The Journal of Physical Chemistry Letters · 2016 · 553 citations · 63 references
Natural SciencesChemistryPhysicsComputational ChemistryCrystal StructureMolecular PhysicsAb Initio MethodsDensity Functional TheoryIntermolecular ForcesMolecular SymmetryStructure DeterminationAromatic Side Chain InteractionsDispersion Corrections
Since the original fitting of Grimme's DFT-D3 damping parameters, the number and quality of benchmark interaction energies has increased significantly. Here, conventional benchmark sets, which focus on minimum-orientation radial curves at the expense of angular diversity, are augmented by new databases such as side chain-side chain interactions (SSI), which are composed of interactions gleaned from crystal data and contain no such minima-focused bias. Moreover, some existing databases such as S22×5 are extended to shorter intermolecular separations. This improved DFT-D3 training set provides a balanced description of distances, covers the entire range of interaction types, and at 1526 data points is far larger than the original training set of 130. The results are validated against a new collection of 6773 data points and demonstrate that the effect of refitting the damping parameters ranges from no change in accuracy (LC-ωPBE-D3) to an almost 2-fold decrease in average error (PBE-D3).
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Generalized Gradient Approximation Made Simple
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