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  1. 2024

  2. 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

  3. 2022

  4. 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

  5. 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

  6. 2021

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. Uncertainty-function-based continuation framework in data assimilation algorithms for atmospheric chemistry models

    Penenko, A. V., Konopleva, V. S., Golenko, P. M. & Penenko, V. V., 2021, 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics. Matvienko, G. G. & Romanovskii, O. A. (eds.). The International Society for Optical Engineering, 119168O. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11916).

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

  14. 2020

  15. Algorithms based on sensitivity operators for analyzing and solving inverse modeling problems of transport and transformation of atmospheric pollutants

    Penenko, A., Gochakov, A. & Penenko, V., 22 Dec 2020, In: IOP Conference Series: Earth and Environmental Science. 611, 1, 012032.

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

  16. Source Identification for the Smoluchowski Equation Using an Ensemble of Adjoint Equation Solutions

    Penenko, A. V. & Salimova, A. B., 1 Jun 2020, In: Numerical Analysis and Applications. 13, 2, p. 152-164 13 p.

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

  17. Numerical study of emission sources identification algorithm with joint use of in situ and remote sensing measurement data

    Penenko, A. V., Gochakov, A. V. & Antokhin, P. N., 2020, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics. Matvienko, G. G. & Romanovskii, O. A. (eds.). The International Society for Optical Engineering, 115607I. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11560).

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

  18. 2019

  19. Numerical study of an algorithm for air pollution sources identification with in situ and remote sensing measurement data

    Penenko, A. V., Gochakov, A. V. & Antokhin, P. N., 18 Dec 2019, 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Matvienko, G. G. & Romanovskii, O. A. (eds.). The International Society for Optical Engineering, 6 p. 112085B. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11208).

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

  20. Numerical analysis of an inverse coefficient problem for a chemical transformation model

    Penenko, A. V., Mukatova, Z. S. & Salimova, A. B., 10 Dec 2019, In: IOP Conference Series: Earth and Environmental Science. 386, 1, 012041.

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

  21. Numerical Solution of the Coefficient Inverse Problem for a Production-Destruction Model with Various Adjoint Ensemble Designs

    Penenko, A., Mukatova, Z. & Salimova, A., Aug 2019, 2019 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019. Institute of Electrical and Electronics Engineers Inc., p. 135-139 5 p. 8880222. (2019 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019).

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

  22. Scenario Approach for the Optimization of Regularization Parameters in the Direct Variational Data Assimilation Algorithm

    Penenko, A., Mukatova, Z. & Konopleva, V., Aug 2019, 2019 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019. Institute of Electrical and Electronics Engineers Inc., p. 131-134 4 p. 8880181. (2019 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019).

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

  23. Methods for Studying the Sensitivity of Air Quality Models and Inverse Problems of Geophysical Hydrothermodynamics

    Penenko, V. V., Penenko, A. V., Tsvetova, E. A. & Gochakov, A. V., 1 Mar 2019, In: Journal of Applied Mechanics and Technical Physics. 60, 2, p. 392-399 8 p.

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

  24. Numerical algorithm for morphogen synthesis region identification with indirect image-type measurement data

    Penenko, A., Zubairova, U., Mukatova, Z. & Nikolaev, S., 1 Feb 2019, In: Journal of Bioinformatics and Computational Biology. 17, 1, p. 1940002 18 p., 1940002.

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

  25. A Newton–Kantorovich Method in Inverse Source Problems for Production-Destruction Models with Time Series-Type Measurement Data

    Penenko, A. V., 1 Jan 2019, In: Numerical Analysis and Applications. 12, 1, p. 51-69 19 p.

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

  26. Consistent Discrete-Analytical Schemes for the Solution of the Inverse Source Problems for Atmospheric Chemistry Models with Image-Type Measurement Data

    Penenko, A., Penenko, V., Tsvetova, E. & Mukatova, Z., 1 Jan 2019, Finite Difference Methods. Theory and Applications - 7th International Conference, FDM 2018, Revised Selected Papers. Faragó, I., Dimov, I. & Vulkov, L. (eds.). Springer, p. 378-386 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11386 LNCS).

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

  27. 2018

  28. Air pollution modelling in urban environment based on a priori and reconstructed data

    Gochakov, A. V., Penenko, A. V., Antokhin, P. N. & Kolker, A. B., 17 Dec 2018, In: IOP Conference Series: Earth and Environmental Science. 211, 1, 012050.

