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Persistent Identifier
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perma:LIST.0GKHNT |
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Publication Date
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2026-07-06 |
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Title
| Data and software: Heat flux for semi-local machine-learning potentials [* Cross-Reference *] |
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Other Identifier
| DataCite: https://doi.org/10.5281/zenodo.7767431 |
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Author
| Langer, Marcel F. (Machine Learning Group, Technische Universität Berlin)Machine Learning Group, Technische Universität BerlinORCIDhttps://orcid.org/0000-0002-1270-3016
Knoop, Florian (Theoretical Physics Division, Linköping University)
Carbogno, Christian (NOMAD Laboratory at the FHI of the Max-Planck-Gesellschaft and IRIS Adlershof of the Humboldt Universität zu Berlin)
Scheffler, Matthias (NOMAD Laboratory at the FHI of the Max-Planck-Gesellschaft and IRIS Adlershof of the Humboldt Universität zu Berlin)
Rupp, Matthias (Materials Research and Technology Department, Luxembourg Institute of Science and Technology) |
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Point of Contact
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Use email button above to contact.
LIST QDKM (LIST) |
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Description
| This repository contains data, code, and related artefacts supporting the following publication: "Heat flux for semi-local machine-learning potentials" by Marcel F. Langer, Florian Knoop, Christian Carbogno, Matthias Scheffler, and Matthias Rupp arXiv: TBD doi: TBD More details can be found in the main README.md file, and the README.md files in the subfolders. For any further questions, feel free to contact mail@marcel.science, @marceldotsci on Twitter, or @marcel@sigmoid.social. (2023-03-25)
***This entry has been automatically imported via Datacite by LIST harvest scripts. Please refer to https://doi.org/10.5281/zenodo.7767431 for the original and latest version of the dataset and data downloads*** (2025-09-03) |
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Subject
| Physics |
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Keyword
| machine learning
thermal transport |
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Related Publication
| References: (Documents) 10.17172/nomad/2023.03.24-2 https://doi.org/10.17172/nomad/2023.03.24-2
References: (HasVersion) 10.5281/zenodo.7767432 https://doi.org/10.5281/zenodo.7767432 |
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Funding Information
| European Commission: 740233 ("Big-Data Analytics for the Thermal and Electrical Conductivity of Materials from First Principles") |
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Deposit Date
| 2023-03-25 |
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Data Type
| Dataset |