Minnesota functionals

Minnesota Functionals (Myz) are a group of highly parameterized approximate exchange-correlation energy functionals in density functional theory (DFT). They are developed by the group of Donald Truhlar at the University of Minnesota. The Minnesota functionals are available in a large number of popular quantum chemistry computer programs, and can be used for traditional quantum chemistry and solid-state physics calculations.

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. The Myz functionals are widely used and tested in the quantum chemistry community. ^{[1] [2] [3] [4]}

Controversies

Independent evaluations of the strengths and limitations of the Minnesota functionals with respect to various chemical properties cast doubts on their accuracy. ^{[5] [6] [7] [8] [9]} Some regard this criticism to be unfair. In this view, because Minnesota functionals are aiming for a balanced description for both main-group and transition-metal chemistry, the studies assessing Minnesota functionals solely based on the performance on main-group databases ^{[5] [6] [7] [8]} yield biased information, as the functionals that work well for main-group chemistry may fail for transition metal chemistry.

A study in 2017 highlighted what appeared to be the poor performance of Minnesota functionals on atomic densities. ^[10] Others subsequently refuted this criticism, claiming that focusing only on atomic densities (including chemically unimportant, highly charged cations) is hardly relevant to real applications of density functional theory in computational chemistry. Another study found this to be the case: for Minnesota functionals, the errors in atomic densities and in energetics are indeed decoupled, and the Minnesota functionals perform better for diatomic densities than for the atomic densities. ^[11] The study concludes that atomic densities do not yield an accurate judgement of the performance of density functionals. ^[11] Minnesota functionals have also been shown to reproduce chemically relevant Fukui functions better than they do the atomic densities. ^[12]

Family of functionals

Minnesota 05

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

• M05: ^[13] Global hybrid functional with 28% HF exchange.
• M05-2X ^[14] Global hybrid functional with 56% HF exchange.

In addition to the fraction of HF exchange, the M05 family of functionals includes 22 additional empirical parameters. ^[14] A range-separated functional based on the M05 form, ωM05-D which includes empirical atomic dispersion corrections, has been reported by Chai and coworkers. ^[15]

Minnesota 06

The '06 family represent a general improvement^{[ citation needed ]} over the 05 family and is composed of:

• M06-L: ^[16] Local functional, 0% HF exchange. Intended to be fast, good for transition metals, inorganic and organometallics.
• revM06-L: ^[17] Local functional, 0% HF exchange. M06-L revised for smoother potential energy curves and improved overall accuracy.
• M06: ^[18] Global hybrid functional with 27% HF exchange. Intended for main group thermochemistry and non-covalent interactions, transition metal thermochemistry and organometallics. It is usually the most versatile of the 06 functionals^{[ citation needed ]}, and because of this large applicability it can be slightly worse than M06-2X for specific properties that require high percentage of HF exchange, such as thermochemistry and kinetics.
• revM06: ^[19] Global hybrid functional with 40.4% HF exchange. Intended for a broad range of applications on main-group chemistry, transition-metal chemistry, and molecular structure prediction to replace M06 and M06-2X.
• M06-2X: ^[18] Global hybrid functional with 54% HF exchange. It is the top performer within the 06 functionals for main group thermochemistry, kinetics and non-covalent interactions, ^[20] however it cannot be used for cases where multi-reference species are or might be involved, ^[20] such as transition metal thermochemistry and organometallics.
• M06-HF: ^[21] Global hybrid functional with 100% HF exchange. Intended for charge transfer TD-DFT and systems where self-interaction is pathological.

The M06 and M06-2X functionals introduce 35 and 32 empirically optimized parameters, respectively, into the exchange-correlation functional. ^[18] A range-separated functional based on the M06 form, ωM06-D3 which includes empirical atomic dispersion corrections, has been reported by Chai and coworkers. ^[22]

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^{[ citation needed ]}:

• M08-HX: ^[23] Global hybrid functional with 52.23% HF exchange. Intended for main group thermochemistry, kinetics and non-covalent interactions.
• M08-SO: ^[23] Global hybrid functional with 56.79% HF exchange. Intended for main group thermochemistry, kinetics and non-covalent interactions.

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:

• M11-L: ^[24] Local functional (0% HF exchange) with dual-range DFT exchange. Intended to be fast, to be good for transition metals, inorganic, organometallics and non-covalent interactions, and to improve much over M06-L.
• M11: ^[25] Range-separated hybrid functional with 42.8% HF exchange in the short-range and 100% in the long-range. Intended for main group thermochemistry, kinetics and non-covalent interactions, with an intended performance comparable to that of M06-2X, and for TD-DFT applications, with an intended performance comparable to M06-HF.
• revM11: ^[26] Range-separated hybrid functional with 22.5% HF exchange in the short-range and 100% in the long-range. Intended for good performance for electronic excitations and good predictions across the board for ground-state properties.

Minnesota 12

The 12 family uses a nonseparable ^[27] (N in MN) functional form aiming to provide balanced performance for both chemistry and solid-state physics applications. It is composed by:

• MN12-L: ^[28] A local functional, 0% HF exchange. The aim of the functional was to be very versatile and provide good computational performance and accuracy for energetic and structural problems in both chemistry and solid-state physics.
• MN12-SX: ^[29] Screened-exchange (SX) hybrid functional with 25% HF exchange in the short-range and 0% HF exchange in the long-range. MN12-L was intended to be very versatile and provide good performance for energetic and structural problems in both chemistry and solid-state physics, at a computational cost that is intermediate between local and global hybrid functionals.

