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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
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A global optimization perspective on molecular clusters.

J M C Marques1, F B Pereira2,3, J L Llanio-Trujillo4

  • 1CQC, Department of Chemistry, University of Coimbra, 3004-535 Coimbra, Portugal qtmarque@ci.uc.pt.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|March 22, 2017
PubMed
Summary
This summary is machine-generated.

Global optimization techniques, particularly evolutionary algorithms, are crucial for determining the low-energy structures of molecular clusters. This study reviews their application in microsolvation studies of ions with solvents.

Keywords:
calculationsevolutionary algorithmsmicrosolvationmolecular clustersmolecular dynamicsstructure optimization

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Area of Science:

  • Chemistry
  • Computational Chemistry
  • Theoretical Chemistry

Background:

  • Chemical structure is a fundamental concept in chemistry, essential for understanding material properties.
  • Determining the structure of complex systems necessitates advanced experimental or theoretical techniques.
  • Theoretical approaches require defining interatomic potentials and utilizing optimization algorithms to find stable configurations.

Purpose of the Study:

  • To review the application of global optimization techniques in studying molecular clusters.
  • To highlight the importance of global optimization for discovering low-energy structures.
  • To present new results on the microsolvation of ions using evolutionary algorithms.

Main Methods:

  • Application of global optimization methods, with a focus on evolutionary algorithms.
  • Theoretical investigation of molecular aggregates and their energy landscapes.
  • Study of microsolvation phenomena involving alkali-metal and Ca2+ ions with diverse solvents.

Main Results:

  • Demonstrated the utility of global optimization in identifying low-energy structures of molecular clusters.
  • Reported new findings on the microsolvation of specific ions.
  • Showcased the effectiveness of evolutionary algorithms in this domain.

Conclusions:

  • Global optimization techniques are vital for advancing the understanding of molecular structures.
  • Evolutionary algorithms provide a powerful tool for theoretical studies in computational chemistry.
  • The microsolvation of ions is effectively studied using these advanced computational methods.