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Use este identificador para citar ou linkar para este item: http://repositorio.unb.br/handle/10482/41156
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Título: Accurate spectroscopic properties by diffusion quantum Monte Carlo calculations
Autor(es): Carvalho, Cassius Marcellus Costa
Gargano, Ricardo
Martins, João Batista Lopes
Politi, José Roberto dos Santos
Assunto: Propriedades espectroscópicas
Monte Carlo, Método de
Curva de energia potencial
Data de publicação: 2020
Editora: Elsevier
Referência: CARVALHO, Cassius M. C. et al. Accurate spectroscopic properties by diffusion quantum Monte Carlo calculations. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, v. 243, 118707, 2020. DOI: https://doi.org/10.1016/j.saa.2020.118707.
Abstract: The capability of Diffusion Quantum Monte Carlo (DMC) to produce high quality potential energy curve (PEC) was evaluated. H2+, HeH+ and LiH PECs were built by all-electron fixed-node DMC calculations. Trial wave functions were obtained from Hartree-Fock (HF) (H2+), MCSCF and CI (HeH+ and LiH) calculations multiplied by Jastrow factor. The quality of these generated PECs was analyzed throughout equilibrium distance, dissociation energy, vibrational energies and rovibrational spectroscopic constants (ωe, ωexe, ωeye, αe, γe and Be). The Discrete Variable Representation (DVR) and the Dunham approaches were used to determine the rovibrational spectroscopic constants. The PECs and the aforementioned properties were also obtained by the following methods: MCSCF/aug-cc-pV5Z (LiH), CCSD(T)/aug-cc-pV5Z (HeH+ and LiH) and HF (H2+ and HeH+) levels. The results of these DMC computations, specially the DMC-DVR procedure, are the most accurate among others DMC calculations available in the literature for these systems. They suggest that DMC can be used to achieve accurate PECs to produce spectroscopic properties with the same level of accuracy of theoretical benchmarks and experimental data of the literature.
DOI: https://doi.org/10.1016/j.saa.2020.118707
Versão da editora: https://www.sciencedirect.com/science/article/abs/pii/S1386142520306867
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