activity
20242026
collaborators

10 papers

cs.CE2026

Perspectives on Sustainable Computational Science and Engineering

Julia Kowalski, Ann S. Almgren, Achim Basermann +43

Computational Science and Engineering (CSE) combines expertise at the intersection of engineering, applied mathematics, and computer science to form powerful methods for model-base…

math.NA2026

Sparse entropic quadrature for moment equations

Georgii Oblapenko, Michael Herty, Manuel Torrilhon

In the present work, we study the properties of the sparse entropic quadrature method, a recently proposed method for the closure of systems of moment equations in rarefied gas dyn…

physics.comp-ph2026

Sparse and low-rank kinetic distribution estimation

Georgii Oblapenko, Lambert Theisen, Rostislav-Paul Wilhelm +2

In this paper, we consider methods that allow for memory-efficient storage of high-dimensional distributions and retain certain key features thereof, specifically in a kinetic theo…

physics.comp-ph2026

Moment-preserving particle merging via non-negative least squares

Georgii Oblapenko, Manuel Torrilhon

A novel particle merging algorithm for rarefied gas dynamics simulations is proposed that can conserve arbitrary velocity and spatial moments of the particle distribution via solvi…

physics.comp-ph2025

Sparse Reconstruction of Multi-Dimensional Kinetic Distributions

Georgii Oblapenko, Manuel Torrilhon, Michael Herty

In the present work, we propose a novel method for reconstruction of multi-dimensional kinetic distributions, based on their representation as a mixture of Dirac delta functions. T…

physics.chem-ph2025

Modeling of Chemical Reactions in Rarefied Gas Flows by the Kinetic Fokker-Planck Method

Leo Basov, Georgii Oblapenko, Martin Grabe

We propose a novel approach for modeling chemical reactions within the particle-based Fokker-Planck framework for gas flow simulations which conserves mass, momentum, and energy wh…

physics.plasm-ph2024

A Non-Negative Least Squares-based Approach for Moment-Preserving Particle Merging

Georgii Oblapenko

In the present work, a novel particle merging scheme is proposed for PIC-DSMC simulations, based on the solution of a Non-negative Least Squares problem. The merging algorithm cons…

physics.flu-dyn2024

Entropy-stable fluxes for high-order Discontinuous Galerkin simulations of high-enthalpy flows

Georgii Oblapenko, Arseniy Tarnovskiy, Moritz Ertl +1

In the present work, we extend the Discontinuous Galerkin Spectral Element Method (DGSEM) to high-enthalpy reacting gas flows with internal degrees of freedom. An entropy- and kine…

math.NA2024

On Nonlinear Closures for Moment Equations Based on Orthogonal Polynomials

Eda Yilmaz, Georgii Oblapenko, Manuel Torrilhon

In the present work, an approach to the moment closure problem on the basis of orthogonal polynomials derived from Gram matrices is proposed. Its properties are studied in the cont…

physics.flu-dyn2024

Entropy-conservative high-order methods for high-enthalpy gas flows

Georgii Oblapenko, Manuel Torrilhon

A framework for numerical evaluation of entropy-conservative volume fluxes in gas flows with internal energies is developed, for use with high-order discretization methods. The nov…