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Cluster Ohio Rev3

Wolfgang Windl, Yunzhi Wang, Ju Li
Materials Science and Engineering
The Ohio State University

Summary
Highly parallel multiscale modeling suite for the simulation of real materials. Develop on a dedicated cluster system a highly parallel multiscale modeling environment which will attack the overwhelming complexity of real materials from different directions. The final goal is to seamlessly pass data from one modeling tool to the other, develop a metric to optimize the distribution of the different tasks to the different processors and eventually allow automatic multiscale modeling, minimizing the need for human intervention. Targeted areas: accelerated ab-initio molecular dynamics using self-optimizing empirical potentials for the acceleration steps; ab-initio based property lookup tables with stress-strain data as the prototype; open-source distributed molecular visualization for billion-atom systems; open-source integrated highly parallel MD code and libraries; mesoscale microstructure modeling as driver with automatic identification and calculation of atomistically calculated parameters.

Installation Date
TBD

Configuration
1 login node, 1 storage node, 24 computational nodes (nodes contain dual AMD Athlon processors)