activity
20172022
most citedDensity Functional Theory Formulation for Fluid Adsorption on Correlated Random Surfaces

20 citations · 21 across the 3 of their papers we have counts for

collaborators

10 papers

cond-mat.soft20221 cited

Analytical solution to the Poisson-Nernst-Planck equations for the charging of a long electrolyte-filled slit pore

Timur Aslyamov, Mathijs Janssen

We study the charging dynamics of a long electrolyte-filled slit pore in response to a suddenly applied potential. In particular, we analytically solve the Poisson-Nernst-Planck (P…

cond-mat.stat-mech2021

Electrolytes structure near electrodes with molecular size roughness

Timur Aslyamov, Konstantin Sinkov, Iskander Akhatov

Understanding the electrodes' surface morphology influence on the ions' distribution is essential for designing the supercapacitors with enhanced energy density characteristics. We…

cond-mat.stat-mech2020

Relation between charging times and storage properties of nanoporous supercapacitors

Timur Aslyamov, Konstantin Sinkov, Iskander Akhatov

Investigating the correlations between dynamic and static storage properties of nanoporous electrodes is beneficial for further progress of supercapacitors-based technologies. Whil…

cond-mat.soft2020

Disjoining pressure oscillations causing height discretization in graphene nanobubbles

Timur Aslyamov, Ekaterina Khestanova, Maria Korneva +3

Recent experiments and computer simulations observe various geometrical formations of nanobubbles in van der Waals heterostructures. Among the well studied dome and tent geometries…

cond-mat.soft2019

Model of graphene nanobubble: combining classical density functional and elasticity theories

T. F. Aslyamov, E. S. Iakovlev, I. Sh. Akhatov +1

A graphene nanobubble consists of a graphene sheet, an atomically flat substrate and a substance enclosed between them. Unlike conventional confinement with rigid walls and a fixed…

cond-mat.mtrl-sci2019

Detailed Characterization of Rough Surfaces for Silica Materials

Timur Aslyamov, Aleksey Khlyupin, Vera Pletneva +1

We propose a new approach to obtain the nanoscale morphology of rough surfaces from low-temperature adsorption experiments. Our method is based on one of the most realistic models…