Машинне навчання в термоелектричному матеріалознавстві

Authors

  • M.M. Korop Іnstitute of Thermoelectricity of the NAS and MES of Ukraine, 1, Nauky str., Chernivtsi, 58029, Ukraine

Keywords:

machine learning methods, thermoelectric materials science

Abstract

The paper presents machine learning methods and their application in thermoelectric materials science. The results of their application, strong points and application areas are shown. The difficulties that arise in the process of predicting the properties of thermoelectric materials and ways to overcome them were taken into account. Bibl. 30, Fig. 1, Tabl. 2.

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How to Cite

Korop, M. (2024). Машинне навчання в термоелектричному матеріалознавстві. Journal of Thermoelectricity, (1), 44–54. Retrieved from http://jte.ite.cv.ua/index.php/jt/article/view/5

Issue

No. 1 (2023): Journal of Thermoelectricity

Section

Materials research