Petr Šesták

collaborators

3 papers

cond-mat.mtrl-sci2026

A high-dimensional neural network potential for finite-temperature phenomena in NiTi martensite

Petr JaroÅ¡, Petr SedlÃ¡k, Petr Å estÃ¡k +3

We present a high-dimensional neural network potential (HDNNP) for the martensitic phase of the NiTi shape-memory alloy trained to density functional theory (DFT) data. A central a…

cond-mat.mtrl-sci2026

The effect of grain boundaries on magnetic exchange interactions in iron

Martin ZelenÃ½, Martin Heczko, Petr Å estÃ¡k +3

This work investigates how grain boundaries (GBs) modify magnetic exchange interactions in bcc iron, with particular focus on the effect of phosphorus segregation. Using density-fu…

cond-mat.mtrl-sci2024

Shear Deformation of Nonmodulated Ni $_{2}$ MnGa Martensite: An Ab Initio Study

Martin Heczko, Petr Å estÃ¡k, HanuÅ¡ Seiner +1

The impact of shear deformation in $(101) [10 1 ˉ]$ system of non-modulated (NM) martensite in Ni $_{2}$ MnGa ferromagnetic shape memory alloy is investigated by means of ab…

A high-dimensional neural network potential for finite-temperature phenomena in NiTi martensite

The effect of grain boundaries on magnetic exchange interactions in iron

Shear Deformation of Nonmodulated Ni2​MnGa Martensite: An Ab Initio Study

Shear Deformation of Nonmodulated Ni $_{2}$ MnGa Martensite: An Ab Initio Study