Publications using SKMF

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Gabriella Jáger, János J. Tomán, Zoltán Erdélyi
Nanoparticle formation by spinodal decomposition in ion implanted samples
Journal of Alloys and Compounds, 910, 164781 (2022)