3 years ago

W4-17: A diverse and high-confidence dataset of atomization energies for benchmarking high-level electronic structure methods

W4-17: A diverse and high-confidence dataset of atomization energies for benchmarking high-level electronic structure methods
Jan M. L. Martin, Amir Karton, Nitai Sylvetsky
Atomization reactions are among the most challenging tests for electronic structure methods. We use the first-principles Weizmann-4 (W4) computational thermochemistry protocol to generate the W4-17 dataset of 200 total atomization energies (TAEs) with 3σ confidence intervals of 1 kJ mol−1. W4-17 is an extension of the earlier W4-11 dataset; it includes first- and second-row molecules and radicals with up to eight non-hydrogen atoms. These cover a broad spectrum of bonding situations and multireference character, and as such are an excellent benchmark for the parameterization and validation of highly accurate ab initio methods (e.g., CCSD(T) composite procedures) and double-hybrid density functional theory (DHDFT) methods. The W4-17 dataset contains two subsets (i) a non-multireference subset of 183 systems characterized by dynamical or moderate nondynamical correlation effects (denoted W4-17-nonMR) and (ii) a highly multireference subset of 17 systems (W4-17-MR). We use these databases to evaluate the performance of a wide range of CCSD(T) composite procedures (e.g., G4, G4(MP2), G4(MP2)-6X, ROG4(MP2)-6X, CBS-QB3, ROCBS-QB3, CBS-APNO, ccCA-PS3, W1, W2, W1-F12, W2-F12, W1X-1, and W2X) and DHDFT methods (e.g., B2-PLYP, B2GP-PLYP, B2K-PLYP, DSD-BLYP, DSD-PBEP86, PWPB95, ωB97X-2(LP), and ωB97X-2(TQZ)). © 2017 Wiley Periodicals, Inc. We use the first-principles Weizmann-4 computational thermochemistry protocol to generate the W4-17 dataset of 200 total atomization energies with 3σ confidence intervals of 1 kJ mol−1. The W4-17 dataset includes a diverse set of organic and inorganic systems; including cyclic and noncyclic molecules and radicals with up to eight non-hydrogen atoms. We use this database to evaluate the performance of a wide range of CCSD(T)-based composite procedures and double-hybrid DFT methods.

Publisher URL: http://onlinelibrary.wiley.com/resolve/doi

DOI: 10.1002/jcc.24854

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