no code implementations • 16 Nov 2021 • Austin Chennault, Andrey A. Popov, Amit N. Subrahmanya, Rachel Cooper, Ali Haisam Muhammad Rafid, Anuj Karpatne, Adrian Sandu
Surrogates constructed using adjoint information demonstrate superior performance on the 4D-Var data assimilation problem compared to a standard neural network surrogate that uses only forward dynamics information.
no code implementations • 27 Aug 2021 • Rachel Cooper, Andrey A. Popov, Adrian Sandu
Reduced order modeling (ROM) is a field of techniques that approximates complex physics-based models of real-world processes by inexpensive surrogates that capture important dynamical characteristics with a smaller number of degrees of freedom.