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

  29. Algorithms for the inverse modelling of transport and transformation of atmospheric pollutants

    Penenko, A. V., 17 Dec 2018, In: IOP Conference Series: Earth and Environmental Science. 211, 1, 012052.

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

  30. Numerical solution of the inverse source problems for the advection-diffusion-reaction models with image-type measurement data

    Penenko, A. V., Mukatova, Z. S. & Blem, A. A., 2 Nov 2018, 19th International Conference on the Methods of Aerophysical Research, ICMAR 2018. Fomin (ed.). American Institute of Physics Inc., Vol. 2027. 5 p. 030106. (AIP Conference Proceedings; vol. 2027).

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

  31. A numerical evaluation of the source identification algorithm for atmospheric chemistry model with the concentrations time series data

    Penenko, A. V. & Mukatova, Z. S., 1 Jan 2018, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Romanovskii, O. A. & Matvienko, G. G. (eds.). The International Society for Optical Engineering, Vol. 10833. 5 p. 108338R. (Proceedings of SPIE; vol. 10833).

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

  32. Numerical evaluation of the chemical data assimilation system in an urban scenario

    Penenko, A. V., Gochakov, A. V., Mukatova, Z. S. & Antokhin, P. N., 1 Jan 2018, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Romanovskii, O. A. & Matvienko, G. G. (eds.). The International Society for Optical Engineering, 5 p. 108338V. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 10833).

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

  33. Sequential variational data assimilation algorithms at the splitting stages of a numerical atmospheric chemistry model

    Penenko, A., Penenko, V., Tsvetova, E., Grishina, A. & Antokhin, P., 1 Jan 2018, Large-Scale Scientific Computing - 11th International Conference, LSSC 2017, Revised Selected Papers. Lirkov & Margenov, S. (eds.). Springer, p. 536-543 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10665 LNCS).

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

  34. 2017

  35. Direct data assimilation algorithms for advection-diffusion models with the increased smoothness of the uncertainty functions

    Penenko, A., Penenko, V. & Mukatova, Z., 14 Nov 2017, Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. Institute of Electrical and Electronics Engineers Inc., p. 126-130 5 p. 8109853

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

  36. On a comparison of two schemes in sequential data assimilation

    Grishina, A. A. & Penenko, A. V., 14 Nov 2017, Proceedings of the 8th International Conference on Mathematical Modeling, ICMM 2017. Egorov, IE., Popov, SV., Vabishchevich, PN., Antonov, MY., Lazarev, NP., Troeva, MS., Troeva, MS., Ivanova, AO. & Grigorev, YM. (eds.). American Institute of Physics Inc., Vol. 1907. 9 p. 030013. (AIP Conference Proceedings; vol. 1907).

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

  37. Simulation of spread and transformation of emissions from Norilsk industrial zone with the WRF-CHEM model: Comparison with experimental data of airborne sensing

    Antokhin, P. N., Antokhina, O. Y., Belan, B. D., Simonenkov, D. V., Penenko, A. V., Kolker, A. B. & Gochakov, A. V., 1 Jan 2017, 23RD INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS: ATMOSPHERIC PHYSICS: Atmospheric Physics. Matvienko, GG. & Romanovskii, OA. (eds.). The International Society for Optical Engineering, Vol. 10466. 4 p. 104665S. (Proceedings of SPIE; vol. 10466).

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

  38. Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry

    Penenko, A., Antokhin, P. & Grishina, A., 1 Jan 2017, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Matvienko, GG. & Romanovskii, OA. (eds.). The International Society for Optical Engineering, Vol. 10466. 5 p. 1046674. (Proceedings of SPIE; vol. 10466).

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

  39. 2016

  40. Mechanical behavior of cells within a cell-based model of wheat leaf growth

    Zubairova, U., Nikolaev, S., Penenko, A., Podkolodnyy, N., Golushko, S., Afonnikov, D. & Kolchanov, N., 15 Dec 2016, In: Frontiers in Plant Science. 7, DECEMBER2016, 15 p., 1878.

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

  41. Estimation the height of ozone formation in the atmospheric boundary layer

    Antokhin, P. N., Antokhina, O. Y., Belan, B. D. & Penenko, A. V., 2016, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Romanovskii, O. A. & Matvienko, G. G. (eds.). The International Society for Optical Engineering, 100356L. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 10035).

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

  42. Numerical study of direct variational algorithm for assimilation of atmospheric chemistry data into transport and transformation model

    Penenko, A. & Antokhin, P., 2016, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Romanovskii, O. A. & Matvienko, G. G. (eds.). The International Society for Optical Engineering, 100356F. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 10035).

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

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