Taming the fixed-node error in diffusion Monte Carlo via range separation

Scemama, Anthony; Giner, Emmanuel; Benali, Anouar; Loos, Pierre-Francois

doi:10.1063/5.0026324

Taming the fixed-node error in diffusion Monte Carlo via range separation

Journal Article · Fri Nov 06 23:00:00 EST 2020 · Journal of Chemical Physics

DOI:https://doi.org/10.1063/5.0026324· OSTI ID:1775140

Scemama, Anthony; Giner, Emmanuel; Benali, Anouar; Loos, Pierre-Francois

By combining density-functional theory (DFT) and wave function theory via the range separation (RS) of the interelectronic Coulomb operator, we obtain accurate fixed-node diffusion Monte Carlo (FN-DMC) energies with compact multi-determinant trial wave functions. In particular, we combine here short-range exchange-correlation functionals with a flavor of selected configuration interaction known as configuration interaction using a perturbative selection made iteratively (CIPSI), a scheme that we label RS-DFT-CIPSI. One of the take-home messages of the present study is that RS-DFT-CIPSI trial wave functions yield lower fixed-node energies with more compact multi-determinant expansions than CIPSI, especially for small basis sets. Indeed, as the CIPSI component of RS-DFT-CIPSI is relieved from describing the short-range part of the correlation hole around the electron-electron coalescence points, the number of determinants in the trial wave function required to reach a given accuracy is significantly reduced as compared to a conventional CIPSI calculation. Importantly, by performing various numerical experiments, we evidence that the RS-DFT scheme essentially plays the role of a simple Jastrow factor by mimicking short-range correlation effects, hence avoiding the burden of performing a stochastic optimization. Considering the 55 atomization energies of the Gaussian-1 benchmark set of molecules, we show that using a fixed value of mu = 0.5 bohr(-1) provides effective error cancellations as well as compact trial wave functions, making the present method a good candidate for the accurate description of large chemical systems.

Research Organization:: Argonne National Laboratory (ANL)

Sponsoring Organization:: USDOE Office of Science - Office of Basic Energy Sciences - Materials Sciences and Engineering Division; Centre National de la Recherche Scientifique (CNRS)

DOE Contract Number:: AC02-06CH11357

OSTI ID:: 1775140

Journal Information:: Journal of Chemical Physics, Journal Name: Journal of Chemical Physics Journal Issue: 17 Vol. 153; ISSN 0021-9606

Country of Publication:: United States

Language:: English

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