Boosting theoretical zeolitic framework generation for the determination of new materials structures using GPU programming

Literature Information

Publication Date 2011-01-31
DOI 10.1039/C0CP02833A
Impact Factor 3.676
Authors

Laurent A. Baumes, Frederic Kruger, Santiago Jimenez, Pierre Collet, Avelino Corma


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Abstract

Evolutionary algorithms have proved to be efficient for solving complicated optimization problems. On the other hand, the many-core architecture in graphical cards “General Purpose Graphic Processing Unit” (GPGPU) offers one of the most attractive cost/performance ratio. Using such hardware, the manuscript shows how an efficiently implemented genetic algorithm with a simple fitness function allows boosting the determination of zeolite structures. A case study is presented.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
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