1. Empowering Government Efficiency Through Civic Intelligence: Merging Artificial Intelligence and Blockchain for Smart Citizen Proposals

    Nechesov, A. & Ruponen, J., 23 Dec 2024, In: Technologies. 12, 12, 271.

    Research output: Contribution to journalArticlepeer-review

  2. Enhanced bi-LSTM for Modeling Nonlinear Amplification Dynamics of Ultra-Short Optical Pulses

    Saraeva, K. & Bednyakova, A., Feb 2024, In: Photonics. 11, 2, 126.

    Research output: Contribution to journalArticlepeer-review

  3. Features of Microwave Photoconductance of Quantum Point Contact and Silicon Field-Effect Transistor

    Jaroshevich, A. S., Tkachenko, V. A., Kvon, Z. D., Kuzmin, N. S., Tkachenko, O. A., Baksheev, D. G., Marchishin, I. V., Bakarov, A. K., Rodyakina, E. E., Antonov, V. A., Popov, V. P. & Latyshev, A. V., Sept 2024, In: Bulletin of the Russian Academy of Sciences: Physics. 88, 9, p. 1505-1512 8 p.

    Research output: Contribution to journalArticlepeer-review

  4. First Observation of Nickel Nitrides During the Interaction of NiCu Alloys with Melamine and g-C3N4 in a Closed Volume

    Кенжин, Р. М., Комаровских, А., Капишников, А. В., Афонникова, С. Д., Бауман, Ю., Мишаков, И. В., Володин, А. М. & Ведягин, А. А., 2025, In: Materials Letters. 383, 137976.

    Research output: Contribution to journalArticlepeer-review

  5. Functional Variant of Polynomial Analogue of Gandy’s Fixed Point Theorem

    Nechesov, A. & Goncharov, S., Nov 2024, In: Mathematics. 12, 21, 3429.

    Research output: Contribution to journalArticlepeer-review

  6. Gene networks and metabolomic screening analysis revealed specific pathways of amino acid and acylcarnitine profile alterations in blood plasma of patients with Parkinson’s disease and vascular parkinsonism

    Makarova, A. A., Melnikova, P. M., Rogachev, A. D., Demenkov, P. S., Ivanisenko, T. V., Predtechenskaya, E. V., Karmanov, S. Y., Koval, V. V., Pokrovsky, A. G., Lavrik, I. N., Kolchanov, N. A. & Ivanisenko, V. A., 2024, In: Вавиловский журнал генетики и селекции. 28, 8, p. 927-939 13 p.

    Research output: Contribution to journalArticlepeer-review

  7. Harnessing Ensemble Machine Learning Models for Timely Diagnosis of Breast Cancer Metastasis: A Case Study on CatBoost, XGBoost, and LGBM

    Luu, M. S. K., Banerjee, S., Pavlovskiy, E. N. & Tuchinov, B. N., 2024, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, p. 2320-2325 6 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  8. High-speed droplet impact on solid surfaces: review on the prospects of modeling fluid flow

    Vozhakov, I. S., Misyura, S. Y., Morozov, V. S., Piskunov, M. V., Piskunova, A. E., Orlova, E. G. & Mullyadzhanov, R. I., 3 Mar 2025, In: Experiments in Fluids. 66, 3, 65.

    Research output: Contribution to journalReview articlepeer-review

  9. Impact of lanthanum doping on the electronic structure of oxygen vacancies in hafnium oxide

    Perevalov, T. V. & Islamov, D. R., 30 Jan 2024, In: Computational Materials Science. 233, 5 p., 112708.

    Research output: Contribution to journalArticlepeer-review

  10. In situ reflection electron microscopy for the surface processes analysis during sublimation and epitaxial growth of layered metal chalcogenides

    Ponomarev, S. A., Rogilo, D. I., Zakhozhev, K. E., Nasimov, D. A., Kurus, N. N., Gutakovskii, A. K., Kokh, K. A., Milekhin, A. G., Sheglov, D. V. & Latyshev, A. V., 2024, In: Modern Electronic Materials. 10, 4, p. 251-261 11 p.

    Research output: Contribution to journalArticlepeer-review

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