29 citations · 44 across the 4 of their papers we have counts for
4 papers
Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS as a testbed
Adam Hložný, Ján Brndiar, Ye Luo +1
We designed a procedure to train a machine learning interatomic potential (MLIP) at benchmark-quality quantum Monte Carlo (QMC) accuracy. To avoid the complexities of high-quality…
Character of eigenstates of the 3D disordered Anderson Hamiltonian
J. Brndiar, P. Markos
We study numerically the character of electron eigenstates of the three dimensional disordered Anderson model. Analysis of the statistics of inverse participation ratio as well as…
Generalized DMPK equation for strongly localized regime - numerical solution
J Brndiar, R. Derian, P. Markos
Generalized Dorokhov-Mello-Pereyra-Kumar (GDMPK) equation [K. A. Muttalib and J. R. Klauder, Phys. Rev. Lett. {\bf 82}, 4272 (1999)] has been proposed for the description of the el…
Universality of the metal-insulator transition in three-dimensional disordered systems
J. Brndiar, P. Markos
The universality of the metal-insulator transition in three-dimensional disordered system is confirmed by numerical analysis of the scaling properties of the electronic wave functi…