activity
20182026
most cited-Multilevel Monte Carlo Methods for Uncertainty Quantification of Compressible Flows

8 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

physics.space-ph2026

Multifidelity Monte Carlo for Efficient Estimation of Drag-Coefficient Statistics in Rarefied Satellite Aerodynamics

Jovan Boskovic, Marcel Pfeiffer, Marcel Pfeifer +1

Very-low-Earth-orbit analyses require reliable uncertainty estimates for the aerodynamic drag coefficient, but repeated direct simulation Monte Carlo (DSMC) evaluations are expensi…

math.NA2026

h-Adaptive FV Subcell Shock-Capturing for DGSEM on Heterogeneous Curvilinear Meshes

Anna Schwarz, Jens Keim, Christian Rohde +1

High-order methods offer superior dispersion and dissipation properties compared to low-order schemes but require robust stabilization for discontinuities. To ensure stability, loc…

physics.flu-dyn2025

Tackling Compressible Turbulent Multi-Component Flows with Dynamic hp-Adaptation

Pascal Mossier, Philipp Oestringer, Jens Keim +3

In this paper, we present an hp-adaptive hybrid Discontinuous Galerkin/Finite Volume method for simulating compressible, turbulent multi-component flows. Building on a previously e…

math.NA2024

Numerical Simulation of Phase Transition with the Hyperbolic Godunov-Peshkov-Romenski Model

Pascal Mossier, Steven Jöns, Simone Chiocchetti +2

In this paper, a thermodynamically consistent solution of the interfacial Riemann problem for the first-order hyperbolic continuum model of Godunov, Peshkov and Romenski (GPR model…

math.NA2018★ 8 cited

-Multilevel Monte Carlo Methods for Uncertainty Quantification of Compressible Flows

A. Beck, J. Dürrwächter, T. Kuhn +3

We propose a novel -multilevel Monte Carlo method for the quantification of uncertainties in the compressible Navier-Stokes equations, using the Discontinuous Galerkin method a…