3 papers
physics.comp-ph2026
Stochastic Operator Inference for reduced-order modeling of capillary wave turbulence using experimental measurements
Hyeonghun Kim, Lei Zhang, James Friend +1
Modeling complex physical phenomena directly from experimental data poses fundamental challenges: measurement devices introduce noise and biases into the data, the governing equati…
math.NA2025
Parametric Operator Inference to Simulate the Purging Process in Semiconductor Manufacturing
Seunghyon Kang, Hyeonghun Kim, Boris Kramer
This work presents the application of parametric Operator Inference (OpInf) -- a nonintrusive reduced-order modeling (ROM) technique that learns a low-dimensional representation of…
physics.comp-ph2025
Physically consistent predictive reduced-order modeling by enhancing Operator Inference with state constraints
Hyeonghun Kim, Boris Kramer
Numerical simulations of complex multiphysics systems, such as char combustion considered herein, yield numerous state variables that inherently exhibit physical constraints. This…