Title: MaMiCo: Non-local means and POD filtering with flexible data-flow for two-way coupled molecular-continuum HPC flow simulation
Authors: Jarmatz, Piet 
Maurer, Felix
Wittenberg, Helene 
Neumann, Philipp 
Language: en
Subject (DDC): DDC::500 Naturwissenschaften und Mathematik
DDC::000 Informatik, Informationswissenschaft, allgemeine Werke
Issue Date: May-2022
Document Type: Article
Journal / Series / Working Paper (HSU): Journal of computational science 
Volume: 61
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.
Organization Units (connected with the publication): High Performance Computing 
URL: https://api.elsevier.com/content/abstract/scopus_id/85125528669
ISSN: 18777503
DOI: 10.1016/j.jocs.2022.101617
Appears in Collections:Publications of the HSU Researchers

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