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Large-Scale Benchmarking of Multireference Vertical-Excitation Calculations via Automated Active-Space Selection

[Image: see text] We have calculated state-averaged complete-active-space self-consistent-field (SA-CASSCF), multiconfiguration pair-density functional theory (MC-PDFT), hybrid MC-PDFT (HMC-PDFT), and n-electron valence state second-order perturbation theory (NEVPT2) excitation energies with the app...

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Autores principales: King, Daniel S., Hermes, Matthew R., Truhlar, Donald G., Gagliardi, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558375/
https://www.ncbi.nlm.nih.gov/pubmed/36112354
http://dx.doi.org/10.1021/acs.jctc.2c00630
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author King, Daniel S.
Hermes, Matthew R.
Truhlar, Donald G.
Gagliardi, Laura
author_facet King, Daniel S.
Hermes, Matthew R.
Truhlar, Donald G.
Gagliardi, Laura
author_sort King, Daniel S.
collection PubMed
description [Image: see text] We have calculated state-averaged complete-active-space self-consistent-field (SA-CASSCF), multiconfiguration pair-density functional theory (MC-PDFT), hybrid MC-PDFT (HMC-PDFT), and n-electron valence state second-order perturbation theory (NEVPT2) excitation energies with the approximate pair coefficient (APC) automated active-space selection scheme for the QUESTDB benchmark database of 542 vertical excitation energies. We eliminated poor active spaces (20–40% of calculations) by applying a threshold to the SA-CASSCF absolute error. With the remaining calculations, we find that NEVPT2 performance is significantly impacted by the size of the basis set the wave functions are converged in, regardless of the quality of their description, which is a problem absent in MC-PDFT. Additionally, we find that HMC-PDFT is a significant improvement over MC-PDFT with the translated PBE (tPBE) density functional and that it performs about as well as NEVPT2 and second-order coupled cluster on a set of 373 excitations in the QUESTDB database. We optimized the percentage of SA-CASSCF energy to include in HMC-PDFT when using the tPBE on-top functional, and we find the 25% value used in tPBE0 to be optimal. This work is by far the largest benchmarking of MC-PDFT and HMC-PDFT to date, and the data produced in this work are useful as a validation of HMC-PDFT and of the APC active-space selection scheme. We have made all the wave functions produced in this work (orbitals and CI vectors) available to the public and encourage the community to utilize this data as a tool in the development of further multireference model chemistries.
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spelling pubmed-95583752022-10-14 Large-Scale Benchmarking of Multireference Vertical-Excitation Calculations via Automated Active-Space Selection King, Daniel S. Hermes, Matthew R. Truhlar, Donald G. Gagliardi, Laura J Chem Theory Comput [Image: see text] We have calculated state-averaged complete-active-space self-consistent-field (SA-CASSCF), multiconfiguration pair-density functional theory (MC-PDFT), hybrid MC-PDFT (HMC-PDFT), and n-electron valence state second-order perturbation theory (NEVPT2) excitation energies with the approximate pair coefficient (APC) automated active-space selection scheme for the QUESTDB benchmark database of 542 vertical excitation energies. We eliminated poor active spaces (20–40% of calculations) by applying a threshold to the SA-CASSCF absolute error. With the remaining calculations, we find that NEVPT2 performance is significantly impacted by the size of the basis set the wave functions are converged in, regardless of the quality of their description, which is a problem absent in MC-PDFT. Additionally, we find that HMC-PDFT is a significant improvement over MC-PDFT with the translated PBE (tPBE) density functional and that it performs about as well as NEVPT2 and second-order coupled cluster on a set of 373 excitations in the QUESTDB database. We optimized the percentage of SA-CASSCF energy to include in HMC-PDFT when using the tPBE on-top functional, and we find the 25% value used in tPBE0 to be optimal. This work is by far the largest benchmarking of MC-PDFT and HMC-PDFT to date, and the data produced in this work are useful as a validation of HMC-PDFT and of the APC active-space selection scheme. We have made all the wave functions produced in this work (orbitals and CI vectors) available to the public and encourage the community to utilize this data as a tool in the development of further multireference model chemistries. American Chemical Society 2022-09-16 2022-10-11 /pmc/articles/PMC9558375/ /pubmed/36112354 http://dx.doi.org/10.1021/acs.jctc.2c00630 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle King, Daniel S.
Hermes, Matthew R.
Truhlar, Donald G.
Gagliardi, Laura
Large-Scale Benchmarking of Multireference Vertical-Excitation Calculations via Automated Active-Space Selection
title Large-Scale Benchmarking of Multireference Vertical-Excitation Calculations via Automated Active-Space Selection
title_full Large-Scale Benchmarking of Multireference Vertical-Excitation Calculations via Automated Active-Space Selection
title_fullStr Large-Scale Benchmarking of Multireference Vertical-Excitation Calculations via Automated Active-Space Selection
title_full_unstemmed Large-Scale Benchmarking of Multireference Vertical-Excitation Calculations via Automated Active-Space Selection
title_short Large-Scale Benchmarking of Multireference Vertical-Excitation Calculations via Automated Active-Space Selection
title_sort large-scale benchmarking of multireference vertical-excitation calculations via automated active-space selection
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558375/
https://www.ncbi.nlm.nih.gov/pubmed/36112354
http://dx.doi.org/10.1021/acs.jctc.2c00630
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