Efficient Parallel Algorithm for Statistical Ion Track Simulations in Crystalline Materials

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dc.creatorJeon, Byoungseon
dc.creatorGrønbech-Jensen, Niels
dc.date2008-10-27
dc.date.accessioned2026-07-07T13:10:46Z
dc.date.available2026-07-07T13:10:46Z
dc.descriptionWe present an efficient parallel algorithm for statistical Molecular Dynamics simulations of ion tracks in solids. The method is based on the Rare Event Enhanced Domain following Molecular Dynamics (REED-MD) algorithm, which has been successfully applied to studies of, e.g., ion implantation into crystalline semiconductor wafers. We discuss the strategies for parallelizing the method, and we settle on a host-client type polling scheme in which a multiple of asynchronous processors are continuously fed to the host, which, in turn, distributes the resulting feed-back information to the clients. This real-time feed-back consists of, e.g., cumulative damage information or statistics updates necessary for the cloning in the rare event algorithm. We finally demonstrate the algorithm for radiation effects in a nuclear oxide fuel, and we show the balanced parallel approach with high parallel efficiency in multiple processor configurations.
dc.description17 pages, seven figures, four tables
dc.identifierhttps://arxiv.org/abs/0810.4737
dc.identifierhttp://arxiv.org/abs/0810.4737
dc.identifierComputer Physics Communications, Vol.180, 231 (2009).
dc.identifierdoi:10.1016/j.cpc.2008.09.014
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/229092
dc.subjectComputational Physics
dc.subjectAtomic Physics
dc.titleEfficient Parallel Algorithm for Statistical Ion Track Simulations in Crystalline Materials
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