activity
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

collaborators
Showing 2026Show all

2 papers · 1 filter

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…

cs.SC2026

Quadratization of Autonomous Partial Differential Equations: Algorithmic Solutions

Albani Olivieri, Gleb Pogudin, Boris Kramer

Quadratization for partial differential equations (PDEs) is a process that formally transforms a PDE with a nonquadratic right-hand side into a quadratic form by introducing auxili…