Journal of Physical Chemistry B, volume 126, issue 16, pages 3161-3169
When Bubbles Are Not Spherical: Artificial Intelligence Analysis of Ultrasonic Cavitation Bubbles in Solutions of Varying Concentrations
Publication type: Journal Article
Publication date: 2022-04-18
Journal:
Journal of Physical Chemistry B
Quartile SCImago
Q1
Quartile WOS
Q3
Impact factor: 3.3
ISSN: 15206106, 15205207
Materials Chemistry
Surfaces, Coatings and Films
Physical and Theoretical Chemistry
Abstract
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 without the use of optical traps making our system as close to real conditions as possible. Under the action of the ultrasound, bubbles can grow, oscillate, and eventually collapse or decompose. We apply the mathematical method of separation of motions to interpret the acoustic effect on the bubbles. While in most situations, the spherical shape of a bubble is the most energetically profitable as it minimizes the surface energy, when the acoustic frequency is in resonance with the natural frequency of the bubble, shapes with the dihedral symmetry emerge. Some of these resonance shapes turn unstable, so the bubble decomposes. It turns out that bubbles in the solutions of different concentrations (with different surface energies and densities) attain different evolution paths. While it is difficult to obtain a deterministic description of how the solution concentration affects bubble dynamics, it is possible to separate images with different concentrations by applying the artificial neural network (ANN) algorithm. An ANN was trained to detect the concentration of alcohol in a water solution based on the bubble images. This indicates that artificial intelligence (AI) methods can complement deterministic analysis in nonequilibrium, near-unstable situations.
Citations by journals
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1
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Pharmaceutics
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Pharmaceutics
1 publication, 50%
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Digital Discovery
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Digital Discovery
1 publication, 50%
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1
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Citations by publishers
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1
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Multidisciplinary Digital Publishing Institute (MDPI)
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Multidisciplinary Digital Publishing Institute (MDPI)
1 publication, 50%
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Royal Society of Chemistry (RSC)
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Royal Society of Chemistry (RSC)
1 publication, 50%
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1
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Korolev I. et al. When Bubbles Are Not Spherical: Artificial Intelligence Analysis of Ultrasonic Cavitation Bubbles in Solutions of Varying Concentrations // Journal of Physical Chemistry B. 2022. Vol. 126. No. 16. pp. 3161-3169.
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Korolev I., Aliev T. A., Orlova T., Ulasevich S. A., Nosonovsky M., Skorb E. V. When Bubbles Are Not Spherical: Artificial Intelligence Analysis of Ultrasonic Cavitation Bubbles in Solutions of Varying Concentrations // Journal of Physical Chemistry B. 2022. Vol. 126. No. 16. pp. 3161-3169.
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TY - JOUR
DO - 10.1021/acs.jpcb.2c00948
UR - https://doi.org/10.1021%2Facs.jpcb.2c00948
TI - When Bubbles Are Not Spherical: Artificial Intelligence Analysis of Ultrasonic Cavitation Bubbles in Solutions of Varying Concentrations
T2 - Journal of Physical Chemistry B
AU - Korolev, Ilya
AU - Aliev, Timur A
AU - Orlova, Tetiana
AU - Ulasevich, Sviatlana A
AU - Nosonovsky, Michael
AU - Skorb, Ekaterina V.
PY - 2022
DA - 2022/04/18 00:00:00
PB - American Chemical Society (ACS)
SP - 3161-3169
IS - 16
VL - 126
SN - 1520-6106
SN - 1520-5207
ER -
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@article{2022_Korolev,
author = {Ilya Korolev and Timur A Aliev and Tetiana Orlova and Sviatlana A Ulasevich and Michael Nosonovsky and Ekaterina V. Skorb},
title = {When Bubbles Are Not Spherical: Artificial Intelligence Analysis of Ultrasonic Cavitation Bubbles in Solutions of Varying Concentrations},
journal = {Journal of Physical Chemistry B},
year = {2022},
volume = {126},
publisher = {American Chemical Society (ACS)},
month = {apr},
url = {https://doi.org/10.1021%2Facs.jpcb.2c00948},
number = {16},
pages = {3161--3169},
doi = {10.1021/acs.jpcb.2c00948}
}
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Korolev, Ilya, et al. “When Bubbles Are Not Spherical: Artificial Intelligence Analysis of Ultrasonic Cavitation Bubbles in Solutions of Varying Concentrations.” Journal of Physical Chemistry B, vol. 126, no. 16, Apr. 2022, pp. 3161-3169. https://doi.org/10.1021%2Facs.jpcb.2c00948.
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