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

4 citations · 9 across the 5 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci2026

Soft and chiral phonons in chiral phase of K3NiO2

Hong Dang Nguyen, Fedir Borodavka, Miroslav Lebeda +6

Raman scattering measurements confirmed the theoretical prediction that the structural phase transition from the achiral tetragonal to the chiral tetragonal phase, which occurs nea…

cond-mat.mtrl-sci2026

Rust-accelerated powder X-ray diffraction simulation for high-throughput and machine-learning-driven materials science

Miroslav Lebeda, Jan Drahokoupil, Petr Veřtát +1

High-throughput powder X-ray diffraction (XRD) simulations are a key prerequisite for generating large datasets used in the development of machine-learning models for XRD-based mat…

cond-mat.mtrl-sci2026

Interactive Analysis of Static, Dynamic, and Crystalline SDTrimSP Simulations: Application to Nitrogen Ion Implantation into Vanadium

Miroslav Lebeda, Jan Drahokoupil, Vojtěch Smola +1

SDTrimSP is a widely used Monte Carlo simulation code based on the Binary Collision Approximation (BCA) for modeling ion implantation and ion-solid interaction processes. While an…

cond-mat.mtrl-sci20264 cited

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-sci20263 cited

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-sci20262 cited

SimplySQS: An Automated and Reproducible Workflow for Special Quasirandom Structure Generation with ATAT

Miroslav Lebeda, Jan Drahokoupil, Petr Vlčák +2

The special quasirandom structure (SQS) method is widely used for modeling disordered materials under periodic boundary conditions, with the ATAT mcsqs module being one of the most…