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. © 2011 the Societies Owner.
CITATION STYLE
Baumes, L. A., Kruger, F., Jimenez, S., Collet, P., & Corma, A. (2011). Boosting theoretical zeolitic framework generation for the determination of new materials structures using GPU programming. Physical Chemistry Chemical Physics, 13(10), 4674–4678. https://doi.org/10.1039/c0cp02833a
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