Literature DB >> 16833631

Accurate calculation of the heats of formation for large main group compounds with spin-component scaled MP2 methods.

Stefan Grimme1.   

Abstract

Three MP2-type electron correlation treatments and standard density functional theory (DFT) approaches are used to predict the heats of formation for a wide variety of different molecules. The SCF and MP2 calculations are performed efficiently using the resolution-of-the-identity (RI) approximation such that large basis set (i.e., polarized valence quadruple-zeta quality) treatments become routinely possible for systems with 50-100 atoms. An atom equivalent scheme that corrects the calculated atomic energies is applied to extract the "real" accuracy of the methods for chemically relevant problems. It is found that the spin-component-scaled MP2 method (SCS-MP2, J. Chem. Phys, 2003, 118, 9095) performs best and provides chemical accuracy (MAD of 1.18 kcal/mol) for a G2/97 test set of molecules. The computationally more economical SOS-MP2 variant, which retains only the opposite-spin part of the correlation energy, is slightly less accurate (MAD of 1.36 kcal/mol) than SCS-MP2. Both spin-component-scaled MP2 treatments perform significantly better than standard MP2 (MAD of 1.77 kcal/mol) and DFT-B3LYP (MAD of 2.12 kcal/mol). These conclusions are supported by results obtained for a second test set of complex systems containing 70 molecules, including charged, strained, polyhalogenated, hypervalent, and large unsaturated species (e.g. C60). For this set, DFT-B3LYP performs badly (MAD of 8.6 kcal/mol) with many errors >10-20 kcal/mol while the spin-component-scaled MP2 methods are still very accurate (MAD of 2.8 and 3.7 kcal/mol, respectively). DFT-B3LYP shows an obvious tendency to underestimate molecular stability as the system size increases. Out of six density functionals tested, the hybrid functional PBE0 performs best. All in all, the SCS-MP2 method, together with large AO basis sets, clearly outperforms current DFT approaches and seems to be the most accurate quantum chemical model that routinely can predict the thermodynamic properties of large main group compounds.

Entities:  

Year:  2005        PMID: 16833631     DOI: 10.1021/jp050036j

Source DB:  PubMed          Journal:  J Phys Chem A        ISSN: 1089-5639            Impact factor:   2.781


  8 in total

1.  Conformationally locked lanthanide chelating tags for convenient pseudocontact shift protein nuclear magnetic resonance spectroscopy.

Authors:  Daniel Joss; Roché M Walliser; Kaspar Zimmermann; Daniel Häussinger
Journal:  J Biomol NMR       Date:  2018-08-16       Impact factor: 2.835

2.  The Bonding Situation in Metalated Ylides.

Authors:  Lennart T Scharf; Diego M Andrada; Gernot Frenking; Viktoria H Gessner
Journal:  Chemistry       Date:  2017-03-07       Impact factor: 5.236

3.  A Quadratic Pair Atomic Resolution of the Identity Based SOS-AO-MP2 Algorithm Using Slater Type Orbitals.

Authors:  Arno Förster; Mirko Franchini; Erik van Lenthe; Lucas Visscher
Journal:  J Chem Theory Comput       Date:  2020-01-24       Impact factor: 6.006

4.  Accurate predictions of the electronic excited states of BODIPY based dye sensitizers using spin-component-scaled double-hybrid functionals: a TD-DFT benchmark study.

Authors:  Qabas Alkhatib; Wissam Helal; Ali Marashdeh
Journal:  RSC Adv       Date:  2022-01-11       Impact factor: 3.361

5.  Four-Coordinate Fe N2 and Imido Complexes Supported by a Hemilabile NNC Heteroscorpionate Ligand.

Authors:  Alex McSkimming; Niklas B Thompson
Journal:  Inorg Chem       Date:  2022-07-27       Impact factor: 5.436

6.  Benefits of Range-Separated Hybrid and Double-Hybrid Functionals for a Large and Diverse Data Set of Reaction Energies and Barrier Heights.

Authors:  Golokesh Santra; Rivka Calinsky; Jan M L Martin
Journal:  J Phys Chem A       Date:  2022-08-05       Impact factor: 2.944

7.  Capturing the Catalytic Proton of Dihydrofolate Reductase: Implications for General Acid-Base Catalysis.

Authors:  Qun Wan; Brad C Bennett; Troy Wymore; Zhihong Li; Mark A Wilson; Charles L Brooks; Paul Langan; Andrey Kovalevsky; Chris G Dealwis
Journal:  ACS Catal       Date:  2021-04-28       Impact factor: 13.084

8.  Microsolvation of the Redox-Active Tyrosine-D in Photosystem II: Correlation of Energetics with EPR Spectroscopy and Oxidation-Induced Proton Transfer.

Authors:  Abhishek Sirohiwal; Frank Neese; Dimitrios A Pantazis
Journal:  J Am Chem Soc       Date:  2019-02-06       Impact factor: 15.419

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.