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Publications in Math-Net.Ru
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Kinetic aggregation models leading to morphological memory of formed structures
Zh. Vychisl. Mat. Mat. Fiz., 62:2 (2022), 255–269
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S.K. Godunov and kinetic theory at the Keldysh Institute of Applied Mathematics of the Russian Academy of Sciences
Zh. Vychisl. Mat. Mat. Fiz., 60:4 (2020), 621–625
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Approaches to determining the kinetics for the formation of a nano-dispersed substance from the experimental distribution functions of its nanoparticle properties
Nanosystems: Physics, Chemistry, Mathematics, 10:5 (2019), 549–563
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Entropy in the sense of Boltzmann and Poincare, Boltzmann extremals, and the Hamilton–Jacobi method in non-Hamiltonian context
CMFD, 64:1 (2018), 37–59
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$H$-theorem for continuous- and discrete-time chemical kinetic systems and a system of nucleosynthesis equations
Zh. Vychisl. Mat. Mat. Fiz., 58:9 (2018), 1517–1530
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Generalized Boltzmann-type equations for aggregation in gases
Zh. Vychisl. Mat. Mat. Fiz., 57:12 (2017), 2065–2078
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Entropy in the sense of Boltzmann and Poincaré
Uspekhi Mat. Nauk, 69:6(420) (2014), 45–80
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Time averages and Boltzmann extremals for Markov chains, discrete Liouville equations, and the Kac circular model
Zh. Vychisl. Mat. Mat. Fiz., 51:11 (2011), 2063–2074
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On the sizes of discrete velocity models of the Boltzmann equation for mixtures
Zh. Vychisl. Mat. Mat. Fiz., 47:6 (2007), 1045–1054
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One-dimensional discrete models of kinetic equations for mixtures
Zh. Vychisl. Mat. Mat. Fiz., 44:3 (2004), 553–558
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