University Structure

Laboratory for Intelligent Technologies in Infochemistry

Ekaterina Skorb

The Laboratory for Intelligent Technologies in Infochemistry was set up in the Research Center “Strong AI in Industry” to produce advanced digital production technologies, robotic systems, novel materials, and systems for big data processing, machine learning, and artificial intelligence (AI).

Tasks

  • analyze intelligent infochemistry technologies for industrial applications;

  • partake in international scientific and technical activities;

  • attract young scholars to science;

  • supervise Master’s and PhD students and DSc candidates.

Projects

The study of intelligent technologies in infochemistry for industrial purposes (September 29, 2021 - December 31, 2023).

Accomplishments

We have investigated the effect of  ultrasound on the shape and size of cavitation bubbles to discover that their shape depends on ultrasound frequency. 

Furthermore, we analyzed images of cavitation bubbles in water-alcohol solutions of varied concentrations and classified them utilizing artificial intelligence. The resulting algorithm was trained to determine the concentration of alcohol in an aqueous solution following the results of the image analysis. 

It was also proven that a brass-based solid body changes its roughness and chemical composition due to cavitation when exposed to ultrasonic treatment with radiation of different amplitudes. The analysis of the formed fractions by the electrochemical method showed that one of the fractions was significantly enriched with brass and another one with zinc. 

By studying a large amount of data obtained with the help of atomic force microscopy and processed with mathematical methods, the researchers were able to analyze the surface roughness of brass samples, calculate the parameters of this roughness, the distribution of extreme points, and draw up resistance charts and barcodes.

Available equipment

  • X-ray diffractometer D2 PHASER

  • Industrial collaborative robot YuMi IRB 14000

  • Polarizing microscope Olympus BX51

  • Inverted microscope Leica DMi8

  • Electrochemical complex SVET/SIET/STELLARNET RAMAN

  • Quartz microbalance EQCM 10M

  • Alloy-based installation eGaIn

  • Computing cluster

  • Microplate reader MR-96A

  • Portable water activity meter Pawkit, etc.

Partners

Omsk Oil Refinery, Gazprom Neft, and RUSAL.

Publications

  • Sabbouh, M., Nikitina, A. A., Rogacheva, E., Kraeva, L. A., Ulasevich, S. A., Skorb, E. V., & Nosonovsky, M. (2021). Separation of motions and vibrational separation of fractions for biocide brass. Ultrasonics Sonochemistry, 80, 105817. 

  • Zhukov, M. V., Hasan, S., Nesterov, P., Sabbouh, M., Burdulenko, O., Skorb, E. V., & Nosonovsky, M. (2021). Topological Data Analysis of Nanoscale Roughness in Brass Samples. ACS Applied Materials & Interfaces, 14(1), 2351–2359. 

  • Korolev, I., Aliev, T. A., Orlova, T., Ulasevich, S. A., Nosonovsky, M., & Skorb, E. V. (2022). When bubbles are not spherical: artificial intelligence analysis of ultrasonic cavitation bubbles in solutions of varying concentrations. The Journal of Physical Chemistry B, 126(16), 3161-3169.

 
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