P. Zhilyaev

发表

Adhesion energy of ethane–graphite interface: Atomistic study

I. Akhatov, E. Iakovlev, P. Zhilyaev, 2020 .

Modeling of the phase transition inside graphene nanobubbles filled with ethane.

I. Akhatov, E. Iakovlev, P. Zhilyaev, 2019, Physical chemistry chemical physics : PCCP.

Application of neural network for exchange-correlation functional interpolation

P. Zhilyaev, A. Ryabov, 2021, 2112.04881.

Optimization-based approach to the calibration of mesoscale mechanical models for carbon nanotube systems

I. Ostanin, P. Zhilyaev, V. Petrov, 2019, 1905.04400.

Application of two-component neural network for exchange-correlation functional interpolation

I. Akhatov, P. Zhilyaev, A. Ryabov, 2022, Scientific reports.

Disjoining pressure oscillations causing height discretization in graphene nanobubbles

I. Akhatov, E. Khestanova, E. Iakovlev, 2020, 2003.05423.

Atomistic study of the solid state inside graphene nanobubbles

I. Akhatov, E. Iakovlev, P. Zhilyaev, 2017, Scientific Reports.

nablaDFT: Large-Scale Conformational Energy and Hamiltonian Prediction benchmark and dataset.

P. Zhilyaev, P. Strashnov, A. Ryabov, 2022, Physical chemistry chemical physics : PCCP.

Liquid–gas phase transition of Ar inside graphene nanobubbles on the graphite substrate

I. Akhatov, E. Iakovlev, P. Zhilyaev, 2019, Nanotechnology.

Obtaining the state of matter inside graphene nanobubble from its shape

I. Akhatov, E. Iakovlev, P. Zhilyaev, 2019, Journal of Physics: Conference Series.

Comment on “Pushing the frontiers of density functionals by solving the fractional electron problem”

I. S. Bushmarinov, P. Zhilyaev, M. Medvedev, 2022, Science.

Universal shape of graphene nanobubbles on metallic substrate.

A. Walton, P. Zhilyaev, T. Aslyamov, 2022, Physical chemistry chemical physics : PCCP.

Model of graphene nanobubble: Combining classical density functional and elasticity theories.

I. Akhatov, E. Iakovlev, P. Zhilyaev, 2019, The Journal of chemical physics.

Atomistic Modelling and Simulation of Warm Dense Matter. Conductivity and Reflectivity

Vladimir V. Stegailov, Petr Zhilyaev, V. Stegailov, 2013 .

Neural network interpolation of exchange-correlation functional

I. Akhatov, P. Zhilyaev, A. Ryabov, 2019, Scientific Reports.

A. Onufriev, I. Gushchin, P. Zhilyaev, 2021, Journal of chemical theory and computation.

Atomistic Modeling of Grain Boundary Migration in Nickel

I. Akhatov, A. Zhilyaev, M. Korneva, 2020, Advanced Engineering Materials.

Atomistic study of the solid state inside graphene nanobubbles

I. Akhatov, E. Iakovlev, P. Zhilyaev, 2017, Scientific Reports.

Dynamic fracture kinetics, influence of temperature and microstructure in the atomistic model of aluminum

V. Stegailov, A. Kuksin, A. Yanilkin, 2010 .

Warm dense gold: effective ion–ion interaction and ionisation

V. Stegailov, P. Zhilyaev, 2015 .

Ab initio calculation of shocked xenon reflectivity.

V. Stegailov, I. Saitov, G. Norman, 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

Toward large scale modeling of carbon nanotube systems with the mesoscopic distinct element method

Sebastian Eibl, Igor Ostanin, Vitaly A. Kuzkin, 2018 .

Kinetic simulations of laser-induced plume expansion from a copper target into a vacuum or argon background gas based on ab initio calculation of Cu–Cu, Ar–Ar, and Ar–Cu interactions

A. Volkov, V. Petrov, P. Zhilyaev, 2020 .

Atomistic Modeling of Warm Dense Matter in the Two‐Temperature State

Genri E. Norman, Vladimir V. Stegailov, Sergey Starikov, 2013 .

Pressure in electronically excited warm dense metals

V. Stegailov, P. Zhilyaev, P. Zhilyaev, 2015 .

Ab initio calculations of thermal conductivity of metals with hot electrons

Vladimir V. Stegailov, Petr Zhilyaev, V. Stegailov, 2013, Doklady Physics.

Process Parameter Selection for Production of Stainless Steel 316L Using Efficient Multi-Objective Bayesian Optimization Algorithm

S. Evlashin, Y. Kuzminova, P. Zhilyaev, 2023, Materials.