Non-intrusive Nonlinear Model Reduction via Machine Learning Approximations to Low-dimensional Operators

17 June 2021

Papers citing "Non-intrusive Nonlinear Model Reduction via Machine Learning Approximations to Low-dimensional Operators"

8 / 8 papers shown

Title
FTL: Transfer Learning Nonlinear Plasma Dynamic Transitions in Low Dimensional Embeddings via Deep Neural Networks Zhe Bai Xishuo Wei William Tang L. Oliker Zhihong Lin Samuel Williams AI4CE 21 0 0 26 Apr 2024
A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling Christophe Bonneville Xiaolong He April Tran Jun Sur Richard Park William D. Fries ... David M. Bortz Debojyoti Ghosh Jiun-Shyan Chen Jonathan Belof Youngsoo Choi AI4CE 88 9 0 16 Mar 2024
GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder Christophe Bonneville Youngsoo Choi Debojyoti Ghosh Jonathan Belof AI4CE 67 21 0 10 Aug 2023
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review Sibo Cheng César Quilodrán-Casas Said Ouala A. Farchi Che Liu ... Weiping Ding Yike Guo A. Carrassi Marc Bocquet Rossella Arcucci AI4CE 81 135 0 18 Mar 2023
Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials Xiaolong He Jiun-Shyan Chen AI4CE 115 51 0 01 May 2022
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification Xiaolong He Youngsoo Choi William D. Fries Jonathan Belof Jiun-Shyan Chen AI4CE 47 39 0 26 Apr 2022
Deep-HyROMnet: A deep learning-based operator approximation for hyper-reduction of nonlinear parametrized PDEs Ludovica Cicci S. Fresca Andrea Manzoni AI4CE 61 25 0 05 Feb 2022
Nonlinear proper orthogonal decomposition for convection-dominated flows Shady E. Ahmed Omer San Adil Rasheed T. Iliescu 56 37 0 15 Oct 2021