Data for the publication "Parameter-Efficient Fine-Tuning of Machine-Learning Interatomic Potentials for Phonon and Thermal Properties"
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| Auteurs principaux: | , , |
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| Format: | Recurso digital |
| Langue: | anglais |
| Publié: |
Zenodo
2026
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| _version_ | 1866902009606569984 |
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| author | Grandel, Jonas Benner, Philipp George, Janine |
| author_facet | Grandel, Jonas Benner, Philipp George, Janine |
| contents | <p>This repository provides the Python scripts and the DFT and ML data used in the paper <em>"Parameter-Efficient Fine-Tuning of Machine Learning Interatomic Potentials for Phonon and Thermal Properties".<br><br></em>It enables the reproduction of the main results, including phonon band structures, thermal and elastic properties, and phase transition analysis.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19493836 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Data for the publication "Parameter-Efficient Fine-Tuning of Machine-Learning Interatomic Potentials for Phonon and Thermal Properties" Grandel, Jonas Benner, Philipp George, Janine <p>This repository provides the Python scripts and the DFT and ML data used in the paper <em>"Parameter-Efficient Fine-Tuning of Machine Learning Interatomic Potentials for Phonon and Thermal Properties".<br><br></em>It enables the reproduction of the main results, including phonon band structures, thermal and elastic properties, and phase transition analysis.</p> |
| title | Data for the publication "Parameter-Efficient Fine-Tuning of Machine-Learning Interatomic Potentials for Phonon and Thermal Properties" |
| url | https://doi.org/10.5281/zenodo.19493836 |