Performance of the strongly constrained and appropriately normed density functional for solid-state materials
Eric B. Isaacs, Chris Wolverton

TL;DR
The SCAN density functional improves the accuracy of formation energy predictions and structural properties for solid-state materials, especially strongly-bound compounds, by satisfying known physical constraints.
Contribution
This study provides an extensive benchmark of the SCAN functional's performance on nearly a thousand crystalline compounds, highlighting its strengths and limitations.
Findings
SCAN reduces formation energy errors for strongly-bound compounds by 50%.
SCAN predicts more accurate crystal volumes and improves band gap estimates.
SCAN performs moderately worse than PBE for intermetallic compounds.
Abstract
Constructed to satisfy all known exact constraints and appropriate norms for a semilocal density functional, the strongly constrained and appropriately normed (SCAN) meta-generalized gradient approximation functional has shown early promise for accurately describing the electronic structure of molecules and solids. One open question is how well SCAN predicts the formation energy, a key quantity for describing the thermodynamic stability of solid-state compounds. To answer this question, we perform an extensive benchmark of SCAN by computing the formation energies for a diverse group of nearly one thousand crystalline compounds for which experimental values are known. Due to an enhanced exchange interaction in the covalent bonding regime, SCAN substantially decreases the formation energy errors for strongly-bound compounds, by approximately 50% to 110 meV/atom, as compared to the…
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