3 papers
cond-mat.stat-mech2024
Machine Learning Domain Adaptation in Spin Models with Continuous Phase Transitions
Vladislav Chertenkov, Lev Shchur
The main question raised in the article is whether a neural network trained on a spin lattice model in one universality class can be used to test a model in another universality cl…
cond-mat.stat-mech2024
Phase probabilities in first-order transitions using machine learning
Diana Sukhoverkhova, Vyacheslav Mozolenko, Lev Shchur
We set out to explore the possibility of investigating the critical behavior of systems with first-order phase transition using deep machine learning. We propose a machine learning…
cond-mat.dis-nn2024
Influence of anisotropy on the study of critical behavior of spin models by machine learning methods
Diana Sukhoverkhova, Lev Shchur
In this paper, we applied a deep neural network to study the issue of knowledge transferability between statistical mechanics models. The following computer experiment was conducte…