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  5. A domain-based local pair natural orbital implementation of the equation of motion coupled cluster method for electron attached states

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Article
English
2019

A domain-based local pair natural orbital implementation of the equation of motion coupled cluster method for electron attached states

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English
2019
The Journal of Chemical Physics
Vol 150 (16)
DOI: 10.1063/1.5089637

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Frank Neese
Frank Neese

Max Planck

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Achintya Kumar Dutta
Masaaki Saitow
Baptiste Démoulin
+2 more

Abstract

This work describes a domain-based local pair natural orbital (DLPNO) implementation of the equation of motion coupled cluster method for the computation of electron affinities (EAs) including single and double excitations. Similar to our earlier work on ionization potentials (IPs), the method reported in this study uses the ground state DLPNO framework and extends it to the electron attachment problem. While full linear scaling could not be achieved as in the IP case, leaving the Fock/Koopmans' contributions in the canonical basis and using a tighter threshold for singles PNOs allows us to compute accurate EAs and retain most of the efficiency of the DLPNO technique. Thus as in the IP case, the ground state truncation parameters are sufficient to control the accuracy of the computed EA values, although a new set of integrals for singles PNOs must be generated at the DLPNO integral transformation step. Using standard settings, our method reproduces the canonical results with a maximum absolute deviation of 49 meV for bound states of a test set of 24 molecules. Using the same settings, a calculation involving more than 4500 basis functions, including diffuse functions, takes four days on four cores, with only 48 min spent in the EA module itself.

How to cite this publication

Achintya Kumar Dutta, Masaaki Saitow, Baptiste Démoulin, Frank Neese, Róbert Izsák (2019). A domain-based local pair natural orbital implementation of the equation of motion coupled cluster method for electron attached states. The Journal of Chemical Physics, 150(16), DOI: 10.1063/1.5089637.

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Publication Details

Type

Article

Year

2019

Authors

5

Datasets

0

Total Files

0

Language

English

Journal

The Journal of Chemical Physics

DOI

10.1063/1.5089637

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