output
19952023
most citedGrain boundaries in ultrafine grained materials processed by severe plastic deformation and related phenomena

542 citations

31 papers

cond-mat.mtrl-sci2023★ 30 cited

Significance of Strain Rate in Severe Plastic Deformation on Steady-State Microstructure and Strength

Kaveh Edalati, Qing Wang, Nariman A. Enikeev +3

The microstructure and mechanical properties of materials saturate to steady states after severe plastic deformation (SPD). Despite the well-known effect of temperature on the stea…

eess.SY2022

Adaptation Strategy for a Distributed Autonomous UAV Formation in Case of Aircraft Loss

Tagir Muslimov

Controlling a distributed autonomous unmanned aerial vehicle (UAV) formation is usually considered in the context of recovering the connectivity graph should a single UAV agent be…

cond-mat.mtrl-sci2022★ 48 cited

A First-Principles Study on the Adsorption of Small Molecules on Arsenene: Comparison of Oxidation Kinetics in Arsenene, Antimonene, Phosphorene and InSe

Andrey A. Kistanov, Salavat Kh. Khadiullin, Sergey V. Dmitriev +1

Arsenene, a new group V two-dimensional (2D) semiconducting material beyond phosphorene and antimonene, has recently gained an increasing attention owning to its various interestin…

cond-mat.mtrl-sci2021★ 7 cited

Plasticity of an extra-strong nanocrystalline stainless steel controlled by the "dislocation-segregation'' interaction

N. A. Enikeev, I. V. Lomakin, M. M. Abramova +4

We study three structurally different states of nanocrystalline 316 steel and show that the state, where boundaries containing excess concentration of alloying elements are combine…

nlin.PS2021★ 17 cited

Equilibration of sinusoidal modulation of temperature in linear and nonlinear chains

Elena A. Korznikova, Vitaly A. Kuzkin, Anton M. Krivtsov +4

The equilibration of sinusoidally modulated distribution of the kinetic temperature is analyzed in the -Fermi-Pasta-Ulam-Tsingou chain with different degrees of nonlinearity and…

eess.SP2019★ 1 cited

Effects of lead position, cardiac rhythm variation and drug-induced QT prolongation on performance of machine learning methods for ECG processing

Marat Bogdanov, Salim Baigildin, Aygul Fabarisova +2

Machine learning shows great performance in various problems of electrocardiography (ECG) signal analysis. However, collecting a dataset for biomedical engineering is a very diffic…