January 2022

Journal

Diffusion Monte Carlo evaluation of disiloxane linearisation barrier

By:
Tri hanindriyo, Adie; Kumar singh yadav, Amit; Maezono, Ryo; Nakano, Kousuke; Hongo, Kenta; Ichiba, Tomohiro
Journal Name:
Physical Chemistry Chemical Physics
Page Number:
3761-3769
Volume:
24
Issue Number:
6
Publication Date:
January 2022
View DOI Listing:
https://doi.org/10.1039/D1CP01471D

Abstract

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.