activity
20182025
most citedLarge peaks in the entropy of the diluted nearest-neighbor spin-ice model on the pyrochlore lattice in a [111] magnetic field

13 citations · 49 across the 7 of their papers we have counts for

collaborators

7 papers

physics.comp-ph2025

Optimized Machine Learning Methods for Studying the Thermodynamic Behavior of Complex Spin Systems

Dmitrii Kapitan, Pavel Ovchinnikov, Konstantin Soldatov +2

This paper presents a systematic study of the application of convolutional neural networks (CNNs) as an efficient and versatile tool for the analysis of critical and low-temperatur…

cs.LG2022★ 2 cited

Oil reservoir recovery factor assessment using Bayesian networks based on advanced approaches to analogues clustering

Petr Andriushchenko, Irina Deeva, Anna Bubnova +4

The work focuses on the modelling and imputation of oil and gas reservoirs parameters, specifically, the problem of predicting the oil recovery factor (RF) using Bayesian networks…

cond-mat.dis-nn2021★ 13 cited

Large peaks in the entropy of the diluted nearest-neighbor spin-ice model on the pyrochlore lattice in a [111] magnetic field

Petr Andriushchenko, Konstantin Soldatov, Alexey Peretyatko +4

We study the residual entropy of the nearest-neighbor spin-ice model in a magnetic field along the [111] direction using the Wang-Landau Monte Carlo method, with a special attentio…

cond-mat.dis-nn2021★ 9 cited

Influence of cutoff dipole interaction radius and dilution on phase transition in kagome artificial spin ice

Petr Andriushchenko

The investigations carried out in this paper show the influence of cutoff dipole interaction radius and dilution on the basic thermodynamic characteristics of the kagome artificial…

stat.ML2021

Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks

Irina Deeva, Anna Bubnova, Petr Andriushchenko +4

In this paper, a multipurpose Bayesian-based method for data analysis, causal inference and prediction in the sphere of oil and gas reservoir development is considered. This allows…

physics.comp-ph2018★ 13 cited

Comparison of diluted antiferromagnetic Ising models on frustrated lattices in a magnetic field

Konstantin Soldatov, Alexey Peretyatko, Konstantin Nefedev +1

We study diluted antiferromagnetic Ising models on triangular and kagome lattices in a magnetic field, using the replica-exchange Monte Carlo method. We observe seven and five plat…