4 papers
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…
Markov chains for the analysis of states of one-dimensional spin systems
D. N. Yasinskaya, Y. D. Panov
We analyze frustrated states of the one-dimensional dilute Ising chain with charged interacting impurities of two types with mapping of the system to some Markov chain. We perform…
Thermodynamic and magnetic properties of the Ising model with nonmagnetic impurities
D. N. Yasinskaya, Yu. D. Panov
We consider a system of Ising spins s=1/2 with nonmagnetic impurities with charge associated with pseudospin S=1. The charge density is fixed pursuant to the concentration n. Analy…
Frustrations in the ground state of a dilute Ising chain in a magnetic field
Yury Panov
The properties of the ground state of one of the simplest models of frustrated magnetic systems, a dilute Ising chain in a magnetic field, are considered for all values of the conc…