4 papers
Application of Machine Learning for the Identification of 2D Colloidal Assemblies: A Case Study on Particles of Distinct Shapes
L. T. Khusainova, S. A. Kolegova, K. S. Kolegov
This work addresses the problem of identifying colloidal monolayer assemblies using particles of various shapes (two-dimensional coatings): spheres, ellipsoids, cuboids, and rods.…
Identification of 2D colloidal assemblies in images: a threshold processing method versus machine learning
L. T. Khusainova, K. S. Kolegov
This paper is devoted to the problem of identification of colloidal assemblies using the example of two-dimensional coatings (monolayer assemblies). Colloidal systems are used in v…
Simulation of charged nanotubes self-assembly during evaporation of a sessile droplet on a substrate
Konstantin S. Kolegov, Irina V. Vodolazskaya, Andrei V. Eserkepov +1
The ability to control the morphology of the nanotube deposit formed during the evaporation of a sessile droplet on a substrate is of theoretical and practical interest. Such depos…
Information system for analysis of nanostructure morphology: Education and research
Ludia T. Khusainova, Konstantin S. Kolegov
The work is devoted to the development of an information system ISANM that will be useful for teaching students and applicable in the work of engineers and researchers for automati…