| Title: | Learning macroscopic equations of motion from dissipative particle dynamics simulations of fluids |
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| Authors: | ID Jug, Matevž (Author)
ID Potisk, Tilen (Author)
ID Svenšek, Daniel (Author)
ID Praprotnik, Matej (Author) |
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| Files: |  URL - Source URL, visit https://www.sciencedirect.com/science/article/pii/S0045782524006340?via%3Dihub
 PDF - Presentation file, download (2,13 MB)
MD5: 1A2E6FAC6219043C13B38D13E4B7E0B1
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  KI - National Institute of Chemistry
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| Keywords: | sparsity, model selection, particle simulations, macroscopic dynamics, regression |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Publication date: | 01.12.2024 |
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| Publisher: | Elsevier |
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| Year of publishing: | 2024 |
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| Number of pages: | str. 1-15 |
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| Numbering: | Vol. 432, št. prispevka 117379 |
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| Source: | Computer Methods in Applied Mechanics and Engineering |
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| PID: | 20.500.12556/DiRROS-20473  |
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| UDC: | 620.1/.2 |
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| ISSN on article: | 1879-2138 |
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| DOI: | 10.1016/j.cma.2024.117379 |
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| COBISS.SI-ID: | 208896515 |
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| Copyright: | © 2024 The Authors. Published by Elsevier B.V. |
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| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 25. 9. 2024;
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| Publication date in DiRROS: | 26.09.2024 |
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| Views: | 187 |
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| Downloads: | 670 |
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| Metadata: |    |
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