Efficient 3D Kinetic Monte Carlo Method for Modeling of Molecular Structure and Dynamics

Mikhail Panshenskov, Ilia A. Solov'yov, Andrey V. Solov'yov
Journal of Computational Chemistry
35
1317-1329
2014
abstract
Self-assembly of molecular systems is an important and general problem that intertwines physicschemistry, biology, and material sciences. Through understanding of the physical principles of self-organization
it often becomes feasible to control the process and to obtain complex structures with tailored properties, for example
bacteria colonies of cells or nanodevices with desired properties. Theoretical studies and simulations provide an
important tool for unraveling the principles of self-organization and, therefore, have recently gained an increasing
interest. The present article features an extension of a popular code MBN EXPLORER (MesoBioNano Explorer) aiming to
provide a universal approach to study self-assembly phenomena in biology and nanoscience. In particular, this extension
involves a highly parallelized module of MBN EXPLORER that allows simulating stochastic processes using the kinetic Monte Carlo
approach in a three-dimensional space. We describe the computational side of the developed code, discuss its efficiency
and apply it for studying an exemplary system.
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