M. A. Timirgazin, A. K. Arzhnikov
Published 2021-01-20Version 1
The restricted Boltzmann machine (RBM) is used to investigate short-range order in binary alloys. The network is trained on the data collected by Monte Carlo simulations for a simple Ising-like binary alloy model and used to calculate the Warren--Cowley short-range order parameter and other thermodynamic properties. We demonstrate that RBM not only reproduces the order parameters for the alloy concentration at which it was trained, but can also predict them for any other concentrations.
Comments: 7 pages, 10 figures
Identifying Product Order with Restricted Boltzmann Machines
Monte Carlo Simulations of the site-diluted 3d XY model with superexchange interaction: application to Fe[Se$_2$CN(C$_2$H$_5$)$_2$]$_2$Cl -- Zn[S$_2$CN(C$_2$H$_5$)$_2$]$_2$ diluted magnets
Entropy, Free Energy, and Work of Restricted Boltzmann Machines
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