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cond-mat.dis-nn2026
Soft Contrastive Learning for Unsupervised Discovery of Phases of Matter
Vít Beneš, Pavel Baláž, Dmytro Bohdanov +1
A machine learning (ML) framework for phase-diagram construction in condensed matter systems with unknown phase structure is presented. The method combines physically motivated des…
cond-mat.dis-nn2023★ 6 cited
Neural Network Quantum States analysis of the Shastry-Sutherland model
Matěj Mezera, Jana Menšíková, Pavel Baláž +1
We utilize neural network quantum states (NQS) to investigate the ground state properties of the Heisenberg model on a Shastry-Sutherland lattice using the variational Monte Carlo…