Published 2016 | Version v1
Journal article

Calculating potential energy curves with fixed-node diffusion Monte Carlo: CO and N2

  • 1. Missouri University of Science and Technology, Rolla, MO (United States). Dept. of Chemistry

Description

This study reports on the prospect for the routine use of Quantum Monte Carlo (QMC) for the electronic structure problem, applying fixed-node Diffusion Monte Carlo (DMC) to generate highly accurate Born-Oppenheimer potential energy curves (PECs) for small molecular systems. The singlet ground electronic states of CO and N2 were used as test cases. The PECs obtained by DMC employing multiconfigurational trial wavefunctions were compared with those obtained by conventional high-accuracy electronic structure methods such as multireference configuration interaction and/or the best available empirical spectroscopic curves. The goal was to test whether a straightforward procedure using available QMC codes could be applied robustly and reliably. Results obtained with DMC codes were found to be in close agreement with the benchmark PECs, and the n3 scaling with the number of electrons (compared with n7 or worse for conventional high-accuracy quantum chemistry) could be advantageous depending on the system size. Due to a large pre-factor in the scaling, for the small systems tested here, it is currently still much more computationally intensive to compute PECs with QMC. Nevertheless, QMC algorithms are particularly well-suited to large-scale parallelization and are therefore likely to become more relevant for future massively parallel hardware architectures.

Availability note (English)

Available from https://www.osti.gov/servlets/purl/1465366; https://www.osti.gov/biblio/1465366; DOE Accepted Manuscript full text, or the publishers Best Available Version will be available free of charge after the embargo period

Additional details

Publishing Information

Journal Title
Journal of Chemical Physics
Journal Volume
145
Journal Issue
22
Journal Page Range
vp.
ISSN
0021-9606

Optional Information

Contract/Grant/Project number
SC0010616
Funding organization
USDOE Office of Science - SC (United States)
Secondary number(s)
OSTIID--1465366