI4CE
250
6
0
28 Jul 2024
Sobolev neural network with residual weighting as a surrogate in linear
  and non-linear mechanics
Sobolev neural network with residual weighting as a surrogate in linear and non-linear mechanics
A.O.M. Kilicsoy
J. Liedmann
M. Valdebenito
F. Barthold
M. G. R. Faes
208
2
0
23 Jul 2024
Data-Guided Physics-Informed Neural Networks for Solving Inverse
  Problems in Partial Differential Equations
Data-Guided Physics-Informed Neural Networks for Solving Inverse Problems in Partial Differential Equations
Wei Zhou
Y. F. Xu
AI4CEPINN
341
8
0
15 Jul 2024
Stable Weight Updating: A Key to Reliable PDE Solutions Using Deep
  Learning
Stable Weight Updating: A Key to Reliable PDE Solutions Using Deep Learning
A. Noorizadegan
R. Cavoretto
D. Young
C. S. Chen
195
14
0
10 Jul 2024
WANCO: Weak Adversarial Networks for Constrained Optimization problems
WANCO: Weak Adversarial Networks for Constrained Optimization problems
Gang Bao
Dong Wang
Boyi Zou
394
5
0
04 Jul 2024
Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problems
Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problems
Amanda A. Howard
Ashish S. Nair
Sarah H. Murphy
Alexander Heinlein
P. Stinis
AI4CE
540
41
0
28 Jun 2024
Residual resampling-based physics-informed neural network for neutron
  diffusion equations
Residual resampling-based physics-informed neural network for neutron diffusion equations
Heng Zhang
Yun-Ling He
Dong Liu
Qin Hang
He-Min Yao
Di Xiang
DiffMAI4CE
161
3
0
23 Jun 2024
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