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r2SCAN-D4: Dispersion corrected meta-generalized gradient approximation for general chemical applications

Sebastian Ehlert, Uwe Huniar, Jinliang Ning, James W. Furness, Jianwei Sun, Aaron D. Kaplan, John P. Perdew, Jan Gerit Brandenburg

2021The Journal of Chemical Physics165 citationsDOIOpen Access PDF

Abstract

We combine a regularized variant of the strongly constrained and appropriately normed semilocal density functional [J. Sun, A. Ruzsinszky, and J. P. Perdew, Phys. Rev. Lett. 115, 036402 (2015)] with the latest generation semi-classical London dispersion correction. The resulting density functional approximation r2SCAN-D4 has the speed of generalized gradient approximations while approaching the accuracy of hybrid functionals for general chemical applications. We demonstrate its numerical robustness in real-life settings and benchmark molecular geometries, general main group and organo-metallic thermochemistry, and non-covalent interactions in supramolecular complexes and molecular crystals. Main group and transition metal bond lengths have errors of just 0.8%, which is competitive with hybrid functionals for main group molecules and outperforms them for transition metal complexes. The weighted mean absolute deviation (WTMAD2) on the large GMTKN55 database of chemical properties is exceptionally small at 7.5 kcal/mol. This also holds for metal organic reactions with an MAD of 3.3 kcal/mol. The versatile applicability to organic and metal–organic systems transfers to condensed systems, where lattice energies of molecular crystals are within the chemical accuracy (errors <1 kcal/mol).

Topics & Concepts

Density functional theoryHybrid functionalDispersion (optics)Lattice (music)Statistical physicsRobustness (evolution)MoleculeBond lengthChemical bondMaterials sciencePhysicsChemistryComputational chemistryDensity gradientGroup (periodic table)Transition metalChemical physicsMolecular dynamicsMolecular physicsMean field theoryAdditive functionBenchmark (surveying)MathematicsThermodynamicsMetalSupramolecular chemistryWork (physics)ScalingComputational physicsMachine Learning in Materials ScienceAdvanced Chemical Physics StudiesAdvanced Physical and Chemical Molecular Interactions