Reduced operator inference for nonlinear partial differential equations

29 January 2021

Papers citing "Reduced operator inference for nonlinear partial differential equations"

6 / 6 papers shown

Title
Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine Ionut-Gabriel Farcas Rayomand P. Gundevia R. Munipalli Karen E. Willcox AI4CE 52 1 0 13 Jul 2024
Gaussian process learning of nonlinear dynamics Dongwei Ye Mengwu Guo 20 4 0 19 Dec 2023
Streaming Compression of Scientific Data via weak-SINDy Benjamin P. Russo M. P. Laiu Rick Archibald 28 3 0 29 Aug 2023
Convergence of weak-SINDy Surrogate Models Benjamin P. Russo M. P. Laiu 16 8 0 30 Sep 2022
Learning Green's functions associated with time-dependent partial differential equations N. Boullé Seick Kim Tianyi Shi Alex Townsend AI4CE 29 25 0 27 Apr 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 247 2,298 0 18 Oct 2020