208 citations · 291 across the 5 of their papers we have counts for
5 papers
Defining Foundation Models for Computational Science: A Call for Clarity and Rigor
Youngsoo Choi, Siu Wun Cheung, Youngkyu Kim +9
The widespread success of foundation models in natural language processing and computer vision has inspired researchers to extend the concept to scientific machine learning and com…
Gappy AE: A Nonlinear Approach for Gappy Data Reconstruction using Auto-Encoder
Youngkyu Kim, Youngsoo Choi, Byounghyun Yoo
We introduce a novel data reconstruction algorithm known as Gappy auto-encoder (Gappy AE) to address the limitations associated with Gappy proper orthogonal decomposition (Gappy PO…
Efficient space-time reduced order model for linear dynamical systems in Python using less than 120 lines of code
Youngkyu Kim, Karen May Wang, Youngsoo Choi
A classical reduced order model (ROM) for dynamical problems typically involves only the spatial reduction of a given problem. Recently, a novel space-time ROM for linear dynamical…
Efficient nonlinear manifold reduced order model
Youngkyu Kim, Youngsoo Choi, David Widemann +1
Traditional linear subspace reduced order models (LS-ROMs) are able to accelerate physical simulations, in which the intrinsic solution space falls into a subspace with a small dim…
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder
Youngkyu Kim, Youngsoo Choi, David Widemann +1
Traditional linear subspace reduced order models (LS-ROMs) are able to accelerate physical simulations, in which the intrinsic solution space falls into a subspace with a small dim…