Performance of the strongly constrained and appropriately normed density functional for solid-state materials

Eric B. Isaacs, Chris Wolverton

Research output: Contribution to journalArticlepeer-review

90 Scopus citations


Constructed to satisfy 17 known exact constraints 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 1000 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 generalized gradient approximation of Perdew, Burke, and Ernzerhof (PBE). However, for intermetallic compounds, SCAN performs moderately worse than PBE with an increase in formation energy error of approximately 20%, stemming from SCAN's distinct behavior in the weak bonding regime. The formation energy errors can be further reduced via elemental chemical potential fitting. We find that SCAN leads to significantly more accurate predicted crystal volumes, moderately enhanced magnetism, and mildly improved band gaps as compared to PBE. Overall, SCAN represents a significant improvement in accurately describing the thermodynamics of strongly bound compounds.

Original languageEnglish (US)
Article number063801
JournalPhysical Review Materials
Issue number6
StatePublished - Jun 22 2018

ASJC Scopus subject areas

  • Materials Science(all)
  • Physics and Astronomy (miscellaneous)


Dive into the research topics of 'Performance of the strongly constrained and appropriately normed density functional for solid-state materials'. Together they form a unique fingerprint.

Cite this