Minnesota 15

The 15 functionals are the newest addition to the Minnesota family. Like the 12 family, the functionals are based on a non-separable form, but unlike the 11 or 12 families the hybrid functional doesn't use range separation: MN15 is a global hybrid like in the pre-11 families. The 15 family consists of two functionals

• MN15, ^[30] a global hybrid with 44% HF exchange.
• MN15-L, ^[31] a local functional with 0% HF exchange.

Main Software with Implementation of the Minnesota Functionals

Package	M05	M05-2X	M06-L	revM06-L	M06	M06-2X	M06-HF	M08-HX	M08-SO	M11-L	M11	MN12-L	MN12-SX	MN15	MN15-L
ADF	Yes*	Yes*	Yes	No	Yes	Yes	Yes	Yes*	Yes*	Yes*	Yes*	Yes*	Yes*	Yes*	Yes*
CPMD	Yes	Yes	Yes	No	Yes	Yes	Yes	Yes	Yes	Yes	Yes	No	No	No	No
GAMESS (US)	Yes	Yes	Yes	No	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Gaussian 16	Yes	Yes	Yes	No	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Jaguar	Yes	Yes	Yes	No	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	No	Yes	Yes
Libxc Abinit ADF APE Atomistix ToolKit AtomPAW BigDFT Castep CP2K DP Elk ERKALE exciting GPAW JDFTx MOLGW Octopus Yambo	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
MOLCAS	Yes	Yes	Yes	No	Yes	Yes	Yes	Yes	Yes	No	No	No	No	No	No
MOLPRO	Yes	Yes	Yes	No	Yes	Yes	Yes	Yes	Yes	Yes	No	No	No	No	No
NWChem	Yes	Yes	Yes	No	Yes	Yes	Yes	Yes	Yes	Yes	Yes	No	No	No	No
Orca	Yes*	Yes*	Yes	Yes*	Yes	Yes	Yes*	Yes*	Yes*	Yes*	Yes*	Yes*	Yes*	Yes*	Yes*
PSI4	Yes*	Yes*	Yes*	No	Yes*	Yes*	Yes*	Yes*	Yes*	Yes*	Yes*	Yes*	Yes*	Yes*	Yes*
Q-Chem Spartan	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	No	Yes
Quantum ESPRESSO	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No
TURBOMOLE using XCFun	Yes*	Yes*	Yes	Yes*	Yes	Yes	Yes	Yes*	Yes*	Yes*	Yes*	Yes*	Yes*	Yes*	Yes*
VASP	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No

* Using LibXC.

References

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16. 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. Bibcode:2006JChPh.125s4101Z. CiteSeerX   10.1.1.186.6548 . doi:10.1063/1.2370993. PMID   17129083.
17. Ying Wang; Xinsheng Jin; Haoyu S. Yu; Donald G. Truhlar & Xiao Hea (2017). "Revised M06-L functional for improved accuracy on chemical reaction barrier heights, noncovalent interactions, and solid-state physics". Proc. Natl. Acad. Sci. U.S.A. 114 (32): 8487–8492. Bibcode:2017PNAS..114.8487W. doi: 10.1073/pnas.1705670114 . PMC   5559035 . PMID   28739954.
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24. 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 (1): 117–124. doi: 10.1021/jz201525m .
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26. P. Verma; Y. Wang; S. Ghosh; X. He & D. G. Truhlar (2019). "Revised M11 Exchange-Correlation Functional for Electronic Excitation Energies and Ground-State Properties". Journal of Physical Chemistry A. 123 (13): 2966–2990. Bibcode:2019JPCA..123.2966V. doi:10.1021/acs.jpca.8b11499. PMID   30707029. S2CID   73431138.
27. 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 . PMID   26588964.
28. 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): 13171–13174. Bibcode:2012PCCP...1413171P. doi:10.1039/c2cp42025b. PMID   22910998.
29. 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. Bibcode:2012PCCP...1416187P. doi:10.1039/c2cp42576a. PMID   23132141.
30. Yu, Haoyu S.; He, Xiao; Li, Shaohong L. & Truhlar, Donald G. (2016). "MN15: A Kohn–Sham global-hybrid exchange–correlation density functional with broad accuracy for multi-reference and single-reference systems and noncovalent interactions". Chem. Sci. 7 (8): 5032–5051. doi:10.1039/C6SC00705H. PMC   6018516 . PMID   30155154.
31. Yu, Haoyu S.; He, Xiao & Truhlar, Donald G. (2016). "MN15-L: A New Local Exchange-Correlation Functional for Kohn–Sham Density Functional Theory with Broad Accuracy for Atoms, Molecules, and Solids". J. Chem. Theory Comput. 12 (3): 1280–1293. doi:10.1021/acs.jctc.5b01082. PMID   26722866.

External links

• The Truhlar Group
• Minnesota Databases for Chemistry and Physics
• The most recent review article on the performance of the Minnesota functionals