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20132026
most citedSuperfragile glassy dynamics of onecomponent system with isotropic potential: competition of diffusion and frustration

59 citations · 375 across the 26 of their papers we have counts for

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Showing cond-mat.mtrl-sciShow all

9 papers · 1 filter

cond-mat.mtrl-sci2026

Adaptive fine-tuning of foundation models for crystal structure prediction: Discovery of high-pressure phases in the CaFeNi system

N. M. Chtchelkatchev, M. V. Magnitskaya, R. E. Ryltsev

The prediction of crystal structures is a key challenge in chemistry and materials science, but evolutionary crystal structure prediction (CSP) remains computationally expensive be…

cond-mat.mtrl-sci2025

Accuracy and Limitations of Machine-Learned Interatomic Potentials for Magnetic Systems: A Case Study on Fe-Cr-C

E. O. Khazieva, N. M. Chtchelkatchev, R. E. Ryltsev

Machine-learned interatomic potentials (MLIPs) have become the gold standard for atomistic simulations, yet their extension to magnetic materials remains challenging because spin f…

cond-mat.mtrl-sci2023★ 9 cited

Local structure, thermodynamics, and melting curve of boron phosphide at high pressures by deep learning-driven ab initio simulations

N. M. Chtchelkatchev, R. E. Ryltsev, M. V. Magnitskaya +4

Boron phosphide (BP) is a (super)hard semiconductor constituted of light elements, which is promising for high demand applications at extreme conditions. The behavior of BP at high…

cond-mat.mtrl-sci2021

Deep machine learning potentials for multicomponent metallic melts: development, predictability and compositional transferability

R. E. Ryltsev, N. M. Chtchelkatchev

The use of machine learning interatomic potentials (MLIPs) in simulations of materials is a state-of-the-art approach, which allows achieving nearly \textit{ab initio} accuracy wit…

cond-mat.mtrl-sci2018★ 30 cited

Nucleation instability in super-cooled Cu-Zr-Al glass-forming liquids

R. E. Ryltsev, B. A. Klumov, N. M. Chtchelkatchev +1

Special role in computer simulations of supercooled liquid and glasses is played by few general models representing certain classes of real glass-forming systems. Recently, it was…

cond-mat.mtrl-sci2017★ 1 cited

Universal self-assembly of one-component three-dimensional dodecagonal quasicrystals

Roman Ryltsev, Nikolay Chtchelkatchev

Using molecular dynamics simulations, we study computational self-assembly of one-component three-dimensional dodecagonal (12-fold) quasicrystals in systems with two-length-scale p…