24 citations · 209 across the 19 of their papers we have counts for
19 papers
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…
Unsupervised Machine Learning Phase Classification for Falicov-Kimball Model
Lukáš Frk, Pavel Baláž, Elguja Archemashvili +1
We apply various unsupervised machine learning methods for phase classification to investigate the finite-temperature phase diagram of the spinless Falicov-Kimball model in two dim…
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…
Theory of superdiffusive spin transport in noncollinear magnetic multilayers
Pavel Baláž, Maciej Zwierzycki, Francesco Cosco +3
Ultrafast demagnetization induced by femtosecond laser pulses in thin metallic layers is caused by the outflow of spin-polarized hot electron currents describable by the superdiffu…
Nonequilibrium dynamics in a spin valve with noncollinear magnetization
Rudolf Smorka, Pavel Baláž, Michael Thoss +1
We utilize a hybrid quantum-classical equation of motion approach to investigate the spin dynamics and spin-transfer torque in a spin valve under bias voltage. We show that the int…
Magnetic properties of Mn-doped BiSe topological insulators: ab initio calculations
K. Carva, P. Baláž, J. Šebesta +7
Doping BiSe by magnetic ions represents an interesting problem since it may break the time reversal symmetry needed to maintain the topological insulator character. Mn dopa…