Научные руководители
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Носоновский Михаил ИосифовичPhD, философские науки nosonovsky@itmo.ru Структурное подразделение: лаборатория интеллектуальных технологий в инфохимии Должность: ведущий научный сотрудник Структурное подразделение: научно-образовательный центр инфохимии Должность: ведущий научный сотрудник Профиль: 1.4.4. - Физическая химия Область интересов: Исследование процессов самоорганизации, вызванной трением, и создание новых парадигм трения Рабочий язык: Русский |
Публикации руководителя
| Выходные данные | Год | Индексирование в БД |
| Breki D., Nosonovsky M. Friction and adhesion of Johansson gauge blocks//Surface Innovations, 2024, Vol. 12, No. 1-2, pp. 18-22 | 2024 | Scopus, Web of Science |
| Zhukov M.V., Aglikov A.S., Sabbukh M., Kozodaev D.A., Aliev T., Ulasevich S.A., Nosonovsky M.I., Skorb E.V. AFM-Topological Data Analysis of Brass after Ultrasonic Surface Modification//ACS Applied Engineering Materials, 2023, Vol. 1, No. 8, pp. 2084–2091 | 2023 | |
| Shityakov S., Aglikov A.S., Skorb E.V., Nosonovsky M. Voronoi Entropy as a Ligand Molecular Descriptor of Protein–Ligand Interactions//ACS Omega, 2023, Vol. 8, No. 48, pp. 46190-46196 | 2023 | Scopus, Web of Science |
| Shityakov S., Skorb E., Nosonovsky M. Folding–unfolding asymmetry and a RetroFold computational algorithm//Royal Society Open Science, 2023, Vol. 10, No. 5, pp. 221594 | 2023 | Scopus, Web of Science |
| Aglikov A.S., Aliev T., Zhukov M.V., Nikitina A.A., Smirnov E., Kozodaev D., Nosonovsky M.I., Skorb E.V. Topological Data Analysis of Nanoscale Roughness of Layer-by-Layer Polyelectrolyte Samples Using Machine Learning//ACS Applied Electronic Materials, 2023, Vol. 5, No. 12, pp. 6955-6963 | 2023 | Scopus, Web of Science |
| Sychov M., Eruzin A., Semenova A., Katashev P., Mjakin S., Zhukov M.V., Aglikov A., Nosonovsky M., Skorb E.V. Deposition of Nanostructured Tungsten Oxide Layers by a New Method: Periodic Modulation of the Deposition Angle//Langmuir, 2023, Vol. 39, No. 35, pp. 12336-12345 | 2023 | Scopus, Web of Science |
| Hasan M., Kordijazi A., Rohatgi P., Nosonovsky M. Machine learning models of the transition from solid to liquid lubricated friction and wear in aluminum-graphite composites//Tribology International, 2022, Vol. 165, pp. 107326 | 2022 | Scopus, Web of Science |
| Hasan M., Wong T., Rohatgi P., Nosonovsky M. Analysis of the friction and wear of graphene reinforced aluminum metal matrix composites using machine learning models//Tribology International, 2022, Vol. 170, pp. 107527 | 2022 | Scopus, Web of Science |
| Zhukov M.V., Hasan M., Nesterov P., Sabbouh M., Burdulenko O.V., Skorb E.V., Nosonovsky M. Topological Data Analysis of Nanoscale Roughness in Brass Samples//ACS Applied Materials and Interfaces, 2022, Vol. 14, No. 1, pp. 2351–2359 | 2022 | Scopus, Web of Science |
| Shevchenko V., Makogon A., Sychov M.M., Nosonovsky M., Skorb E.V. Reaction-Diffusion Pathways for a Programmable Nanoscale Texture of the Diamond-SiC Composite//Langmuir, 2022, Vol. 38, No. 49, pp. 15220-15225 | 2022 | Scopus, Web of Science |
| Tolochko O., Kobykhno I.A., Khashirova S.I., Zhansitov A.A., Breki A.D., Nosonovsky M. Friction and Wear of Polyetheretherketone Samples With Different Melt Flow Indices//Journal of Tribology, 2022, Vol. 144, No. 6, pp. 061705 | 2022 | Scopus, Web of Science |
| Shityakov S., Skorb E.V., Nosonovsky M. Topological bio-scaling analysis as a universal measure of protein folding//Royal Society Open Science, 2022, Vol. 9, No. 7, pp. 220160 | 2022 | Scopus, Web of Science |
| Korolev I.S., Aliev T., 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 | 2022 | Scopus, Web of Science |
| Hasan S., Nosonovsky M. Triboinformatics: machine learning algorithms and data topology methods for tribology//Surface Innovations, 2022, Vol. 10, No. 4-5, pp. 229-242 | 2022 | Scopus, Web of Science |
| Hasan M., Kordijazi A., Rohatgi P., Nosonovsky M. Application of Triboinformatics Approach in Tribological Studies of Aluminum Alloys and Aluminum-Graphite Metal Matrix Composites//Minerals, Metals and Materials Series, 2022, pp. 41-51 | 2022 | Scopus, Web of Science |
| Sabbukh M., Nikitina A.A., Rogacheva E.V., Kraeva L., Ulasevich S.A., Skorb E.V., Nosonovsky M. Separation of motions and vibrational separation of fractions for biocide brass//Ultrasonics Sonochemistry, 2021, Vol. 80, pp. 105817 | 2021 | Scopus, Web of Science |
| Fedorets A., Gabyshev D., Shcherbakov D., Bormashenko E., Dombrovsky L., Nosonovsky M. Vertical oscillations of droplets in small droplet clusters//Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2021, Vol. 628, pp. 127271 | 2021 | Scopus, Web of Science |
| Hasan M., Nosonovsky M. Topological data analysis for friction modeling//EPL, 2021, Vol. 135, No. 5, pp. 56001 | 2021 | Scopus, Web of Science |
| Bormashenko E., Fedorets A., Dombrovsky L., Nosonovsky M. Survival of Virus Particles in Water Droplets: Hydrophobic Forces and Landauer’s Principle//Entropy, 2021, Vol. 23, No. 2, pp. 181 | 2021 | Scopus, Web of Science |
| Frenkel M.L., Fedorets A., Dombrovsky L., Nosonovsky M., Legchenkova I., Bormashenko E. Continuous Symmetry Measure vs Voronoi Entropy of Droplet Clusters//Journal of Physical Chemistry C, 2021, Vol. 125, No. 4, pp. 2431–2436 | 2021 | Scopus, Web of Science |
| Kordijazi A., Behera S., Patel D., Rohatgi P., Nosonovsky M. Predictive Analysis of Wettability of Al–Si Based Multiphase Alloys and Aluminum Matrix Composites by Machine Learning and Physical Modeling//Langmuir, 2021, Vol. 37, No. 12, pp. 3766–3777 | 2021 | Scopus, Web of Science |
| Fedorets A., Dombrovsky L., Shcherbakov D., Frenkel M.L., Bormashenko E., Nosonovsky M. Thermal conditions for the formation of self-assembled cluster of droplets over the water surface//Journal of Physics: Conference Series, 2021, Vol. 2116, No. 1, pp. 012038 | 2021 | Scopus, Web of Science |