Machine learning models for predicting density and glass transition temperature of chalcogenide glasses: Comparison and validation on novel compositions

Materialia 2026

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Authors: V.A. Klinkov, E.A. Pavlov, А. В. Семенча
DOI: 10.1016/j.mtla.2026.102771
Cited by: 1
References: 18

Fields of Study & Subjects

Phase-change materials and chalcogenides Advanced Thermoelectric Materials and Devices Chalcogenide Semiconductor Thin Films

Publication details

Journal / source
Materialia
Publisher
Elsevier BV
Volume
48
Pages
102771–102771
Publication date
29 May 2026
Language
EN