Predicting parameters of a model cuprate superconductor using machine learning

Computational Materials Science 2026 Open access

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Authors: V. A. Ulitko, D. N. Yasinskaya, S. A. Bezzubin, A. A. Koshelev, Yu. D. Panov
DOI: 10.1016/j.commatsci.2026.114621
Cited by: 0
References: 34

Fields of Study & Subjects

Machine Learning in Materials Science Model Reduction and Neural Networks Physics of Superconductivity and Magnetism

Publication details

Journal / source
Computational Materials Science
Publisher
Elsevier BV
Volume
268
Pages
114621–114621
Publication date
19 March 2026
Language
EN