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Hybrid Meta Density Functional Theory Methods for Thermochemistry, Thermochemical Kinetics, and Noncovalent Interactions: The MPW1B95 and MPWB1K Models and Comparative Assessments for Hydrogen Bonding and van der Waals Interactions
Abstract
Based on the modified Perdew and Wang exchange functional (MPW) and Becke's 1995 correlation functional (B95), we developed two hybrid meta density functional theory (HMDFT) methods, namely MPW1B95 and MPWB1K. In addition, based on the new X functional of Xin and Goddard, again combined with B95 correlation functional, we developed two other new HMDFT methods, X1B95 and XB1K. MPW1B95 and X1B95 were optimized against a representative database of six atomization energies (AE6). MPWB1K and XB1K were optimized against a kinetics database of three forward barrier heights, three reverse barrier heights, and three energies of reaction for the reactions in the BH6 representative barrier height database. We compared the newly developed methods to other HMDFT and hybrid DFT methods for atomization energies, ionization potentials, electron affinities, barrier heights, saddle point geometries, hydrogen bonding, and weak van der Waals weak interactions. In addition, we optimized scaling factors for calculating zero-point energies from vibrational frequencies. The results show that the MPWB1K and XB1K methods give good results for thermochemistry, thermochemical kinetics, hydrogen bonding, and weak interactions, and they give excellent saddle point geometries. MPW1B95 and X1B95 are suitable for general applications in thermochemistry, and they give good performance for hydrogen bonding and weak interaction calculations.
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Cites
Generalized Gradient Approximation Made Simple
Perdew, J. P., Burke, K., & Ernzerhof, M. (1996) · Physical Review Letters · doi:10.1103/physrevlett.77.3865 · Cited by 215,824
Density-functional thermochemistry. III. The role of exact exchange
Becke, A. D. (1993) · The Journal of Chemical Physics · doi:10.1063/1.464913 · Cited by 103,767
Lee, C., Yang, W., & Parr, R. G. (1988) · Physical Review B · doi:10.1103/physrevb.37.785 · Cited by 100,874
CRC Handbook of Chemistry and Physics
(2014) · doi:10.1201/b17118 · Cited by 57,706
A new mixing of Hartree–Fock and local density-functional theories
Becke, A. D. (1993) · The Journal of Chemical Physics · doi:10.1063/1.464304 · Cited by 16,515
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Grimme, S. (2011) · WIREs Computational Molecular Science · doi:10.1002/wcms.30 · Cited by 2,829
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Merrick, J. P., Moran, D., & Radom, L. (2007) · The Journal of Physical Chemistry A · doi:10.1021/jp073974n · Cited by 2,735
Mardirossian, N., & Head-Gordon, M. (2017) · Molecular Physics · doi:10.1080/00268976.2017.1333644 · Cited by 2,307
Goerigk, L., Hansen, A., Bauer, C., Ehrlich, S., Najibi, A., & Grimme, S. (2017) · Physical Chemistry Chemical Physics · doi:10.1039/c7cp04913g · Cited by 1,894
Alecu, I. M., Zheng, J., Zhao, Y., & Truhlar, D. G. (2010) · Journal of Chemical Theory and Computation · doi:10.1021/ct100326h · Cited by 1,667
Self-citationDensity functional theory for transition metals and transition metal chemistry
Cramer, C. J., & Truhlar, D. G. (2009) · Physical Chemistry Chemical Physics · doi:10.1039/b907148b · Cited by 1,648
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Bursch, M., Mewes, J., Hansen, A., & Grimme, S. (2022) · Angewandte Chemie International Edition · doi:10.1002/anie.202205735 · Cited by 890
Riley, K. E., Pitoňák, M., Jurečka, P., & Hobza, P. (2010) · Chemical Reviews · doi:10.1021/cr1000173 · Cited by 759
Peverati, R., & Truhlar, D. G. (2014) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2012.0476 · Cited by 734
Self-citationLibxc: A library of exchange and correlation functionals for density functional theory
Marques, M. A. L., Oliveira, M. J. T., & Burnus, T. (2012) · Computer Physics Communications · doi:10.1016/j.cpc.2012.05.007 · Cited by 592
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Liao, X., Lu, R., Xia, L., Liu, Q., Wang, H., Zhao, K., Wang, Z., & Zhao, Y. (2022) · ENERGY & ENVIRONMENTAL MATERIALS · doi:10.1002/eem2.12204 · Cited by 420
Self-citationCRYSTAL23: A Program for Computational Solid State Physics and Chemistry
Erba, A., Desmarais, J. K., Casassa, S., Civalleri, B., Donà, L., Bush, I. J., Searle, B., Maschio, L., Edith-Daga, L., Cossard, A., et al. (2023) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.2c00958 · Cited by 367
Goerigk, L., Kruse, H., & Grimme, S. (2011) · ChemPhysChem · doi:10.1002/cphc.201100826 · Cited by 323
Galano, A., & Alvarez‐Idaboy, J. R. (2014) · Journal of Computational Chemistry · doi:10.1002/jcc.23715 · Cited by 294
Ess, D. H., Jones, G. O., & Houk, K. N. (2006) · Advanced Synthesis & Catalysis · doi:10.1002/adsc.200600431 · Cited by 285
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Metadata
- Authors
- Zhao, Y., & Truhlar, D. G.
- Venue
- The Journal of Physical Chemistry A
- Publisher
- American Chemical Society (ACS)
- Published
- 2004-07-28
- Volume
- 108
- Issue
- 33
- Pages
- 6908-6918
- ISSN
- 1089-5639 (ISSN-L)
- 1520-5215
- OpenAlex
- W2157883438
- Cited by
- 1,548
- References
- 5
- FWCI
- 35.42
- Type
- journal article
- Language
- en
- Open access
- closed
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