Literature DB >> 26614324

A General Database for Main Group Thermochemistry, Kinetics, and Noncovalent Interactions - Assessment of Common and Reparameterized (meta-)GGA Density Functionals.

Lars Goerigk1, Stefan Grimme1.   

Abstract

We present a quantum chemistry benchmark database for general main group thermochemistry, kinetics, and noncovalent interactions (GMTKN24). It is an unprecedented compilation of 24 different, chemically relevant subsets that either are taken from already existing databases or are presented here for the first time. The complete set involves a total of 1.049 atomic and molecular single point calculations and comprises 731 data points (relative chemical energies) based on accurate theoretical or experimental reference values. The usefulness of the GMTKN24 database is shown by applying common density functionals on the (meta-)generalized gradient approximation (GGA), hybrid-GGA, and double-hybrid-GGA levels to it, including an empirical London dispersion correction. Furthermore, we refitted the functional parameters of four (meta-)GGA functionals based on a fit set containing 143 systems, comprising seven chemically different problems. Validation against the GMTKN24 and the molecular structure (bond lengths) databases shows that the reparameterization does not change bond lengths much, whereas the description of energetic properties is more prone to the parameters' values. The empirical dispersion correction also often improves for conventional thermodynamic problems and makes a functional's performance more uniform over the entire database. The refitted functionals typically have a lower mean absolute deviation for the majority of subsets in the proposed GMTKN24 set. This, however, is also often accompanied at the expense of poor performance for a few other important subsets. Thus, creating a broadly applicable (and overall better) functional by just reparameterizing existing ones seems to be difficult. Nevertheless, this benchmark study reveals that a reoptimized (i.e., empirical) version of the TPSS-D functional (oTPSS-D) performs well for a variety of problems and may meet the standards of an improved functional. We propose validation against this new compilation of benchmark sets as a definitive way to evaluate a new quantum chemical method's true performance.

Year:  2009        PMID: 26614324     DOI: 10.1021/ct900489g

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  25 in total

1.  The assessment and application of an approach to noncovalent interactions: the energy decomposition analysis (EDA) in combination with DFT of revised dispersion correction (DFT-D3) with Slater-type orbital (STO) basis set.

Authors:  Wei Gao; Huajie Feng; Xiaopeng Xuan; Liuping Chen
Journal:  J Mol Model       Date:  2012-05-29       Impact factor: 1.810

2.  Benchmarking density functional tight binding models for barrier heights and reaction energetics of organic molecules.

Authors:  Maja Gruden; Ljubica Andjeklović; Akkarapattiakal Kuriappan Jissy; Stepan Stepanović; Matija Zlatar; Qiang Cui; Marcus Elstner
Journal:  J Comput Chem       Date:  2017-07-24       Impact factor: 3.376

3.  Survival of the most transferable at the top of Jacob's ladder: Defining and testing the ωB97M(2) double hybrid density functional.

Authors:  Narbe Mardirossian; Martin Head-Gordon
Journal:  J Chem Phys       Date:  2018-06-28       Impact factor: 3.488

4.  Blind prediction of host-guest binding affinities: a new SAMPL3 challenge.

Authors:  Hari S Muddana; C Daniel Varnado; Christopher W Bielawski; Adam R Urbach; Lyle Isaacs; Matthew T Geballe; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2012-02-25       Impact factor: 3.686

5.  A Minimum Quantum Chemistry CCSD(T)/CBS Data Set of Dimeric Interaction Energies for Small Organic Functional Groups: Heterodimers.

Authors:  Hsing-Hsiang Huang; Yi-Siang Wang; Sheng D Chao
Journal:  ACS Omega       Date:  2022-05-31

6.  The accuracy of quantum chemical methods for large noncovalent complexes.

Authors:  Robert Sedlak; Tomasz Janowski; Michal Pitoňák; Jan Rezáč; Peter Pulay; Pavel Hobza
Journal:  J Chem Theory Comput       Date:  2013-08-13       Impact factor: 6.006

7.  Optimization of parameters for semiempirical methods VI: more modifications to the NDDO approximations and re-optimization of parameters.

Authors:  James J P Stewart
Journal:  J Mol Model       Date:  2012-11-28       Impact factor: 1.810

8.  SAMPL6 host-guest challenge: binding free energies via a multistep approach.

Authors:  Yiğitcan Eken; Prajay Patel; Thomas Díaz; Michael R Jones; Angela K Wilson
Journal:  J Comput Aided Mol Des       Date:  2018-09-17       Impact factor: 3.686

9.  S66: A Well-balanced Database of Benchmark Interaction Energies Relevant to Biomolecular Structures.

Authors:  Jan Rezáč; Kevin E Riley; Pavel Hobza
Journal:  J Chem Theory Comput       Date:  2011-07-01       Impact factor: 6.006

10.  Benchmark study of the performance of density functional theory for bond activations with (ni,pd)-based transition-metal catalysts.

Authors:  Marc Steinmetz; Stefan Grimme
Journal:  ChemistryOpen       Date:  2013-06-03       Impact factor: 2.911

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