Untangling Sourcesof Error in the Density-FunctionalMany-Body Expansion
The many-body expansion provides a framework for data-driven applications of electronic structure theory, including parametrization of classical force fields and machine learning. However, we demonstrate that its use significantly amplifies quadrature grid errors when modern density-functional approximations are employed. Standard grids that work well in conventional density-functional calculations result in runaway error accumulation when used with the many-body expansion. At the same time, delocalization error is also exacerbated, leading to exaggerated estimates of nonadditive <i>n</i>-body interactions. This is illustrated for anion–water clusters using the SCAN, r<sup>2</sup>SCAN, ωB97X-V and ωB97M-V functionals. By employing dense quadrature grids, the inherent self-interaction error is exposed, which can then be mitigated using a variety of other strategies.
Publication Details
- Journal
- Figshare
- Published
- 2025-03-08
- DOI
- https://doi.org/10.1021/acs.jpclett.4c03619.s001
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00