In the followings we list chronologically the most important publications that used the SKMF model.
Erdélyi Z, Pasichnyy M, Bezpalchuk V, Tomán J, Gajdics B, Gusak A
Stochastic Kinetic Mean Field Model
Computer Physics Communications, 204: pp. 31-37. (2016)
https://dx.doi.org/10.1016/j.cpc.2016.03.003
V. M. Bezpalchuk, R. Kozubski, A. M. Gusak
Simulation of the Tracer Diffusion, Bulk Ordering, and Surface Reordering in F.C.C. Structures by Kinetic Mean-Field Method
Usp. Fiz. Met., 18, No. 3: 205-233 (2017)
https://dx.doi.org/10.15407/ufm.18.03.205
Volodymyr Bezpalchuk, Rafal Abdank-Kozubski, Mykola Pasichnyy, Andriy Gusak
Tracer Diffusion and Ordering in FCC Structures - Stochastic Kinetic Mean-Field Method vs. Kinetic Monte Carlo
Defect and Diffusion Forum, Vol. 383, pp. 59-65, (2018)
https://doi.org/10.4028/www.scientific.net/DDF.383.59
Bence D. Gajdics, János J. Tomán, Fanni Misják, György Radnóczi, Zoltán Erdélyi
Spinodal Decomposition in Nanoparticles - Experiments and Simulation
Defect and Diffusion Forum, Vol. 383, pp. 89-95, (2018)
https://doi.org/10.4028/www.scientific.net/DDF.383.89
Andriy Gusak and Tetiana Zaporozhets
Martin’s Kinetic Mean-Field Model Revisited—Frequency Noise Approach versus Monte Carlo
Metallofiz. Noveishie Tekhnol., 40, No. 11: 1415-1435 (2018)
https://doi.org/10.15407/mfint.40.11.1415
Andriy Gusak, Tetiana Zaporozhets, Nadiia Storozhuk
Phase competition in solid-state reactive diffusion revisited—Stochastic kinetic mean-field approach
J. Chem. Phys., 150, 174109 (2019)
https://doi.org/10.1063/1.5086046
Bence Gajdics, János J. Tomán, Helena Zapolsky, Zoltán Erdélyi, Gilles Demange
A multiscale procedure based on the stochastic kinetic mean field and the phase-field models for coarsening
Journal of Applied Physics, 126, 065106 (2019)
https://doi.org/10.1063/1.5099676
Bence Gajdics, János J. Tomán, Zoltán Erdélyi
Composition dependent gradient energy coefficient: How the asymmetric miscibility gap affects spinodal decomposition in Ag-Cu?
Calphad, 67, 101665 (2019)
https://doi.org/10.1016/j.calphad.2019.101665
Tetyana V. Zaporozhets, Andriy Taranovskyy, Gabriella Jáger, Andriy M. Gusak, Zoltán Erdélyi, János J. Tomán
The effect of introducing stochasticity to kinetic mean-field calculations: Comparison with lattice kinetic Monte Carlo in case of regular solid solutions
Computational Materials Science, 171, 109251 (2020)
https://doi.org/10.1016/j.commatsci.2019.109251
Bence Gajdics, János J. Tomán, Zoltán Erdélyi
An effective method to calculate atomic movements in 3D objects with tuneable stochasticity (3DO-SKMF)
Computer Physics Communications, 258, 107609 (2021)
https://doi.org/10.1016/j.cpc.2020.107609
Andriy Taranovskyy, János J. Tomán, Bence Gajdics, Zoltán Erdélyi
3D phase diagrams and the thermal stability of two-component Janus nanoparticles: effects of size, average composition and temperature
Phys. Chem. Chem. Phys., 23, 6116-6127 (2021)
https://doi.org/10.1039/D0CP06695H
Gabriella Jáger, János J. Tomán, Zoltán Erdélyi
Nanoparticle formation by spinodal decomposition in ion implanted samples
Journal of Alloys and Compounds, 910, 164781 (2022)
https://doi.org/10.1016/j.jallcom.2022.164781
A. Titova, H. Zapolsky, A. Gusak
Memory effects during co-deposition of binary alloys
Scripta Materialia, 241, 115897 (2024)
https://doi.org/10.1016/j.scriptamat.2023.115897