Author

Ivan Plokhikh

Observed names: I. A. Plokhikh, I.A. Plokhikh, Ivan A. Plohih, Plokhikh, Ivan

Institution: Novosibirsk State University

Observed institutions: Russian Academy of Sciences, Novosibirsk State University, Deutsches Elektronen-Synchrotron DESY, Sobolev Institute of Mathematics, Institute for Nuclear Research, Innopolis University, Siberian Branch of the Russian Academy of Sciences, Institute of Thermophysics, Budker Institute of Nuclear Physics, Irkutsk State University

ORCID: 0000-0002-9819-4645

Observed ORCID: 0000-0002-9819-4645

OpenAlex ID: A5064969945

Energy spectra of elemental groups of cosmic rays with the KASCADE experiment data and machine learning

2024 · M.Yu. Kuznetsov, N.A. Petrov, et al. · Journal of Cosmology and Astroparticle Physics · 15

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Advancing graph neural network architecture for fluid flow and heat transfer surrogate modeling: Variable boundary conditions and geometry

2024 · Vladislav Travnikov, Ivan Plokhikh, et al. · Physics of Fluids · 12

Data-Driven Prediction of Unsteady Vortex Phenomena in a Conical Diffuser

2023 · Sergey Skripkin, Daniil Suslov, et al. · Energies · 7

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New insights from old cosmic rays: A novel analysis of archival KASCADE data

2021 · Dmitriy Kostunin, Ivan Plokhikh, et al. · International Cosmic Ray Conference · 6

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Reconstruction of sub-threshold events of cosmic-ray radio detectors using an autoencoder

2021 · Pavel Bezyazeekov, Dmitriy Shipilov, et al. · International Cosmic Ray Conference · 5

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Methods of machine learning for the analysis of cosmic rays mass composition with the KASCADE experiment data

2024 · M.Y. Kuznetsov, N.A. Petrov, et al. · Journal of Instrumentation · 4

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Pattern recognition for bubbly flows with vapor or gas-liquid interfaces using U-Net architecture

2020 · Alexander Seredkin, Ivan Plokhikh, et al. · Science and Artificial Intelligence Conference (S.A.I.ence) · 4

Predicting District Heating Networks Fault Location with Graph Neural Networks

2026 · Ivan Plokhikh, Dmitriy Pushkarev, et al. · Energies · 1

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Measurable Metrics of Mesenchymal Stem Cell Aging

2025 · D.A. Kalashnikova, S.E. Romanov, et al. · Современные технологии в медицине · 1

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Towards mass composition study with KASCADE using deep neural networks

2023 · Vladimir Sotnikov, Mikhail Kuznetsov, et al. · European Cosmic Ray Symposium (ECRS) · 1

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Parametric RANS Simulation of a Cavitation Flow in the Channel of a Control Valve Cage

2023 · E. I. Ivashchenko, V. A. Ivashchenko, et al. · Journal of Applied and Industrial Mathematics

Search for optimal deep neural network architecture for gamma ray search at KASCADE

2023 · Nikita Petrov, Mikhail Kuznetsov, et al. · European Cosmic Ray Symposium (ECRS)

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Flow Patterns of Liquid-liquid Flows in Microchannels: Dimensional Analysis and Neural Network Approach

2023 · Anna A. Yagodnitsyna, Ivan A. Plohih, et al. · International Heat Transfer Conference (IHTC)

Prediction of Flow Patterns of Liquid-liquid Flows in Tshaped Microchannels Using Machine Learning Approaches

2022 · Anna A. Yagodnitsyna, Ivan A. Plohih, et al. · International Symposium on Convective Heat and Mass Transfer (CONV)

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Using Modern Machine Learning Methods on KASCADE Data for Outreach and Education

2021 · Victoria Tokareva, Dmitriy Kostunin, et al. · International Workshop on Deep Learning in Computational Physics (DLCP)

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Works count: 20

Citation count: 56

H-index: 5

I10-index: 2