3 papers
physics.chem-ph2022
The development of an electrochemical sensor for antibiotics in milk based on machine learning algorithms
Timur A. Aliev, Vadim E. Belyaev, Anastasiya V. Pomytkina +7
Present study is dedicated to the problem of electrochemical analysis of multicomponent mixtures such as milk. A combination of cyclic voltammetry facilities and machine learning t…
physics.app-ph2022
Reaction-diffusion pathways for a programmable nanoscale texture of diamond-SiC composite
Vladimir Ya. Shevchenko, Aleksei I. Makogon, Maxim M. Sychov +2
The diamond-SiC composite has a low density and the highest possible speed of sound among existing materials except for the diamond. The composite is synthesized by a complex exoth…
physics.flu-dyn2022
When bubbles are not spherical: artificial intelligence analysis of ultrasonic cavitation bubbles in solutions of varying concentrations
Ilya Korolev, Timur Aliev, Tetiana Orlova +3
Ultrasonic irradiation of liquids, such as water-alcohol solutions, results in cavitation or the formation of small bubbles. Cavitation bubbles are generated in real solutions with…