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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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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…

math.NA2025

Data-Driven Reduced-Order Models for Port-Hamiltonian Systems with Operator Inference

Yuwei Geng, Lili Ju, Boris Kramer +1

Hamiltonian operator inference has been developed in [Sharma, H., Wang, Z., Kramer, B., Physica D: Nonlinear Phenomena, 431, p.133122, 2022] to learn structure-preserving reduced-o…