4 papers
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…
Identifying internal patterns in (1+1)-dimensional directed percolation using neural networks
Danil Parkhomenko, Pavel Ovchinnikov, Konstantin Soldatov +2
In this paper we present a neural network-based method for the automatic detection of phase transitions and classification of hidden percolation patterns in a (1+1)-dimensional rep…
Hierarchy of percolation patterns in a kinetic replication model
P. Ovchinnikov, K. Soldatov, V. Kapitan +1
The model of a one-dimensional kinetic contact process with parallel update is studied by the Monte Carlo simulations and finite-size scaling. The goal was to reveal the structure…
Towards Hardware Implementation of Double-Layer Perceptron Based on Metal-Oxide Memristive Nanostructures
A. N. Mikhaylov, O. A. Morozov, P. E. Ovchinnikov +8
Construction and training principles have been proposed and tested for an artificial neural network based on metal-oxide thin-film nanostructures possessing bipolar resistive switc…