Minnesota functionals

Minnesota Functionals (Myz) are a group of approximate exchange-correlation energy functionals in density functional theory (DFT). They are developed by the group of Prof. Donald Truhlar at the University of Minnesota. These functionals are based on the meta-GGA approximation, i.e. they include terms that depend on the kinetic energy density, and are all based on complicated functional forms parametrized on high-quality benchmark databases. These functionals can be used for traditional quantum chemistry and solid-state physics calculations. The Myz functionals are widely used and tested in the quantum chemistry community.[1][2][3][4] Independent evaluations of the strenghs and limitations of the Myz functionals with respect to various chemical properties have, however, cast doubts on the accuracy Minnesota functionals, with the newer functionals being less accurate than the older ones.[5] [6] [7] Minnesota functionals are available in a large number of popular quantum chemistry computer programs.

Family of functionals

Minnesota 05

The first family of Minnesota functionals, published in 2005, is composed by:

Minnesota 06

The '06 family represent a general improvement over the 05 family and is composed of:

Minnesota 08

The '08 family was created with the primary intent to improve the M06-2X functional form, retaining the performances for main group thermochemistry, kinetics and non-covalent interactions. This family is composed by two functionals with a high percentage of HF exchange, with performances similar to those of M06-2X:

Minnesota 11

The '11 family introduces range-separation in the Minnesota functionals and modifications in the functional form and in the training databases. These modifications also cut the number of functionals in a complete family from 4 (M06-L, M06, M06-2X and M06-HF) to just 2:

Minnesota 12

The 12 family uses a Nonseparable[16] (MN) functional form aiming to provide balanced performance for both chemistry and solid-state physics applications. It is composed by:

Main Software with Implementation of the Minnesota Functionals

PackageM05M05-2XM06-LM06M06-2XM06-HFM08-HXM08-SOM11-LM11MN12-LMN12-SXMN15-L
ADF Yes*Yes*YesYesYesYes Yes*Yes*Yes*YesYes*YesYes*
GAMESS (US) YesYesYesYesYesYes YesYesYesYesNoNoNo
Gaussian YesYesYesYesYesYes YesYesYesYesYesYesNo
Jaguar YesYesYesYesYesYes YesYesYesYesNoNoNo
Libxc YesYesYesYesYesYes YesYesYesYesYesYesYes
MOLCAS YesYesYesYesYesYes YesYesNoNoNoNoNo
MOLPRO YesYesYesYesYesYes YesYesYesNoNoNoNo
NWChem YesYesYesYesYesYes YesYesYesYesNoNoNo
Orca NoNoYesYesYesNo NoNoNoNoNoNoNo
PSI YesYesNoNoNoNo NoNoNoNoNoNoNo
Q-Chem YesYesYesYesYesYes YesYesYesYesYesYesNo
Quantum ESPRESSO NoNoYesNoNoNo NoNoNoNoNoNoNo
TURBOMOLE NoNoYesYesYesNo NoNoNoNoNoNoNo
VASP NoNoYesNoNoNo NoNoNoNoNoNoNo

* Using LibXC.

