DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jarmatz, Piet | - |
dc.contributor.author | Wittenberg, Helene | - |
dc.contributor.author | Jafari, Vahid | - |
dc.contributor.author | Das Sharma, Amartya | - |
dc.contributor.author | Maurer, Felix | - |
dc.contributor.author | Wittmer, Niklas | - |
dc.contributor.author | Neumann, Philipp | - |
dc.date.accessioned | 2023-03-06T09:05:42Z | - |
dc.date.available | 2023-03-06T09:05:42Z | - |
dc.date.issued | 2022-12-01 | - |
dc.identifier.issn | 2352-7110 | - |
dc.identifier.issn | 2352-7110 | - |
dc.description.abstract | The macro–micro-coupling tool (MaMiCo) is an open source C++ research software framework, designed to create molecular-continuum flow simulations in a modular way, i.e. with exchangeable solvers. It can be used to couple discrete particle dynamics codes with computational fluid dynamics solvers while retaining performance, especially for parallel execution on supercomputers. We present a new version of MaMiCo that extends its functionality by a multitude of new features, notably with dynamic handling of molecular dynamics simulation instances, automated error estimation, coupling interfaces to the community codes ls1 mardyn and OpenFOAM, a Python interface, support for machine learning modules and enhanced two-way coupling. These features of the new MaMiCo version impact several fields of computational science and can be employed to tackle open research questions in the future, such as efficient multiscale numerical simulation of multi-phase flows, or fault tolerance of coupled simulations on large-scale cluster systems. | - |
dc.description.sponsorship | High Performance Computing | - |
dc.language.iso | eng | - |
dc.relation.ispartof | SoftwareX | - |
dc.subject | Coupling | - |
dc.subject | Fluid dynamics | - |
dc.subject | High performance computing | - |
dc.subject | Molecular dynamics | - |
dc.subject | Molecular-continuum | - |
dc.subject | Software design | - |
dc.title | MaMiCo 2.0: An enhanced open-source framework for high-performance molecular-continuum flow simulation | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.softx.2022.101251 | - |
dc.identifier.scopus | 2-s2.0-85141468884 | - |
dcterms.bibliographicCitation.volume | 20 | - |
local.submission.type | only-metadata | - |
dc.type.article | Scientific Article | - |
hsu.peerReviewed | ✅ | - |
item.grantfulltext | none | - |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.fulltext_s | No Fulltext | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | High Performance Computing | - |
crisitem.author.dept | High Performance Computing | - |
crisitem.author.dept | High Performance Computing | - |
crisitem.author.dept | High Performance Computing | - |
crisitem.author.parentorg | Fakultät für Maschinenbau und Bauingenieurwesen | - |
crisitem.author.parentorg | Fakultät für Maschinenbau und Bauingenieurwesen | - |
crisitem.author.parentorg | Fakultät für Maschinenbau und Bauingenieurwesen | - |
crisitem.author.parentorg | Fakultät für Maschinenbau und Bauingenieurwesen | - |
Appears in Collections: | 3 - Publication references (without fulltext) |
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