2008
DOI: 10.1002/qua.21666
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Atomic basis sets optimization using the generalized simulated annealing approach: New basis sets for the first row elements

Abstract: Atomic basis sets equivalent to the standard STO-3G and STO-6G ones were optimized for the elements of the first row using the generalized simulated annealing (GSA) approach. The atomic energies obtained with the new basis sets are substantially better than the ones obtained with the standard ones. The new basis sets were tested for several diatomic and triatomic molecules, at different levels of calculation. For the molecules at their geometries of equilibrium, the energies obtained with the GSA optimized bas… Show more

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Cited by 14 publications
(12 citation statements)
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“…This possibility was tested in previous works,3, 4 where we investigated the permanent electrical dipole moment of some AH molecules, using the MRHFCI method and the standard STO‐6G bases and a new minimal basis CFG‐6G 6. In all cases, we have obtained electrical dipole moments close to the experimental results with a reduced number of configurations in the MRHF basis.…”
Section: Introductionmentioning
confidence: 59%
“…This possibility was tested in previous works,3, 4 where we investigated the permanent electrical dipole moment of some AH molecules, using the MRHFCI method and the standard STO‐6G bases and a new minimal basis CFG‐6G 6. In all cases, we have obtained electrical dipole moments close to the experimental results with a reduced number of configurations in the MRHF basis.…”
Section: Introductionmentioning
confidence: 59%
“…The MRHFCI method was applied to calculate the permanent electrical dipole moment of some small molecules, LiH, BH, FH, CO and H 2 O and the quadrupole moment of the FH [3]- [5], using the standard STO-6G and a new minimal-6G bases [6]. For LiH molecule were performed MRHFCI calculations with the double-zeta (dz), triplezeta (tz) and polarized dz (dzp) bases.…”
Section: Previous Resultsmentioning
confidence: 99%
“…Different attempts were made to quantitatively compare GA and the different versions of simulated annealing, concluding that the Monte Carlo derived methods are more efficient for biomolecular studies [63]. In particular, GSA has been shown to be useful when applied to global optimization problems that involve long range interactions, such as in atomic parameterization [64], gravitational systems [65] and conformational optimization of small molecules and peptides [6672]. GSA has been shown to be more efficient than CSA and FSA as the number of dimensions in the phase space increases [73].…”
Section: Simulated Annealingmentioning
confidence: 99%