activity
20092018
most citedAlgorithm of Amorphous Carbonaceous Nanomaterial Structure Identification with a Joint X-Ray and Neutron Diffraction Data Analysis

4 citations · 10 across the 6 of their papers we have counts for

collaborators

6 papers

math.NA2018★ 3 cited

Numerical Analysis of Automodel Solutions for Superdiffusive Transport

Alexander B. Kukushkin, Vladislav S. Neverov, Petr A. Sdvizhenskii +1

The distributed computing analysis of the accuracy of automodel solutions for the Green's function of a wide class of superdiffusive transport of perturbation on a uniform backgrou…

cond-mat.mtrl-sci2014

A method for diffraction-based identification of annealing-produced restructuring of amorphous fullerene

V. S. Neverov, P. A. Borisova, A. B. Kukushkin +1

A method is suggested for estimation of structural properties of amorphous fullerene and its derivatives produced by vacuum annealing. The method is based on the fitting of the neu…

cond-mat.mtrl-sci2013★ 4 cited

Algorithm of Amorphous Carbonaceous Nanomaterial Structure Identification with a Joint X-Ray and Neutron Diffraction Data Analysis

V. S. Neverov, V. V. Voloshinov, A. B. Kukushkin +1

An algorithm is developed for structure identification of amorphous carbonaceous nanomaterials with a joint x-ray and neutron diffraction data analysis, using the data on the chemi…

physics.comp-ph2011

Numerical Modeling of Electrodynamic Aggregation of Magnetized Nanodust

V. S. Neverov, A. B. Kukushkin

The recent results of applying the parallel numerical code SELFAS-3 to modelling of electrodynamic aggregation of magnetized nanodust are presented. The modelling describes evoluti…

physics.comp-ph2010★ 1 cited

Numerical code SELFAS-3 and electrodynamic aggregation of magnetized nanodust

A. B. Kukushkin, V. S. Neverov

The principles of the parallel numerical code SELFAS-3 are presented. The code modifies previous version of the code to enable parallel computations of electrodynamic aggregation i…

physics.comp-ph2009★ 2 cited

Dynamic percolation of electric conductivity and a trend towards fractal skeletal structuring in a random ensemble of magnetized nanodust

A. B. Kukushkin, N. L. Marusov, V. S. Neverov +3

Numerical modeling of electrodynamic aggregation is carried out for a random ensemble of magnetized nanodust taken as a many body system of strongly magnetized thin rods (i.e., one…