An algorithm for atom-centered lossy compression of the atomic orbital basis in density functional theory calculations
Anthony O. Lara, Justin J. Talbot, Zhe Wang, Martin Head-Gordon

TL;DR
This paper introduces a natural atomic orbital (NAO) based compression scheme for atomic orbital basis sets in density functional theory, significantly reducing computational costs while maintaining high accuracy.
Contribution
The authors develop a novel NAO-based method for atom-centered lossy compression of AO basis sets, improving efficiency in DFT calculations with minimal accuracy loss.
Findings
Compression factors between 2.5 and 4.5 for QZ basis
Errors in energies typically less than 0.1 kcal/mol
Higher thresholds yield smaller errors with compression factors around 2-2.5
Abstract
Large atomic-orbital (AO) basis sets of at least triple and preferably quadruple-zeta (QZ) size are required to adequately converge Kohn-Sham density functional theory (DFT) calculations towards the complete basis set limit. However, incrementing the cardinal number by one nearly doubles the AO basis dimension, and the computational cost scales as the cube of the AO dimension, so this is very computationally demanding. In this work, we develop and test a natural atomic orbital (NAO) scheme in which the NAOs are obtained as eigenfunctions of atomic blocks of the density matrix in a one-center orthogonalized representation. The NAO representation enables one-center compression of the AO basis in a manner that is optimal for a given threshold, by discarding NAOs with occupation numbers below that threshold. Extensive tests using the Hartree-Fock functional suggest that a threshold of…
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Taxonomy
TopicsAdvanced Chemical Physics Studies · Machine Learning in Materials Science · Boron and Carbon Nanomaterials Research
