Nakano Kousuke, Shi Benjamin X, Alfè Dario, Zen Andrea
Center for Basic Research on Materials, National Institute for Materials Science (NIMS), Tsukuba, Ibaraki 305-0047, Japan.
Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom.
J Chem Theory Comput. 2025 May 13;21(9):4426-4434. doi: 10.1021/acs.jctc.4c01631. Epub 2025 Apr 30.
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 () evaluations of weakly interacting systems. We systematically investigated BSIEs in FN-DMC-based 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 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 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.
基组不完备误差(BSIE)是量子化学计算中常见的误差来源,但在固定节点扩散蒙特卡罗(FN-DMC)计算中尚未得到全面研究。FN-DMC作为一种投影方法,通常被认为受基组偏差的影响最小。在此,我们表明这一假设并不总是成立。虽然小基组在总FN-DMC能量中引入的相对误差较小,但在弱相互作用体系的结合能()评估中可能会变得显著。我们使用A24数据集(一组由24个非共价结合二聚体组成的著名基准集)系统地研究了基于FN-DMC的评估中的BSIE。我们发现,当使用诸如cc-pVDZ和cc-pVTZ等小的定域基组时,FN-DMC评估中的BSIE确实很显著。我们的研究表明,aug-cc-pVTZ基组家族在计算成本和BSIE之间达到了良好的平衡。我们还发现,使用弥散轨道扩充基组、采用抗衡校正或两者兼用,可有效减轻BSIE,从而可以使用诸如aug-cc-pVDZ等较小的基组。