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Conditional physics informed neural networks

Conditional physics informed neural networks

6 April 2021
A. Kovacs
L. Exl
Alexander Kornell
J. Fischbacher
Markus Hovorka
M. Gusenbauer
L. Breth
H. Oezelt
M. Yano
N. Sakuma
Akihito Kinoshita
T. Shoji
A. Kato
T. Schrefl
    PINN
ArXiv (abs)PDFHTML

Papers citing "Conditional physics informed neural networks"

18 / 18 papers shown
Title
PINNs Algorithmic Framework for Simulation of Nonlinear Burgers' Type Models
PINNs Algorithmic Framework for Simulation of Nonlinear Burgers' Type Models
Ajeet Singh
Ram Jiwari
Vikram
Ujjwal Saini
PINN
16
0
0
15 Jun 2025
Solving engineering eigenvalue problems with neural networks using the Rayleigh quotient
Conor Rowan
John A. Evans
K. Maute
Alireza Doostan
29
0
0
04 Jun 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
137
12
0
02 Feb 2025
PACMANN: Point Adaptive Collocation Method for Artificial Neural
  Networks
PACMANN: Point Adaptive Collocation Method for Artificial Neural Networks
Coen Visser
Alexander Heinlein
Bianca Giovanardi
109
1
0
29 Nov 2024
Physics aware machine learning for micromagnetic energy minimization:
  recent algorithmic developments
Physics aware machine learning for micromagnetic energy minimization: recent algorithmic developments
Sebastian Schaffer
T. Schrefl
Harald Oezelt
Norbert J Mauser
Lukas Exl
AI4CE
71
0
0
19 Sep 2024
PirateNets: Physics-informed Deep Learning with Residual Adaptive
  Networks
PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
Sizhuang He
Bowen Li
Yuhan Chen
P. Perdikaris
AI4CEPINN
160
36
0
01 Feb 2024
Machine learning and domain decomposition methods -- a survey
Machine learning and domain decomposition methods -- a survey
A. Klawonn
M. Lanser
J. Weber
AI4CE
59
9
0
21 Dec 2023
An Expert's Guide to Training Physics-informed Neural Networks
An Expert's Guide to Training Physics-informed Neural Networks
Sizhuang He
Shyam Sankaran
Hanwen Wang
P. Perdikaris
PINN
100
108
0
16 Aug 2023
Error convergence and engineering-guided hyperparameter search of PINNs:
  towards optimized I-FENN performance
Error convergence and engineering-guided hyperparameter search of PINNs: towards optimized I-FENN performance
Panos Pantidis
Habiba Eldababy
Christopher Miguel Tagle
M. Mobasher
73
22
0
03 Mar 2023
Can Physics-Informed Neural Networks beat the Finite Element Method?
Can Physics-Informed Neural Networks beat the Finite Element Method?
T. G. Grossmann
Urszula Julia Komorowska
J. Latz
Carola-Bibiane Schönlieb
PINNAI4CE
106
93
0
08 Feb 2023
Application of machine learning regression models to inverse eigenvalue
  problems
Application of machine learning regression models to inverse eigenvalue problems
Nikolaos Pallikarakis
Andreas Ntargaras
25
9
0
08 Dec 2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and
  Applications
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications
Zhongkai Hao
Songming Liu
Yichi Zhang
Chengyang Ying
Yao Feng
Hang Su
Jun Zhu
PINNAI4CE
130
99
0
15 Nov 2022
Partial Differential Equations Meet Deep Neural Networks: A Survey
Partial Differential Equations Meet Deep Neural Networks: A Survey
Shudong Huang
Wentao Feng
Chenwei Tang
Jiancheng Lv
AI4CEAIMat
77
21
0
27 Oct 2022
Data-driven synchronization-avoiding algorithms in the explicit
  distributed structural analysis of soft tissue
Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue
G. Tong
Daniele E. Schiavazzi
78
3
0
05 Jul 2022
State-of-the-Art Review of Design of Experiments for Physics-Informed
  Deep Learning
State-of-the-Art Review of Design of Experiments for Physics-Informed Deep Learning
Sourav Das
S. Tesfamariam
PINNAI4CE
84
20
0
13 Feb 2022
Physics-informed ConvNet: Learning Physical Field from a Shallow Neural
  Network
Physics-informed ConvNet: Learning Physical Field from a Shallow Neural Network
Peng Shi
Zhi Zeng
Tianshou Liang
AI4CE
60
23
0
26 Jan 2022
Scientific Machine Learning through Physics-Informed Neural Networks:
  Where we are and What's next
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next
S. Cuomo
Vincenzo Schiano Di Cola
F. Giampaolo
G. Rozza
Maizar Raissi
F. Piccialli
PINN
138
1,305
0
14 Jan 2022
Predicting the spread of COVID-19 in Delhi, India using Deep Residual
  Recurrent Neural Networks
Predicting the spread of COVID-19 in Delhi, India using Deep Residual Recurrent Neural Networks
S. Vadyala
S. N. Betgeri
71
2
0
09 Oct 2021
1