Work

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

Year: 2024

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.10639913

Authors: Anju Chandran, Archa Santhosh, Claudio Pistidda, Paul Jerabek, Roland C. Aydin, Christian J.Cyron

Institutions: Helmholtz-Zentrum Hereon, Hamburg University of Technology

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6948351993

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