A DeepONet multi-fidelity approach for residual learning in reduced order modeling

24 February 2023

Papers citing "A DeepONet multi-fidelity approach for residual learning in reduced order modeling"

8 / 8 papers shown

Title
PODNO: Proper Orthogonal Decomposition Neural Operators Zilan Cheng Zhongjian Wang Li-Lian Wang Mejdi Azaiez 34 0 0 25 Apr 2025
Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification Soban Nasir Lone Subhayan De R. Nayek BDL 27 1 0 01 Aug 2024
Multifidelity linear regression for scientific machine learning from scarce data Elizabeth Qian Dayoung Kang Vignesh Sella Anirban Chaudhuri AI4CE 79 1 0 13 Mar 2024
Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks Jonas Kneifl Jörg Fehr Steven L. Brunton J. Nathan Kutz AI4CE 22 1 0 14 Feb 2024
A Latent Variable Approach for Non-Hierarchical Multi-Fidelity Adaptive Sampling Yi-Ping Chen Liwei Wang Yigitcan Comlek Wei-Neng Chen 22 10 0 05 Oct 2023
Generative Adversarial Reduced Order Modelling Dario Coscia N. Demo G. Rozza GAN AI4CE 34 5 0 25 May 2023
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs F. Pichi B. Moya J. Hesthaven AI4CE 28 51 0 15 May 2023
Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities Mengwu Guo Andrea Manzoni Maurice Amendt Paolo Conti J. Hesthaven 68 95 0 26 Feb 2021