MaMiCo: Non-local means and POD filtering with flexible data-flow for two-way coupled molecular-continuum HPC flow simulation

Publication date
2022-05
Document type
Research article
Author
Maurer, Felix
Wittenberg, Helene
Organisational unit
DOI
URI
Scopus ID
ISSN
Series or journal
Journal of computational science
Periodical volume
61
Peer-reviewed
✅
Part of the university bibliography
✅
Abstract
Noise filtering in fluid dynamics enables stable, strongly-coupled molecular-continuum coupling despite potentially high thermal fluctuations. In this extended version of our conference paper “MaMiCo: Non-local Means Filtering with Flexible Data-Flow for Coupling MD and CFD” (ICCS 2021), we apply Non-Local Means filtering (NLM) in a novel space–time formulation to particle data. Our implementation in the Macro–Micro-Coupling tool (MaMiCo) features a flexible filter chain execution for HPC systems. We test it on 3D simulation data with multiple flow scenarios and continuum solvers, including a coupling to OpenFOAM. Our filtering results demonstrate that NLM not only has an excellent signal-to-noise ratio gain when extracting macroscopic flow information from particle ensembles, but also yields benefits for transient two-way coupling.
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