Dataset for "Mo-Si alloys studied by atomistic computer simulations using a novel machine-learning interatomic potential: Thermodynamics and interface phenomena"

LENCHUK, OLENA;Rohrer, Jochen;Albe, Karsten

Description

This dataset was used to fit a general purpose machine-learning interatomic potential for Mo-Si alloys based on the Atomic Cluster Expansion (ACE) formalism. It supports the paper "Mo-Si alloys studied by atomistic computer simulations using a novel machine-learning interatomic potential: Thermodynamics and interface phenomena".

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.3

FAIR Score

44%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Materials Chemistry

Field

Materials Science

Domain

Physical Sciences

Confidence Score

100%

Source

Open Alex

Normalization Factors

FT

50.00

CTw

1.00

MTw

1.00