Automatic Generation of Accurate and Cost-efficient Auxiliary Basis Sets
Susi Lehtola

TL;DR
This paper presents methods to automatically generate auxiliary basis sets for density fitting in quantum chemistry, reducing their size and computational cost while maintaining high accuracy across various molecules and levels of theory.
Contribution
The authors introduce two truncation techniques—singular value decomposition contraction and high-angular momentum function removal—to produce smaller, cost-effective auxiliary basis sets without sacrificing accuracy.
Findings
Accurate energies achieved with significantly reduced basis set sizes.
Reduction schemes decrease basis set size scaling factor from ~10 to ~3-6.
Generated auxiliary basis sets are highly transferable across methods and molecules.
Abstract
We have recently discussed an algorithm to automatically generate auxiliary basis sets (ABSs) of the standard form for density fitting (DF) or resolution-of-the-identity (RI) calculations in a given atomic orbital basis set (OBS) of any form [J. Chem. Theory Comput. 2021, 17, 6886]. In this work, we study two ways to reduce the cost of such automatically generated ABSs without sacrificing their accuracy. We contract the ABS with a singular value decomposition proposed by K\'allay [J. Chem. Phys. 2014, 141, 244113], used here in a somewhat different setting. We also drop the high-angular momentum functions from the ABS, as they are unnecessary for global fitting methods. Studying the effect of these two types of truncations on Hartree--Fock (HF) and second-order M{\o}ller--Plesset perturbation theory (MP2) calculations on a chemically diverse set of first- and second-row molecules within…
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Taxonomy
TopicsAdvanced Chemical Physics Studies · Machine Learning in Materials Science · Catalytic Processes in Materials Science
