Mirzoev Aleksandr Aminulaevich

Publications in Math-Net.Ru

1. The comparative results of the thermodynamic and first-principle modeling of disordered solutions of the Fe–V system
   
   Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 15:4 (2023),  68–76
2. A simple analytical model of thermal fields to develop digital twins in industrial arc welding
   
   Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 15:1 (2023),  76–86
3. Molecular dynamic modeling of structure and properties of SiO$_{2}$ glass substrate in a broad temperature range
   
   Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 14:4 (2022),  65–73
4. Ab initio simulation of dissolution energy and bond energy of hydrogen with 3$sp$, 3$d$, and 4$d$ impurities in bcc iron
   
   Fizika Tverdogo Tela, 63:7 (2021),  830–833
5. Ab initio modeling of interactions of P, H, S, S with grain boundaries in $\alpha$-iron
   
   Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 13:4 (2021),  57–68
6. Short-range order in Fe-Cr alloys: simulation by the lattice Monte Carlo method
   
   Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 11:2 (2019),  51–57
7. Molecular dynamics simulation of carbon clusterization under martensite tempering
   
   Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 11:1 (2019),  67–74
8. Molecular-dynamics simulation of the influence of silicon on the ordering of carbon in the martensite lattice
   
   Pisma v Zhurnal Tekhnicheskoi Fiziki, 44:3 (2018),  9–16
9. Ab initio simulation of silicon influence on Fe$_3$C carbide formation in BCC-iron
   
   Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 10:4 (2018),  78–87
10. Ab initio simulation of dissolution energy and carbon activity in fcc Fe
    
    Fizika Tverdogo Tela, 59:7 (2017),  1255–1260
11. Chemical potentials of tetragonal ferrite and its equilibrium with $\gamma$-phase in steels
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 9:4 (2017),  66–75
12. Dilatometric study of critical points of 13X11N2V2MF steel
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 9:3 (2017),  66–71
13. Determining the optimal modeling parameters for maximum precise calculations of energy in BCC-iron
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 8:4 (2016),  63–69
14. Martensite tempering during fast heating
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 8:1 (2016),  61–65
15. Carbon impurities in paramagnetic FCC iron: ab initio simulation of energy parameters
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 7:2 (2015),  56–63
16. DFT modelling of interaction of hydrogen with BBC iron vacancies
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 7:1 (2015),  48–56
17. First principles calculations of the interaction energies of carbon atoms in the antiferromagnetic double-layer FCC-iron
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 6:4 (2014),  53–58
18. Ab-initio simulation of dissoilution energy of carbon atom in the paramagnetic state of FCC-iron
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 6:3 (2014),  86–91
19. Elaboration of atomic model for ab initio calculation of the ferrite/cementite interface
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 6:2 (2014),  49–55
20. Ab-initio simulation of influence of short-range ordering carbon impurities on the energy of their dissolution in the FCC-iron
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 5:2 (2013),  108–116
21. Ineratomic potential for iron-carbon system and martencitic phase transition problem
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 5:1 (2013),  114–118
22. Ab initio modeling of the grain boundary formation energy in BCC iron
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 5:1 (2013),  76–81
23. The influence of effective pair potential hybridization on the liquid iron properties
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 2012, no. 7,  120–129
24. On equilibrium vacancy concentration in iron-hydrogen alloys
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 2012, no. 6,  97–104
25. Ab initio modeling of vacancy-point defects interaction in BCC iron
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 2011, no. 4,  114–119
26. The application of Schommers scheme for the calculation of effective pair potential in NPT ensemble
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 2011, no. 4,  106–113
27. First principles of calculation of the energy of mixing and magnetic moments of components of alloys $\mathrm{Fe}$–$\mathrm{Mn}$, $\mathrm{Fe}$–$\mathrm{Cr}$ and $\mathrm{Fe}$–$\mathrm{Ni}$–$\mathrm{C}$ with BCC and FCC lattices
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 2011, no. 4,  84–94
28. Influence of impurities on hydrogen dissolution in BCC iron
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 2011, no. 4,  77–83
29. Water self-diffusion coefficient calculated by gromacs software
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 2011, no. 4,  56–60
30. Selection of optimal parameters for formation the most accurate model of BCC iron
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 2010, no. 2,  97–101
31. Application of Green–Kubo method to liquid iron shear viscosity calculation
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 2010, no. 2,  76–78
32. Liquid iron viscosity: molecular-dynamics simulation with an embedded-atom potential
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 2009, no. 1,  79–83
33. Local electronic and atomic structures correlations in liquid alloys with strong chemical interactions
    
    Dokl. Akad. Nauk, 349:5 (1996),  615–617
34. Green's function of liquid metals
    
    TMF, 41:3 (1979),  378–387


35. Yuriy Izmaylov - to the 70th birthday anniversary
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 13:3 (2021),  79–82
36. To the 70th anniversary of Valery Beskachko
    
    Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 11:3 (2019),  68–70