Machine Learning-Based Predictions of Power Factor for Half-Heusler Phases

Machine Learning-Based Predictions of Power Factor for Half-Heusler Phases

A support vector regression model for predictions of the thermoelectric power factor of half-Heusler phases was implemented based on elemental features of ions. The training subset was composed of 53 hH phases with 18 valence electrons. The target values were calculated within the density functional...

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Bibliographic Details
Main Authors: Kaja Bilińska, Maciej J. Winiarski
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Crystals
Subjects:
half-Heusler alloys
thermoelectric materials
machine learning
Support Vector Regression
Online Access:https://www.mdpi.com/2073-4352/14/4/354

Internet

https://www.mdpi.com/2073-4352/14/4/354

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