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20242026
most citedk-Means Clustering in Fingerprint-Based Configuration Selection for Fitting Interatomic Potentials

2 citations · 2 across the 2 of their papers we have counts for

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4 papers

cond-mat.mtrl-sci20262 cited

k-Means Clustering in Fingerprint-Based Configuration Selection for Fitting Interatomic Potentials

Miroslav Lebeda, Jan Drahokoupil, Ludvík Löbel +1

In this study, we present a method for selecting an arbitrary number of distinct configurations from a larger data set by applying k-means clustering to atomistic configuration fin…

cond-mat.mtrl-sci2025

Revealing interstitial energetics in Ti-23Nb-0.7Ta-2Zr gum metal base alloy via universal machine learning interatomic potentials

Miroslav Lebeda, Jan Drahokoupil, Veronika Mazáčová +1

Understanding the behavior of light interstitial elements in multicomponent alloys remains challenging due to the complexity of local chemical environments and the high computation…

cond-mat.mtrl-sci2025

Lattice Parameters and Bulk Modulus of SrTiMnO Perovskites: A Comparison of Exchange-Correlation Functionals with Experimental Validation

Miroslav Lebeda, Jan Drahokoupil, Stanislav Kamba +4

We assessed four exchange-correlation functionals (LDA CA-PZ, GGA parametrized by PBE, PBEsol, and WC) in predicting the lattice parameters of SrTiMn$_{\mathit{x}}…

cond-mat.mtrl-sci2024

The influence of nitrogen ion implantation on the microstructure and chemical composition of a thin layer on the biodegradable Zn-0.8Mg-0.2Sr substrate

Jan Pinc, Petr Vlcak, Miroslav Lebeda +15

In this research, the influence of the N+ ion implantation process on the microstructure of a biodegradable Zn-0.8Mg-0.2Sr alloy was investigated using various experimental techniq…