On-top density functionals for the short-range dynamic correlation between electrons of opposite and parallel spin
Joshua W Hollett1, Nicholas Pegoretti1
1Department of Chemistry, University of Winnipeg, Winnipeg, Manitoba, R3B 2G3, Canada.
The Journal of Chemical Physics
|May 3, 2018
Summary
New density functionals accurately predict atomic ionization energies and electron affinities. The Opposite-spin exponential-cusp and Fermi-hole correction (OF) functional shows promise for computational chemistry applications.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Accurate modeling of electron correlation is crucial for predicting molecular properties.
- Existing density functional methods face challenges in capturing short-range dynamic correlation.
- The electron-electron cusp requires specific treatment in quantum chemical calculations.
Purpose of the Study:
- To develop novel, one-parameter, on-top density functionals for short-range dynamic correlation.
- To introduce the Opposite-spin exponential-cusp and Fermi-hole correction (OF) functional.
- To evaluate the performance of the OF functional combined with Restricted Open-shell Hartree-Fock (ROHF).
Main Methods:
- Derivation of separate density functionals for opposite-spin and parallel-spin electrons.
- Representation of the electron-electron cusp using an exponential function.
- Parameterization of the OF functional by fitting to experimental ionization energies and electron affinities of atoms He to Ar using ROHF.
Main Results:
- The ROHF-OF method demonstrates superior performance compared to completely renormalized coupled-cluster [CR-CC(2,3)] for ionization energies.
- ROHF-OF performance is comparable to or better than conventional density functional methods for ionization energies.
- While less impressive for electron affinities overall, ROHF-OF achieves a mean absolute error of only 3 kJ mol⁻¹ for third-row atoms.
Conclusions:
- The developed OF functional provides an accurate description of short-range dynamic correlation.
- ROHF-OF is a promising approach for calculating ionization energies, outperforming established methods.
- Further refinement may be needed for electron affinity predictions, though accuracy for third-row elements is notable.
Related Concept Videos
Correlations
36.5K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
36.5K
Correlation and Causation
42.9K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.9K
Range
14.3K
The range is one of the measures of variation. It can be defined as the difference between a dataset's highest and lowest values. For example, in the study of seven 16-ounce soda cans, the filled volume of soda was measured, thus producing the following amount (in ounces) of soda:
15.9; 16.1; 15.2; 14.8; 15.8; 15.9; 16.0; 15.5
Measurements of the amount of soda in a 16-ounce can vary since different subjects record these measurements or since the exact amount - 16 ounces of liquid, was not...
15.9; 16.1; 15.2; 14.8; 15.8; 15.9; 16.0; 15.5
Measurements of the amount of soda in a 16-ounce can vary since different subjects record these measurements or since the exact amount - 16 ounces of liquid, was not...
14.3K
Applications of Integration to Probability Density Functions
72
Continuous probability distributions are used to model random variables that can take on any real value within a specified range. These variables do not take on isolated or countable values but rather exist on a continuum. For example, the height of an individual can be measured with increasing precision—such as 163.5 or 165.25 centimeters—demonstrating that height is a continuous random variable.The behavior of such variables is described using a probability density function (PDF),...
72
NMR Spectroscopy: Spin–Spin Coupling
3.3K
The spin state of an NMR-active nucleus can have a slight effect on its immediate electronic environment. This effect propagates through the intervening bonds and affects the electronic environments of NMR-active nuclei up to three bonds away; occasionally, even farther. This phenomenon is called spin–spin coupling or J-coupling. Coupling interactions are mutual and result in small changes in the absorption frequencies of both nuclei involved. While nuclei of the same element are involved...
3.3K
Spin–Spin Coupling: One-Bond Coupling
1.5K
Coupling interactions are strongest between NMR-active nuclei bonded to each other, where spin information can be transmitted directly through the pair of bonding electrons. While nuclei polarize their electrons to the opposite spins, the bonding electron pair has opposite spins. Configurations with antiparallel nuclear spins are expected to be lower in energy. When coupling makes antiparallel states more favorable, J is considered to have a positive value. The one-bond coupling constant, 1J,...
1.5K


