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20242026
most citedGradient Preserving Operator Inference: Data-Driven Reduced-Order Models for Equations with Gradient Structure

11 citations · 14 across the 5 of their papers we have counts for

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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…

physics.comp-ph2025★ 3 cited

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…