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Rethinking materials simulations: Blending direct numerical simulations
  with neural operators

Rethinking materials simulations: Blending direct numerical simulations with neural operators

8 December 2023
Vivek Oommen
K. Shukla
Saaketh Desai
Rémi Dingreville
George Karniadakis
    AI4CE
ArXivPDFHTML

Papers citing "Rethinking materials simulations: Blending direct numerical simulations with neural operators"

12 / 12 papers shown
Title
Accelerating Multiscale Modeling with Hybrid Solvers: Coupling FEM and Neural Operators with Domain Decomposition
Accelerating Multiscale Modeling with Hybrid Solvers: Coupling FEM and Neural Operators with Domain Decomposition
Wei Wang
Maryam Hakimzadeh
Haihui Ruan
Somdatta Goswami
AI4CE
35
0
0
15 Apr 2025
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
Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed
  Neural Operators
Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed Neural Operators
Chuwei Wang
Julius Berner
Zongyi Li
Di Zhou
Jiayun Wang
Jane Bae
Anima Anandkumar
AI4CE
28
1
0
09 Aug 2024
Ensemble and Mixture-of-Experts DeepONets For Operator Learning
Ensemble and Mixture-of-Experts DeepONets For Operator Learning
Ramansh Sharma
Varun Shankar
48
0
0
20 May 2024
Latent Dynamics Networks (LDNets): learning the intrinsic dynamics of
  spatio-temporal processes
Latent Dynamics Networks (LDNets): learning the intrinsic dynamics of spatio-temporal processes
Francesco Regazzoni
S. Pagani
M. Salvador
Luca Dede'
A. Quarteroni
AI4CE
31
7
0
28 Apr 2023
Adaptive physics-informed neural operator for coarse-grained
  non-equilibrium flows
Adaptive physics-informed neural operator for coarse-grained non-equilibrium flows
Ivan Zanardi
Simone Venturi
M. Panesi
AI4CE
57
17
0
27 Oct 2022
An unsupervised latent/output physics-informed convolutional-LSTM
  network for solving partial differential equations using peridynamic
  differential operator
An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator
A. Mavi
A. Bekar
E. Haghighat
E. Madenci
57
28
0
21 Oct 2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Jayesh K. Gupta
Johannes Brandstetter
AI4CE
53
117
0
30 Sep 2022
Generic bounds on the approximation error for physics-informed (and)
  operator learning
Generic bounds on the approximation error for physics-informed (and) operator learning
Tim De Ryck
Siddhartha Mishra
PINN
59
59
0
23 May 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
Transformer Networks for Trajectory Forecasting
Transformer Networks for Trajectory Forecasting
Francesco Giuliari
Irtiza Hasan
Marco Cristani
Fabio Galasso
111
371
0
18 Mar 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,770
0
18 May 2015
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