journal article·2004-02

Development of tight-binding, chemical-reaction-dynamics simulator for combinatorial computational chemistry

Momoji Kubo, Minako Ando, Satoshi Sakahara, Changho Jung, Kotaro Seki, Tomonori Kusagaya, Akira Endou, Seiichi Takami, Akira Imamura, Akira Miyamoto

Applied Surface Science· Volume 223· Issue 1-3
Publisher page

Abstract

Abstract Recently, we have proposed a new concept called “combinatorial computational chemistry” to realize a theoretical, high-throughput screening of catalysts and materials. We have already applied our combinatorial, computational-chemistry approach, mainly based on static first-principles calculations, to various catalysts and materials systems and its applicability to the catalysts and materials design was strongly confirmed. In order to realize more effective and efficient combinatorial, computational-chemistry screening, a high-speed, chemical-reaction-dynamics simulator based on quantum-chemical, molecular-dynamics method is essential. However, to the best of our knowledge, there is no chemical-reaction-dynamics simulator, which has an enough high-speed ability to perform a high-throughput screening. In the present study, we have succeeded in the development of a chemical-reaction-dynamics simulator based on our original, tight-binding, quantum-chemical, molecular-dynamics method, which is more than 5000 times faster than the regular first-principles, molecular-dynamics method. Moreover, its applicability and effectiveness to the atomistic clarification of the methanol-synthesis dynamics at reaction temperature were demonstrated.
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Research context

OpenAlex topics: Catalytic Processes in Materials Science · Catalysis and Oxidation Reactions · Machine Learning in Materials Science

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