References

  1. A.J. Cohen, P. Mori-Sánchez and W. Yang (2012). "Challenges for Density Functional Theory". Chemical Reviews. 112 (1): 289–320. doi:10.1021/cr200107z. PMID 22191548.
  2. E.G. Hohenstein, S.T. Chill & C.D. Sherrill (2008). "Assessment of the Performance of the M05−2X and M06−2X Exchange-Correlation Functionals for Noncovalent Interactions in Biomolecules". Journal of Chemical Theory and Computation. 4 (12): 1996–2000. doi:10.1021/ct800308k.
  3. K.E. Riley, M Pitoňák, P. Jurečka and P. Hobza (2010). "Stabilization and Structure Calculations for Noncovalent Interactions in Extended Molecular Systems Based on Wave Function and Density Functional Theories". Chemical Reviews. 110 (9): 5023–63. doi:10.1021/cr1000173. PMID 20486691.
  4. L. Ferrighi, Y. Pan, H. Grönbeck and B. Hammer (2012). "Study of Alkylthiolate Self-assembled Monolayers on Au(111) Using a Semilocal meta-GGA Density Functional". Journal of Physical Chemistry. 116: 7374–7379. doi:10.1021/jp210869r.
  5. N. Mardirossian and M. Head-Gordon (2013). "Characterizing and Understanding the Remarkably Slow Basis Set Convergence of Several Minnesota Density Functionals for Intermolecular Interaction Energies". Journal of Chemical Theory and Computation. 9: 4453–4461. doi:10.1021/ct400660j.
  6. L. Goerigk (2015). "Treating London-Dispersion Effects with the Latest Minnesota Density Functionals: Problems and Possible Solutions". Journal of Physical Chemistry Letters. 6: 3891–3896. doi:10.1021/acs.jpclett.5b01591.
  7. N. Mardirossian and M. Head-Gordon (2016). "How accurate are the Minnesota density functionals for non-covalent interactions, isomerization energies, thermochemistry, and barrier heights involving molecules composed of main-group elements?". Journal of Chemical Theory and Computation. doi:10.1021/acs.jctc.6b00637.
  8. Y. Zhao, N.E. Schultz & D.G. Truhlar (2005). "Exchange-correlation functional with broad accuracy for metallic and nonmetallic compounds, kinetics, and noncovalent interactions". Journal of Chemical Physics. 123 (16): 161103. doi:10.1063/1.2126975. PMID 16268672.
  9. Y. Zhao, N.E. Schultz & D.G. Truhlar (2006). "Design of Density Functionals by Combining the Method of Constraint Satisfaction with Parametrization for Thermochemistry, Thermochemical Kinetics, and Noncovalent Interactions". Journal of Chemical Theory and Computation. 2: 364–382. doi:10.1021/ct0502763.
  10. Y. Zhao & D.G. Truhlar (2006). "A new local density functional for main-group thermochemistry, transition metal bonding, thermochemical kinetics, and noncovalent interactions". Journal of Chemical Physics. 125 (19): 194101. doi:10.1063/1.2370993. PMID 17129083.
  11. 1 2 Y. Zhao & D.G. Truhlar (2006). "The M06 suite of density functionals for main group thermochemistry, thermochemical kinetics, noncovalent interactions, excited states, and transition elements: Two new functionals and systematic testing of four M06-class functionals and 12 other functionals". Theor Chem Account. 120: 215–241. doi:10.1007/s00214-007-0310-x.
  12. Y. Zhao & D.G. Truhlar (2006). "Density Functional for Spectroscopy:  No Long-Range Self-Interaction Error, Good Performance for Rydberg and Charge-Transfer States, and Better Performance on Average than B3LYP for Ground States". Journal of Physical Chemistry A. 110: 13126–13130. doi:10.1021/jp066479k.
  13. 1 2 Y. Zhao & D.G. Truhlar (2008). "Exploring the Limit of Accuracy of the Global Hybrid Meta Density Functional for Main-Group Thermochemistry, Kinetics, and Noncovalent Interactions". Journal of Chemical Theory and Computation. 4 (11): 1849–1868. doi:10.1021/ct800246v.
  14. R. Peverati & D.G. Truhlar (2012). "M11-L: A Local Density Functional That Provides Improved Accuracy for Electronic Structure Calculations in Chemistry and Physics". Journal of Physical Chemistry Letters. 3: 117–124. doi:10.1021/jz201525m.
  15. R. Peverati & D.G. Truhlar (2011). "Improving the Accuracy of Hybrid Meta-GGA Density Functionals by Range Separation". Journal of Physical Chemistry Letters. 2 (21): 2810–2817. doi:10.1021/jz201170d.
  16. R. Peverati & D.G. Truhlar (2012). "Exchange–Correlation Functional with Good Accuracy for Both Structural and Energetic Properties while Depending Only on the Density and Its Gradient". Journal of Chemical Theory and Computation. 8 (7): 2310–2319. doi:10.1021/ct3002656.
  17. R. Peverati & D.G. Truhlar (2012). "An improved and broadly accurate local approximation to the exchange–correlation density functional: The MN12-L functional for electronic structure calculations in chemistry and physics". Physical Chemistry Chemical Physics. 14 (38): 13171–4. doi:10.1039/c2cp42025b. PMID 22910998.
  18. R. Peverati & D.G. Truhlar (2012). "Screened-exchange density functionals with broad accuracy for chemistry and solid-state physics". Physical Chemistry Chemical Physics. 14 (47): 16187–91. doi:10.1039/c2cp42576a. PMID 23132141.

External links

This article is issued from Wikipedia - version of the 10/5/2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.