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Título

A global optimization perspective on molecular clusters

AutorMarques, J.M.C.; Pereira, F. B.; Llanio-Trujillo, J. L.; Abreu, P. E.; Albertí, M.; Aguilar, A.; Pirani, Fernando; Bartolomei, Massimiliano
Palabras claveMolecular dynamics
Calculations
Evolutionary algorithms
Microsolvation
Structure optimization
Molecular clusters
Fecha de publicación20-mar-2017
EditorRoyal Society (Great Britain)
CitaciónPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 375: 2092 (2017)
ResumenAlthough there is a long history behind the idea of chemical structure, this is a key concept that continues to challenge chemists. Chemical structure is fundamental to understanding most of the properties of matter and its knowledge for complex systems requires the use of state-of-the-art techniques, either experimental or theoretical. From the theoretical view point, one needs to establish the interaction potential among the atoms or molecules of the system, which contains all the information regarding the energy landscape, and employ optimization algorithms to discover the relevant stationary points. In particular, global optimization methods are of major importance to search for the low-energy structures of molecular aggregates. We review the application of global optimization techniques to several molecular clusters; some new results are also reported. Emphasis is given to evolutionary algorithms and their application in the study of the microsolvation of alkali-metal and Ca2+ ions with various types of solvents.
Versión del editorhttp://doi.org/10.1098/rsta.2016.0198
URIhttp://hdl.handle.net/10261/158468
Identificadoresdoi: 10.1098/rsta.2016.0198
issn: 1364-503X
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