Machine learning modeling of lattice constants for half-Heusler alloys
The Gaussian process regression model is developed as a machine learning tool to find statistical correlations among lattice constants, a0, of half-Heusler compounds, ionic radii, and Pauling electronegativity of their alloying elements. Nearly 140 half-Heusler samples, containing alloying elements...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2020-04-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0002448 |