Computing Molecular Potential Energy Surface with DIET
Identifieur interne : 001774 ( Hal/Corpus ); précédent : 001773; suivant : 001775Computing Molecular Potential Energy Surface with DIET
Auteurs : Emmanuel Jeannot ; Gerard MonardSource :
Abstract
New developments in the field of theoretical chemistry require the computation of numerous Molecular Potential Energy Surfaces (PESs) to generate adequate quantum force field parameters. Because workstations alone cannot fulfill the requirements of these modern chemical advances, we present in this paper how we have tackled this problem using several up-to-date computer science technology such as grid-computing middleware, molecular databases, script interfacing, etc. An example on the optimization of semiempirical parameters for water shows the potential power of our approach and the benefit theoretical chemistry can gain with it.
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<front><div type="abstract" xml:lang="en">New developments in the field of theoretical chemistry require the computation of numerous Molecular Potential Energy Surfaces (PESs) to generate adequate quantum force field parameters. Because workstations alone cannot fulfill the requirements of these modern chemical advances, we present in this paper how we have tackled this problem using several up-to-date computer science technology such as grid-computing middleware, molecular databases, script interfacing, etc. An example on the optimization of semiempirical parameters for water shows the potential power of our approach and the benefit theoretical chemistry can gain with it.</div>
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<abstract xml:lang="en">New developments in the field of theoretical chemistry require the computation of numerous Molecular Potential Energy Surfaces (PESs) to generate adequate quantum force field parameters. Because workstations alone cannot fulfill the requirements of these modern chemical advances, we present in this paper how we have tackled this problem using several up-to-date computer science technology such as grid-computing middleware, molecular databases, script interfacing, etc. An example on the optimization of semiempirical parameters for water shows the potential power of our approach and the benefit theoretical chemistry can gain with it.</abstract>
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