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Diffusion Monte Carlo evaluation of disiloxane linearisation barrier.
Hanindriyo, Adie Tri; Yadav, Amit Kumar Singh; Ichibha, Tom; Maezono, Ryo; Nakano, Kousuke; Hongo, Kenta.
Afiliación
  • Hanindriyo AT; School of Materials Science, JAIST, Asahidai 1-1, Nomi, Ishikawa, 923-1292, Japan. adietri@icloud.com.
  • Yadav AKS; Department of Electrical Engineering, Indian Institute of Technology Gandhinagar, Palaj 382355, Gujarat, India.
  • Ichibha T; Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA.
  • Maezono R; School of Information Science, JAIST, Asahidai 1-1, Nomi, Ishikawa, 923-1292, Japan.
  • Nakano K; School of Information Science, JAIST, Asahidai 1-1, Nomi, Ishikawa, 923-1292, Japan.
  • Hongo K; Scuola Internazionale Superiore di Studi Avanzati (SISSA), via Bonomea, 265-34136 Trieste, Italy.
Phys Chem Chem Phys ; 24(6): 3761-3769, 2022 Feb 09.
Article en En | MEDLINE | ID: mdl-35080527
The disiloxane molecule is a prime example of silicate compounds containing the Si-O-Si bridge. The molecule is of significant interest within the field of quantum chemistry, owing to the difficulty in theoretically predicting its properties. Herein, the linearisation barrier of disiloxane is investigated using a fixed-node diffusion Monte Carlo (FNDMC) approach, which is one of the most reliable ab initio methods in accounting for the electronic correlation. Calculations utilizing the density functional theory (DFT) and the coupled cluster method with single and double substitutions, including noniterative triples (CCSD(T)) are carried out alongside FNDMC for comparison. It is concluded that FNDMC successfully predicts the disiloxane linearisation barrier and does not depend on the completeness of the basis-set as much as DFT or CCSD(T), thus establishing its suitability.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Phys Chem Chem Phys Asunto de la revista: BIOFISICA / QUIMICA Año: 2022 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Phys Chem Chem Phys Asunto de la revista: BIOFISICA / QUIMICA Año: 2022 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido