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cs.LG2025
Physics-informed sensor coverage through structure preserving machine learning
Benjamin David Shaffer, Brooks Kinch, Joseph Klobusicky +2
We present a machine learning framework for adaptive source localization in which agents use a structure-preserving digital twin of a coupled hydrodynamic-transport system for real…
cs.LG2025
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms
Brooks Kinch, Benjamin Shaffer, Elizabeth Armstrong +3
We present a framework for constructing real-time digital twins based on structure-preserving reduced finite element models conditioned on a latent variable Z. The approach uses co…
cs.LG2025
Data-driven particle dynamics: Structure-preserving coarse-graining for emergent behavior in non-equilibrium systems
Quercus Hernandez, Max Win, Thomas C. O'Connor +2
Multiscale systems are ubiquitous in science and technology, but are notoriously challenging to simulate as short spatiotemporal scales must be appropriately linked to emergent bul…