Assessing the Performance of the Diffusion Monte Carlo Method as Applied to the Water Monomer, Dimer, and Hexamer
Joel D. Mallory, Sandra E. Brown, and Vladimir A. Mandelshtam

TL;DR
This study evaluates the accuracy and biases of the Diffusion Monte Carlo method when applied to water clusters, demonstrating its effectiveness in calculating binding energies and isotope shifts with manageable computational effort.
Contribution
It provides a detailed analysis of bias effects in DMC for water clusters and introduces strategies to achieve high-accuracy results, especially for isotope shifts.
Findings
Bias in time step cancels for binding energies.
Population size bias affects larger clusters more.
Accurate isotope shift results are achievable with moderate computational resources.
Abstract
The Diffusion Monte Carlo (DMC) method is applied to the water monomer, dimer, and hexamer, using q-TIP4P/F, one of the most simple, empirical water models with flexible monomers. The bias in the time step () and population size () is investigated. For the binding energies, the bias in cancels nearly completely, while a noticeable bias in still remains. However, for the isotope shift, (e.g, in the dimer binding energies between (HO) and (DO)) the systematic errors in do cancel. Consequently, very accurate results for the latter (within kcal/mol) are obtained with relatively moderate numerical effort (). For the water hexamer and its (DO) isotopomer the DMC results as a function of are examined for the cage and prism isomers. For a given isomer, the issue of the walker population leaking out…
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