Stochastic Kinetic Mean Field model - a new, low-cost, atomic scale simulation technique

We introduce a new model for calculating the evolution of three-dimensional atomic configurations. The method is based on the kinetic mean field (KMF) approach [1], however we have transformed that model into a stochastic approach by introducing dynamic Langevin noise. The result is a stochastic kinetic mean field model (SKMF) which has very similar applicability and results to lattice kinetic Monte Carlo (KMC). SKMF is, however, more cost-effective, the algorithm is easier to implement and its results are easier to interpret. [2] The group made the software and the program code (together with tutorials) freely available to the scientific community at the http://skmf.eu webpage. We plan to keep this open source approach with the model`s further developments, too. [3]

[1] Martin G., Atomic mobility in Cahn`s diffusion model, Phys. Rev. B 41, 2279-2283 (1990)
[2] Erdélyi Z., Pasichnyy M., Bezpalchuk V., Tomán J.J.,Gajdics B., Gusak A.M., Stochastic Kinetic Mean Field Model, Computer Physics Communications 204: pp. 31-37. (2016), http://dx.doi.org/10.1016/j.cpc.2016.03.003.
[3] http://skmf.eu