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Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks

Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks

28 May 2024
D. Anton
Jendrik-Alexander Tröger
Henning Wessels
Ulrich Römer
Alexander Henkes
Stefan Hartmann
    AI4CE
ArXivPDFHTML

Papers citing "Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks"

12 / 12 papers shown
Title
EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations
EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations
Hamidreza Eivazi
Jendrik-Alexander Tröger
Stefan H. A. Wittek
Stefan Hartmann
Andreas Rausch
AI4CE
55
0
0
27 Mar 2025
Physics-Informed Neural Networks for Material Model Calibration from
  Full-Field Displacement Data
Physics-Informed Neural Networks for Material Model Calibration from Full-Field Displacement Data
D. Anton
Henning Wessels
AI4CE
48
8
0
15 Dec 2022
Calibrating constitutive models with full-field data via physics
  informed neural networks
Calibrating constitutive models with full-field data via physics informed neural networks
Craig M. Hamel
K. Long
S. Kramer
AI4CE
46
29
0
30 Mar 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
40
35
0
08 Feb 2022
Physics informed neural networks for continuum micromechanics
Physics informed neural networks for continuum micromechanics
Alexander Henkes
Henning Wessels
R. Mahnken
PINN
AI4CE
32
141
0
14 Oct 2021
Physics-Informed Neural Networks for Nonhomogeneous Material
  Identification in Elasticity Imaging
Physics-Informed Neural Networks for Nonhomogeneous Material Identification in Elasticity Imaging
Enrui Zhang
Minglang Yin
George Karniadakis
19
64
0
02 Sep 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
71
42,038
0
03 Dec 2019
Data-driven discovery of PDEs in complex datasets
Data-driven discovery of PDEs in complex datasets
Jens Berg
K. Nystrom
AI4CE
PINN
20
141
0
31 Aug 2018
A unified deep artificial neural network approach to partial
  differential equations in complex geometries
A unified deep artificial neural network approach to partial differential equations in complex geometries
Jens Berg
K. Nystrom
AI4CE
43
581
0
17 Nov 2017
Automatic differentiation in machine learning: a survey
Automatic differentiation in machine learning: a survey
A. G. Baydin
Barak A. Pearlmutter
Alexey Radul
J. Siskind
PINN
AI4CE
ODL
113
2,775
0
20 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
229
149,474
0
22 Dec 2014
emcee: The MCMC Hammer
emcee: The MCMC Hammer
D. Foreman-Mackey
D. Hogg
D. Lang
J. Goodman
51
8,462
0
16 Feb 2012
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