Machine learning based prediction of specific heat capacity for half-Heusler compounds
Half-Heusler alloys are among the most emerging families due to their different properties in topological insulators, superconductors, and magnetic behavior, which are directly applicable to developing low-cost and high-power spintronics devices. This study investigates the predictive performance of...
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Main Authors: | Laxman Chaudhary, Keshab Chaudhary, Ambika Shahi, Kedar Nath Jaiswal, Dipendra Prasad Kalauni, Se-Hun Kim, Madhav Prasad Ghimire |
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Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2025-01-01
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Series: | AIP Advances |
Online Access: | http://dx.doi.org/10.1063/5.0239714 |
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