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  1. 2025

  2. Surrogate Neural Network Models of Atmospheric Chemistry From the Output of Data Assimilation Algorithms

    Tarraf, D., Shaabo, S., Penenko, A. & Dultseva, G., 5 Nov 2025, Proceedings - 2025 21st International Asian School-Seminar on Optimization Problems of Complex Systems (OPCS). Institute of Electrical and Electronics Engineers Inc., p. 1-5 5 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  3. 2024

  4. Optimization of Computations in Simulating Chemical Kinetics Using Surrogate Neural Models

    Kazakov, G., Ivanov, K., Penenko, A. & Marchenko, M., 2024, Proceedings - 2024 20th International Asian School-Seminar on Optimization Problems of Complex Systems, OPCS 2024. Institute of Electrical and Electronics Engineers Inc., p. 60-64 5 p. (Proceedings - 2024 20th International Asian School-Seminar on Optimization Problems of Complex Systems, OPCS 2024).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  5. 2022

  6. Comparison of inverse and data assimilation problems in the inverse modeling of atmospheric chemistry

    Penenko, A. V., Konopleva, V. & Penenko, V. В., 2022, Proceedings Volume 12341, 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. The International Society for Optical Engineering, Vol. 12341. p. 210 123416O

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

  7. Sensitivity Operator-Based Approach to the Interpretation of Heterogeneous Air Quality Monitoring Data

    Penenko, A., Penenko, V., Tsvetova, E., Gochakov, A., Pyanova, E. & Konopleva, V., 2022, Large-Scale Scientific Computing - 13th International Conference, LSSC 2021, Revised Selected Papers. Lirkov, I. & Margenov, S. (eds.). 1 ed. Springer, p. 164-171 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13127 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  8. 2021

  9. International Conference «Marchuk Scientific Readings 2021» (MSR-2021)

    Mikhailov, G. A., Kabanikhin, S. I., Laevsky, Y. M., Penenko, V. V., Glinsky, B. M., Zagorulko, Y. A., Shishlenin, M. A., Podkolodnyy, N. L. & Penenko, A. V., 13 Dec 2021, In: Journal of Physics: Conference Series. 2099, 1, 011001.

    Research output: Contribution to journal › Editorial › peer-review

  10. Sensitivity operator framework for analyzing heterogeneous air quality monitoring systems

    Penenko, A., Penenko, V., Tsvetova, E., Gochakov, A., Pyanova, E. & Konopleva, V., Dec 2021, In: Atmosphere. 12, 12, 1697.

    Research output: Contribution to journal › Article › peer-review

  11. Numerical study of the coefficient identification algorithm based on ensembles of adjoint problem solutions for a production-destruction model

    Penenko, A. V., Mukatova, Z. S. & Salimova, A. B., 1 Aug 2021, In: International Journal of Nonlinear Sciences and Numerical Simulation. 22, 5, p. 581-592 12 p.

    Research output: Contribution to journal › Article › peer-review

  12. International conference «Marchuk scientific readings 2020» (MSR-2020), dedicated to the 95th anniversary of the birthday of Academician Guri I. Marchuk

    Mikhailov, G. A., Kabanikhin, S. I., Laevskii, Y. M., Penenko, V. V., Glinsky, B. M. & Penenko, A. V., 4 Jan 2021, In: Journal of Physics: Conference Series. 1715, 1, 011001.

    Research output: Contribution to journal › Editorial › peer-review

  13. Parallel speedup analysis of an adjoint ensemble-based source identification algorithm

    Penenko, A. & Gochakov, A., 4 Jan 2021, In: Journal of Physics: Conference Series. 1715, 1, 012072.

    Research output: Contribution to journal › Conference article › peer-review

  14. Numerical Comparison of the Adjoint Problem-based and Derivative-free Algorithms on the Coefficient Identification Problem for a Production-Loss Model

    Penenko, A., Konopleva, V. & Bobrovskikh, A., 2021, Proceedings - 2021 17th International Asian School-Seminar "Optimization Problems of Complex Systems", OPCS 2021. Institute of Electrical and Electronics Engineers Inc., p. 78-83 6 p. (Proceedings - 2021 17th International Asian School-Seminar "Optimization Problems of Complex Systems", OPCS 2021).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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