Issue 10, 2011

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

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.

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

Supplementary files

Article information

Article type
Paper
Submitted
16 Mar 2010
Accepted
16 Dec 2010
First published
31 Jan 2011

Phys. Chem. Chem. Phys., 2011,13, 4674-4678

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

L. A. Baumes, F. Kruger, S. Jimenez, P. Collet and A. Corma, Phys. Chem. Chem. Phys., 2011, 13, 4674 DOI: 10.1039/C0CP02833A

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