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Title:Learning macroscopic equations of motion from dissipative particle dynamics simulations of fluids
Authors:ID Jug, Matevž (Author)
ID Potisk, Tilen (Author)
ID Svenšek, Daniel (Author)
ID Praprotnik, Matej (Author)
Files:URL URL - Source URL, visit https://www.sciencedirect.com/science/article/pii/S0045782524006340?via%3Dihub
 
.pdf PDF - Presentation file, download (2,13 MB)
MD5: 1A2E6FAC6219043C13B38D13E4B7E0B1
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo KI - National Institute of Chemistry
Keywords:sparsity, model selection, particle simulations, macroscopic dynamics, regression
Publication status:Published
Publication version:Version of Record
Publication date:01.12.2024
Publisher:Elsevier
Year of publishing:2024
Number of pages:str. 1-15
Numbering:Vol. 432, št. prispevka 117379
Source:Computer Methods in Applied Mechanics and Engineering
PID:20.500.12556/DiRROS-20473 New window
UDC:620.1/.2
ISSN on article:1879-2138
DOI:10.1016/j.cma.2024.117379 New window
COBISS.SI-ID:208896515 New window
Copyright:© 2024 The Authors. Published by Elsevier B.V.
Note:Nasl. z nasl. zaslona; Opis vira z dne 25. 9. 2024;
Publication date in DiRROS:26.09.2024
Views:340
Downloads:746
Metadata:XML DC-XML DC-RDF
:
JUG, Matevž, POTISK, Tilen, SVENŠEK, Daniel and PRAPROTNIK, Matej, 2024, Learning macroscopic equations of motion from dissipative particle dynamics simulations of fluids. Computer Methods in Applied Mechanics and Engineering [online]. 2024. Vol. 432, no. prispevka 117379, p. 1–15. [Accessed 22 April 2025]. DOI 10.1016/j.cma.2024.117379. Retrieved from: https://dirros.openscience.si/IzpisGradiva.php?lang=eng&id=20473
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Record is a part of a journal

Title:Computer Methods in Applied Mechanics and Engineering
Publisher:Elsevier
ISSN:1879-2138
COBISS.SI-ID:22956805 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0002
Name:Večskalno modeliranje in simulacija mehke in biološke snovi v in izven ravnovesja
Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J1-50035
Name:Odkrivanje makroskopskih modelov kompleksnih tekočin z uporabo poenostavitvenih metod
Funder:EC - European Commission
Funding programme:H2020
Project number:885155
Name:Multiscale modeling and simulation approaches for biomedical ultrasonic applications
Acronym:MULTraSonicA

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:materiali, simulacije, dinamika, regresija


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