activity
20222025
most citedData-driven modeling of hypersonic reentry flow with heat and mass transfer

10 citations · 31 across the 7 of their papers we have counts for

collaborators

7 papers

math.DS2025

A CFL-type Condition and Theoretical Insights for Discrete-Time Sparse Full-Order Model Inference

Leonidas Gkimisis, Süleyman Yıldız, Peter Benner +1

In this work, we investigate the data-driven inference of a discrete-time dynamical system via a sparse Full-Order Model (sFOM). We first formulate the involved Least Squares (LS)…

math.NA2025

On the representation of energy-preserving quadratic operators with application to Operator Inference

Leonidas Gkimisis, Igor Pontes Duff, Pawan Goyal +1

In this work, we investigate a skew-symmetric parameterization for energy-preserving quadratic operators. Earlier, [Goyal et al., 2023] proposed this parameterization to enforce en…

math.DS2025★ 8 cited

Non-intrusive reduced-order modeling for dynamical systems with spatially localized features

Leonidas Gkimisis, Nicole Aretz, Marco Tezzele +3

This work presents a non-intrusive reduced-order modeling framework for dynamical systems with spatially localized features characterized by slow singular value decay. The proposed…

physics.flu-dyn2023★ 5 cited

Adjacency-based, Non-intrusive Reduced-order Modeling for Fluid-Structure Interactions

Leonidas Gkimisis, Thomas Richter, Peter Benner

Non-intrusive model reduction is a promising solution to system dynamics prediction, especially in cases where data are collected from experimental campaigns or proprietary softwar…

physics.flu-dyn2023★ 8 cited

Adjacency-based, non-intrusive model reduction for Vortex-Induced Vibrations

Leonidas Gkimisis, Thomas Richter, Peter Benner

Vortex-induced vibrations (VIV) pose computationally expensive problems of high practical interest to several engineering fields. In this work we develop a non-intrusive, reduced-o…

math.DS2022

Data-driven quadratic modeling in the Loewner framework from input-output time-domain measurements

D. S. Karachalios, I. V. Gosea, L. Gkimisis +1

In this study, we present a purely data-driven method that uses the Loewner framework (LF) along with nonlinear optimization techniques to infer quadratic with affine control dynam…

physics.flu-dyn2022★ 10 cited

Data-driven modeling of hypersonic reentry flow with heat and mass transfer

Leonidas Gkimisis, Bruno Ricardo Barros Dias, James B. Scoggins +3

The entry phase constitutes a design driver for aerospace systems that include such a critical step. This phase is characterized by hypersonic flows encompassing multiscale phenome…