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physics.comp-ph2025
Predicting parameters of a model cuprate superconductor using machine learning
V. A. Ulitko, D. N. Yasinskaya, S. A. Bezzubin +2
The computational complexity of calculating phase diagrams for multi-parameter models significantly limits the ability to select parameters that correspond to experimental data. Th…
cond-mat.supr-con2025
Modified Monte Carlo method with the heat bath algorithm for a model cuprate
Yu. D. Panov, V. A. Ulitko, D. N. Yasinskaya +1
The results of numerical simulation using a modified Monte Carlo method with a heat bath algorithm for the pseudospin model of cuprates are presented. The temperature phase diagram…