Comparative analysis of ternary TiAlNb interatomic potentials: moment tensor vs. deep learning approaches

This dataset (TiAlNb dataset) serves as a benchmark for assessing TiAlNb interatomic potentials. If you have any questions please contact us at [email protected]. For furher details refer to our publication. Please cite this work in case you use the provided dataset.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-27
DOI
https://doi.org/10.5281/zenodo.10639914
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Comparative analysis of ternary TiAlNb interatomic potentials: moment tensor vs. deep learning approaches

Zenodo (CERN European Organization for Nuclear Research)
Bioinformatics and Genomic Networks
article

Comparative analysis of ternary TiAlNb interatomic potentials: moment tensor vs. deep learning approaches

article en

Abstract

This dataset (TiAlNb dataset) serves as a benchmark for assessing TiAlNb interatomic potentials. If you have any questions please contact us at [email protected]. For furher details refer to our publication. Please cite this work in case you use the provided dataset.

Zenodo (CERN European Organization for Nuclear Research)
Universität Hamburg (DE), Helmholtz-Zentrum Hereon (DE), Hamburg University of Technology (DE)
Openalex Percentile: Top 66%
Bioinformatics and Genomic Networks
DOIOpen Access PDFOpenAlex
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Comparative analysis of ternary TiAlNb interatomic potentials: moment tensor vs. deep learning approaches · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS