Basis Set Incompleteness Errors in Fixed-Node Diffusion Monte Carlo Calculations on Noncovalent Interactions

Basis set incompleteness error (BSIE) is a common source of error in quantum chemistry calculations, but it has not been comprehensively studied in fixed-node Diffusion Monte Carlo (FN-DMC) calculations. FN-DMC, being a projection method, is often considered minimally affected by basis set biases. Here, we show that this assumption is not always valid. While the relative error introduced by a small basis set in the total FN-DMC energy is minor, it can become significant in binding energy (<i>E</i><sub>b</sub>) evaluations of weakly interacting systems. We systematically investigated BSIEs in FN-DMC-based <i>E</i><sub>b</sub> evaluations using the A24 data set, a well-known benchmark set of 24 noncovalently bound dimers. We found that BSIEs in FN-DMC evaluations of <i>E</i><sub>b</sub> are indeed significant when small localized basis sets, such as cc-pVDZ and cc-pVTZ, are employed. Our study shows that the aug-cc-pVTZ basis set family strikes a good balance between computational cost and BSIEs in the <i>E</i><sub>b</sub> calculations. We also found that augmenting the basis sets with diffuse orbitals, using counterpoise correction, or both, effectively mitigates BSIEs, allowing smaller basis sets such as aug-cc-pVDZ to be used.

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2025-04-30
DOI
https://doi.org/10.1021/acs.jctc.4c01631
Citations
5
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
6.99

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article

Basis Set Incompleteness Errors in Fixed-Node Diffusion Monte Carlo Calculations on Noncovalent Interactions

Dario Alfè, Benjamin X. Shi, Andrea Zen, Kousuke Nakano
5 citations
Journal of Chemical Theory and Computation
Probabilistic and Robust Engineering Design
6.99
article

Basis Set Incompleteness Errors in Fixed-Node Diffusion Monte Carlo Calculations on Noncovalent Interactions

Dario Alfè, Benjamin X. Shi, Andrea Zen, Kousuke Nakano
article en
5 citations

Abstract

Basis set incompleteness error (BSIE) is a common source of error in quantum chemistry calculations, but it has not been comprehensively studied in fixed-node Diffusion Monte Carlo (FN-DMC) calculations. FN-DMC, being a projection method, is often considered minimally affected by basis set biases. Here, we show that this assumption is not always valid. While the relative error introduced by a small basis set in the total FN-DMC energy is minor, it can become significant in binding energy (<i>E</i><sub>b</sub>) evaluations of weakly interacting systems. We systematically investigated BSIEs in FN-DMC-based <i>E</i><sub>b</sub> evaluations using the A24 data set, a well-known benchmark set of 24 noncovalently bound dimers. We found that BSIEs in FN-DMC evaluations of <i>E</i><sub>b</sub> are indeed significant when small localized basis sets, such as cc-pVDZ and cc-pVTZ, are employed. Our study shows that the aug-cc-pVTZ basis set family strikes a good balance between computational cost and BSIEs in the <i>E</i><sub>b</sub> calculations. We also found that augmenting the basis sets with diffuse orbitals, using counterpoise correction, or both, effectively mitigates BSIEs, allowing smaller basis sets such as aug-cc-pVDZ to be used.

Journal of Chemical Theory and ComputationVol. 21(9)
National Institute for Materials Science (JP), University of Cambridge (GB), London Centre for Nanotechnology (GB), Thomas Young Centre (GB), Universitas Islam Syekh Yusuf (ID), University College London (GB), University of Naples Federico II (IT)
Leverhulme Trust, University College London, Ministry of Education, Culture, Sports, Science and Technology, Iketani Science and Technology Foundation, Engineering and Physical Sciences Research Council, European Research Council
Openalex Percentile: Top 3%
Probabilistic and Robust Engineering Design
6.99
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