A Multifidelity deep operator network approach to closure for multiscale systems

15 March 2023

Papers citing "A Multifidelity deep operator network approach to closure for multiscale systems"

6 / 6 papers shown

Title
A Bi-fidelity DeepONet Approach for Modeling Uncertain and Degrading Hysteretic Systems Subhayan De P. Brewick 24 0 0 25 Apr 2023
On the Stochastic Stability of Deep Markov Models Ján Drgoňa Sayak Mukherjee Jiaxin Zhang Frank Liu M. Halappanavar BDL 17 5 0 08 Nov 2021
Improved architectures and training algorithms for deep operator networks Sifan Wang Hanwen Wang P. Perdikaris AI4CE 42 104 0 04 Oct 2021
Physics-based Deep Learning Nils Thuerey Philipp Holl P. Holl Patrick Schnell Felix Trost Kiwon Um P. Schnell F. Trost PINN AI4CE 48 92 0 11 Sep 2021
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
On the stability of projection-based model order reduction for convection-dominated laminar and turbulent flows Sebastian Grimberg C. Farhat Noah Youkilis 21 88 0 27 Jan 2020