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Learning two-phase microstructure evolution using neural operators and
  autoencoder architectures

Learning two-phase microstructure evolution using neural operators and autoencoder architectures

11 April 2022
Vivek Oommen
K. Shukla
S. Goswami
Rémi Dingreville
George Karniadakis
    AI4CE
ArXivPDFHTML

Papers citing "Learning two-phase microstructure evolution using neural operators and autoencoder architectures"

10 / 10 papers shown
Title
3D variational autoencoder for fingerprinting microstructure volume elements
3D variational autoencoder for fingerprinting microstructure volume elements
Michael D. White
Michael D. Atkinson
Adam J. Plowman
Pratheek Shanthraj
47
0
0
21 Mar 2025
Shape-informed surrogate models based on signed distance function domain
  encoding
Shape-informed surrogate models based on signed distance function domain encoding
L. Zhang
S. Pagani
Jun Zhang
Francesco Regazzoni
AI4CE
37
1
0
19 Sep 2024
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling
Vivek Oommen
Aniruddha Bora
Zhen Zhang
George Karniadakis
DiffM
45
13
0
13 Sep 2024
Mechanical Characterization and Inverse Design of Stochastic Architected
  Metamaterials Using Neural Operators
Mechanical Characterization and Inverse Design of Stochastic Architected Metamaterials Using Neural Operators
Hanxun Jin
Enrui Zhang
Boyu Zhang
Sridhar Krishnaswamy
George Karniadakis
Horacio D. Espinosa
AI4CE
24
4
0
23 Nov 2023
Neural Operator Learning for Long-Time Integration in Dynamical Systems
  with Recurrent Neural Networks
Neural Operator Learning for Long-Time Integration in Dynamical Systems with Recurrent Neural Networks
K. Michałowska
S. Goswami
George Karniadakis
S. Riemer-Sørensen
AI4CE
15
15
0
03 Mar 2023
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in
  Scientific Computing
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing
Salah A. Faroughi
N. Pawar
C. Fernandes
Maziar Raissi
Subasish Das
N. Kalantari
S. K. Mahjour
PINN
AI4CE
27
47
0
14 Nov 2022
Comparison of two artificial neural networks trained for the surrogate
  modeling of stress in materially heterogeneous elastoplastic solids
Comparison of two artificial neural networks trained for the surrogate modeling of stress in materially heterogeneous elastoplastic solids
S. Kapoor
J. Mianroodi
M. S. Khorrami
Nima S. Siboni
Bob Svendsen
21
4
0
31 Oct 2022
G2Φnet: Relating Genotype and Biomechanical Phenotype of Tissues
  with Deep Learning
G2Φnet: Relating Genotype and Biomechanical Phenotype of Tissues with Deep Learning
Enrui Zhang
B. Spronck
J. Humphrey
George Karniadakis
AI4CE
21
9
0
21 Aug 2022
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
2,281
0
18 Oct 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
1,338
0
27 Aug 2019
1