Workhorse minimally-empirical dispersion-corrected density functional, with tests for weakly-bound systems: r$^{2}$SCAN+rVV10
Jinliang Ning, Manish Kothakonda, James W. Furness, Aaron D. Kaplan,, Sebastian Ehlert, Jan Gerit Brandenburg, John P. Perdew, and Jianwei Sun

TL;DR
This paper refines the r$^{2}$SCAN+rVV10 density functional to enhance accuracy and stability, demonstrating superior performance in predicting molecular interactions, layered material properties, and interlayer binding energies compared to previous methods.
Contribution
The paper introduces a refitted r$^{2}$SCAN+rVV10 functional with improved numerical stability and accuracy for weakly-bound systems and layered materials.
Findings
Outperforms SCAN+rVV10 in efficiency and accuracy
Accurately predicts lattice constants and interlayer binding energies
Provides excellent phonon dispersion results
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 rSCAN 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 rSCAN+rVV10 vdW density functional, and test its performance for molecular interactions and layered materials. Our molecular tests demonstrate that rSCAN+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, rSCAN+rVV10 yields excellent interlayer binding energies and phonon dispersions for layered materials.
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Taxonomy
TopicsBoron and Carbon Nanomaterials Research · Superconductivity in MgB2 and Alloys · Machine Learning in Materials Science
