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math.NA2026
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…
math.NA2024
Gradient Preserving Operator Inference: Data-Driven Reduced-Order Models for Equations with Gradient Structure
Yuwei Geng, Jasdeep Singh, Lili Ju +2
Hamiltonian Operator Inference has been introduced in [Sharma, H., Wang, Z., Kramer, B., Physica D: Nonlinear Phenomena, 431, p.133122, 2022] to learn structure-preserving reduced-…