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PyDEns: a Python Framework for Solving Differential Equations with
  Neural Networks

PyDEns: a Python Framework for Solving Differential Equations with Neural Networks

25 September 2019
A. Koryagin
R. Khudorozhkov
S. Tsimfer
    OOD
    AI4CE
ArXivPDFHTML

Papers citing "PyDEns: a Python Framework for Solving Differential Equations with Neural Networks"

13 / 13 papers shown
Title
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
36
7
0
10 Jul 2024
Gravitational Duals from Equations of State
Gravitational Duals from Equations of State
Yago Bea
Raul Jimenez
David Mateos
Shuheng Liu
P. Protopapas
Pedro Tarancón-Álvarez
Pablo Tejerina-Pérez
29
3
0
21 Mar 2024
NeuralUQ: A comprehensive library for uncertainty quantification in
  neural differential equations and operators
NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators
Zongren Zou
Xuhui Meng
Apostolos F. Psaros
George Karniadakis
AI4CE
36
37
0
25 Aug 2022
Qade: Solving Differential Equations on Quantum Annealers
Qade: Solving Differential Equations on Quantum Annealers
J. C. Criado
M. Spannowsky
34
12
0
07 Apr 2022
Physics-informed neural networks for solving parametric magnetostatic
  problems
Physics-informed neural networks for solving parametric magnetostatic problems
Andrés Beltrán-Pulido
Ilias Bilionis
D. Aliprantis
30
34
0
08 Feb 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
33
1,190
0
14 Jan 2022
Learning Density Distribution of Reachable States for Autonomous Systems
Learning Density Distribution of Reachable States for Autonomous Systems
Yue Meng
Dawei Sun
Zeng Qiu
Md Tawhid Bin Waez
Chuchu Fan
82
19
0
14 Sep 2021
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
211
0
16 Jul 2021
IDRLnet: A Physics-Informed Neural Network Library
IDRLnet: A Physics-Informed Neural Network Library
Wei Peng
Jun Zhang
Weien Zhou
Xiaoyu Zhao
W. Yao
Xiaoqian Chen
PINN
AI4CE
41
15
0
09 Jul 2021
Conditional physics informed neural networks
Conditional physics informed neural networks
A. Kovacs
L. Exl
Alexander Kornell
J. Fischbacher
Markus Hovorka
...
N. Sakuma
Akihito Kinoshita
T. Shoji
A. Kato
T. Schrefl
PINN
27
38
0
06 Apr 2021
dNNsolve: an efficient NN-based PDE solver
dNNsolve: an efficient NN-based PDE solver
V. Guidetti
F. Muia
Y. Welling
A. Westphal
27
6
0
15 Mar 2021
Solving Differential Equations Using Neural Network Solution Bundles
Solving Differential Equations Using Neural Network Solution Bundles
Cedric Wen Flamant
P. Protopapas
David Sondak
28
29
0
17 Jun 2020
ODEN: A Framework to Solve Ordinary Differential Equations using
  Artificial Neural Networks
ODEN: A Framework to Solve Ordinary Differential Equations using Artificial Neural Networks
Liam L. H. Lau
D. Werth
8
3
0
28 May 2020
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