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

Rémi Dingreville

George Karniadakis

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

13 / 13 papers shown

Title
3D variational autoencoder for fingerprinting microstructure volume elements Michael D. White Michael D. Atkinson Adam J. Plowman Pratheek Shanthraj 49 0 0 21 Mar 2025
Mitigating Spectral Bias in Neural Operators via High-Frequency Scaling for Physical Systems Siavash Khodakarami Vivek Oommen Aniruddha Bora George Karniadakis AI4CE 65 2 0 17 Mar 2025
Shape-informed surrogate models based on signed distance function domain encoding L. Zhang S. Pagani Jun Zhang Francesco Regazzoni AI4CE 44 1 0 19 Sep 2024
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling Vivek Oommen Aniruddha Bora Zhen Zhang George Karniadakis DiffM 51 14 0 13 Sep 2024
Physics-informed neural network for modeling dynamic linear elasticity Vijay Kag Venkatesh Gopinath PINN 9 1 0 23 Dec 2023
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 32 4 0 23 Nov 2023
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
SMS: Spiking Marching Scheme for Efficient Long Time Integration of Differential Equations Qian Zhang Adar Kahana George Karniadakis P. Stinis 16 8 0 17 Nov 2022
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 49 0 14 Nov 2022
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 33 4 0 31 Oct 2022
G2Φnet: Relating Genotype and Biomechanical Phenotype of Tissues with Deep Learning Enrui Zhang B. Spronck J. Humphrey George Karniadakis AI4CE 36 9 0 21 Aug 2022
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 256 2,298 0 18 Oct 2020
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 159 1,342 0 27 Aug 2019