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A finite operator learning technique for mapping the elastic properties
  of microstructures to their mechanical deformations

A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformations

28 March 2024
Shahed Rezaei
Reza Najian Asl
S. Faroughi
Mahdi Asgharzadeh
Ali Harandi
Rasoul Najafi Koopas
G. Laschet
Stefanie Reese
Markus Apel
    AI4CE
ArXivPDFHTML

Papers citing "A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformations"

8 / 8 papers shown
Title
A finite element-based physics-informed operator learning framework for
  spatiotemporal partial differential equations on arbitrary domains
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains
Yusuke Yamazaki
Ali Harandi
Mayu Muramatsu
A. Viardin
Markus Apel
T. Brepols
Stefanie Reese
Shahed Rezaei
AI4CE
26
12
0
21 May 2024
Introducing a microstructure-embedded autoencoder approach for
  reconstructing high-resolution solution field data from a reduced parametric
  space
Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space
Rasoul Najafi Koopas
Shahed Rezaei
N. Rauter
Richard Ostwald
R. Lammering
AI4CE
27
4
0
03 May 2024
Improved architectures and training algorithms for deep operator
  networks
Improved architectures and training algorithms for deep operator networks
Sifan Wang
Hanwen Wang
P. Perdikaris
AI4CE
42
103
0
04 Oct 2021
Physics-informed Convolutional Neural Networks for Temperature Field
  Prediction of Heat Source Layout without Labeled Data
Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data
Xiaoyu Zhao
Zhiqiang Gong
Yunyang Zhang
Wen Yao
Xiaoqian Chen
OOD
AI4CE
69
89
0
26 Sep 2021
Predicting Mechanically Driven Full-Field Quantities of Interest with
  Deep Learning-Based Metamodels
Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels
S. Mohammadzadeh
Emma Lejeune
AI4CE
18
28
0
24 Jul 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
203
2,272
0
18 Oct 2020
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain
  Decomposition
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
E. Kharazmi
Zhongqiang Zhang
George Karniadakis
117
506
0
11 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
145
1,333
0
27 Aug 2019
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