2 papers
physics.comp-ph2026
A Differentiable Programming Framework for Accurate and Stable Reduced-Order Modeling of Chaotic Flows
Anant Kumar, Oliver Morales, Rohit Deshmukh
Classical Proper Orthogonal Decomposition (POD)-based Galerkin projection models of chaotic flows typically require a large number of modes as well as stabilization or closure term…
cs.DC2026
A Data-Informed Local Subspaces Method for Error-Bounded Lossy Compression of Large-Scale Scientific Datasets
Arshan Khan, Rohit Deshmukh, Ben O'Neill
The growing volume of scientific simulation data presents a significant challenge for storage and transfer. Error-bounded lossy compression has emerged as a critical solution for m…