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  5. SparseMaps—A systematic infrastructure for reduced-scaling electronic structure methods. VI. Linear-scaling explicitly correlated N-electron valence state perturbation theory with pair natural orbital

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Article
English
2023

SparseMaps—A systematic infrastructure for reduced-scaling electronic structure methods. VI. Linear-scaling explicitly correlated N-electron valence state perturbation theory with pair natural orbital

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0 Files

English
2023
The Journal of Chemical Physics
Vol 158 (12)
DOI: 10.1063/5.0144260

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Frank Neese
Frank Neese

Max Planck

Verified
Yang Guo
Fabijan Pavošević
Kantharuban Sivalingam
+3 more

Abstract

In this work, a linear scaling explicitly correlated N-electron valence state perturbation theory (NEVPT2-F12) is presented. By using the idea of a domain-based local pair natural orbital (DLPNO), computational scaling of the conventional NEVPT2-F12 is reduced to near-linear scaling. For low-lying excited states of organic molecules, the excitation energies predicted by DLPNO-NEVPT2-F12 are as accurate as the exact NEVPT2-F12 results. Some cluster models of rhodopsin are studied using the new algorithm. Our new method is able to study systems with more than 3300 basis functions and an active space containing 12 π-electrons and 12 π-orbitals. However, even larger calculations or active spaces would still be feasible.

How to cite this publication

Yang Guo, Fabijan Pavošević, Kantharuban Sivalingam, Ute Becker, Edward F. Valeev, Frank Neese (2023). SparseMaps—A systematic infrastructure for reduced-scaling electronic structure methods. VI. Linear-scaling explicitly correlated N-electron valence state perturbation theory with pair natural orbital. The Journal of Chemical Physics, 158(12), DOI: 10.1063/5.0144260.

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Publication Details

Type

Article

Year

2023

Authors

6

Datasets

0

Total Files

0

Language

English

Journal

The Journal of Chemical Physics

DOI

10.1063/5.0144260

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