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  5. Data for "Workhorse minimally-empirical dispersion-corrected density functional, with tests for weakly-bound systems: r2 SCAN + rVV10"

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Preprint
en
2022

Data for "Workhorse minimally-empirical dispersion-corrected density functional, with tests for weakly-bound systems: r2 SCAN + rVV10"

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0 Files

en
2022
DOI: 10.48550/arxiv.2204.11717arxiv.org/abs/2204.11717

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John P Perdew
John P Perdew

Tulane University

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Jinliang Ning
Manish Kothakonda
James W. Furness
+5 more

Abstract

SCAN+rVV10 has been demonstrated to be a versatile van der Waals (vdW) density functional that delivers good predictions of both energetic and structural properties for many types of bonding. Recently, the r$^{2}$SCAN functional has been devised as a revised form of SCAN with improved numerical stability. In this work, we refit the rVV10 functional to optimize the r$^{2}$SCAN+rVV10 vdW density functional, and test its performance for molecular interactions and layered materials. Our molecular tests demonstrate that r$^{2}$SCAN+rVV10 outperforms its predecessor SCAN+rVV10 in both efficiency (numerical stability) and accuracy. This good performance is also found in lattice constant predictions. In comparison with benchmark results from higher-level theories or experiments, r$^{2}$SCAN+rVV10 yields excellent interlayer binding energies and phonon dispersions for layered materials.

How to cite this publication

Jinliang Ning, Manish Kothakonda, James W. Furness, Aaron D. Kaplan, Sebastian Ehlert, Jan Gerit Brandenburg, John P Perdew, Jianwei Sun (2022). Data for "Workhorse minimally-empirical dispersion-corrected density functional, with tests for weakly-bound systems: r2 SCAN + rVV10". , DOI: https://doi.org/10.48550/arxiv.2204.11717.

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Publication Details

Type

Preprint

Year

2022

Authors

8

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.48550/arxiv.2204.11717

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