In quantum chemistry electron density or electronic density is the measure of the probability of an electron being present at an infinitesimal element of space surrounding any given point. It is a scalar quantity depending upon three spatial variables and is typically denoted as either \( {\displaystyle \rho ({\textbf {r}})} \) or \( {\displaystyle n({\textbf {r}})} \). The density is determined, through definition, by the normalized N-electron wavefunction which itself depends upon 4N variables (\( {\textstyle 3N} \)spatial and N spin coordinates). Conversely, the density determines the wave function modulo up to a phase factor, providing the formal foundation of density functional theory.
According to quantum mechanics, due to the uncertainty principle on an atomic scale the exact location of an electron cannot be predicted, only the probability of its being at a given position; therefore electrons in atoms and molecules act as if they are "smeared out" in space. For one-electron systems, the electron density at any point is proportional to the square magnitude of the wavefunction.
Definition
The electronic density corresponding to a normalized N-electron wavefunction \( \Psi \) (with \( {\displaystyle {\textbf {r}}} \) and s denoting spatial and spin variables respectively) is defined as[1]
\( {\displaystyle \rho (\mathbf {r} )=\langle \Psi |{\hat {\rho }}(\mathbf {r} )|\Psi \rangle ,} \)
where the operator corresponding to the density observable is
\( {\displaystyle {\hat {\rho }}(\mathbf {r} )=\sum _{i=1}^{N}\ \delta (\mathbf {r} -\mathbf {r} _{i}).} \)
Computing ρ ( r ) {\displaystyle \rho (\mathbf {r} )} {\displaystyle \rho (\mathbf {r} )} as defined above we can simplify the expression as follows.
\( {\displaystyle {\begin{aligned}\rho (\mathbf {r} )&=\sum _{{s}_{1}}\cdots \sum _{{s}_{N}}\int \ \mathrm {d} \mathbf {r} _{1}\ \cdots \int \ \mathrm {d} \mathbf {r} _{N}\ \left(\sum _{i=1}^{N}\delta (\mathbf {r} -\mathbf {r} _{i})\right)|\Psi (\mathbf {r} _{1},s_{1},\mathbf {r} _{2},s_{2},...,\mathbf {r} _{N},s_{N})|^{2}\\&=N\sum _{{s}_{1}}\cdots \sum _{{s}_{N}}\int \ \mathrm {d} \mathbf {r} _{2}\ \cdots \int \ \mathrm {d} \mathbf {r} _{N}\ |\Psi (\mathbf {r} ,s_{1},\mathbf {r} _{2},s_{2},...,\mathbf {r} _{N},s_{N})|^{2}\end{aligned}}} \)
In words: holding a single electron still in position r {\displaystyle {\textbf {r}}} {\displaystyle {\textbf {r}}} we sum over all possible arrangements of the other electrons.
In Hartree–Fock and density functional theories the wave function is typically represented as a single Slater determinant constructed from N {\displaystyle N} N orbitals, φ k {\displaystyle \varphi _{k}} \varphi _{k}, with corresponding occupations n k {\displaystyle n_{k}} n_{k}. In these situations the density simplifies to
\( \rho ({\mathbf {r}})=\sum _{{k=1}}^{N}n_{{k}}|\varphi _{k}({\mathbf {r}})|^{2}. \)
General Properties
From its definition, the electron density is a non-negative function integrating to the total number of electrons. Further, for a system with kinetic energy T, the density satisfies the inequalities[2]
\( {\frac {1}{2}}\int {\mathrm {d}}{\mathbf {r}}\ {\big (}\nabla {\sqrt {\rho ({\mathbf {r}})}}{\big )}^{{2}}\leq T. \)
\( {\frac {3}{2}}\left({\frac {\pi }{2}}\right)^{{4/3}}\left(\int {\mathrm {d}}{\mathbf {r}}\ \rho ^{{3}}({\mathbf {r}})\right)^{{1/3}}\leq T. \)
For finite kinetic energies, the first (stronger) inequality places the square root of the density in the Sobolev space H 1 ( R 3 ) {\displaystyle H^{1}(\mathbb {R} ^{3})} {\displaystyle H^{1}(\mathbb {R} ^{3})}. Together with the normalization and non-negativity this defines a space containing physically acceptable densities as
\( \mathcal{J}_{N} = \left\{ \rho \left| \rho(\mathbf{r})\geq 0,\ \rho^{1/2}(\mathbf{r})\in H^{1}(\mathbf{R}^{3}),\ \int\mathrm{d}\mathbf{r}\ \rho(\mathbf{r}) = N \right.\right\}. \)
The second inequality places the density in the L3 space. Together with the normalization property places acceptable densities within the intersection of L1 and L3 – a superset of \( {\mathcal {J}}_{{N}} \).
Topology
The ground state electronic density of an atom is conjectured to be a monotonically decaying function of the distance from the nucleus.[3]
Nuclear cusp condition
The electronic density displays cusps at each nucleus in a molecule as a result of the unbounded electron-nucleus Coulomb potential. This behavior is quantified by the Kato cusp condition formulated in terms of the spherically averaged density, ρ ¯ {\displaystyle {\bar {\rho }}} {\bar {\rho }}, about any given nucleus as[4]
\( \left.{\frac {\partial }{\partial r_{{\alpha }}}}{\bar {\rho }}(r_{{\alpha }})\right|_{{r_{{\alpha }}=0}}=-2Z_{{\alpha }}{\bar {\rho }}(0).
That is, the radial derivative of the spherically averaged density, evaluated at any nucleus, is equal to twice the density at that nucleus multiplied by the negative of the atomic number ( } Z).
Asymptotic behavior
The nuclear cusp condition provides the near-nuclear (small r) density behavior as
\( \rho (r)\sim e^{{-2Z_{{\alpha }}r}}\,. \)
The long-range (large r {\displaystyle r} r) behavior of the density is also known, taking the form[5]
\( \rho (r)\sim e^{{-2{\sqrt {2{\mathrm {I}}}}r}}\,. \)
where I is the ionization energy of the system.
Response Density
Another more-general definition of a density is the "linear-response density".[6][7] This is the density that when contracted with any spin-free, one-electron operator yields the associated property defined as the derivative of the energy. For example, a dipole moment is the derivative of the energy with respect to an external magnetic field and is not the expectation value of the operator over the wavefunction. For some theories they are the same when the wavefunction is converged. The occupation numbers are not limited to the range of zero to two, and therefore sometimes even the response density can be negative in certain regions of space.[8]
Overview
In molecules, regions of large electron density are usually found around the atom, and its bonds. In de-localized or conjugated systems, such as phenol, benzene and compounds such as hemoglobin and chlorophyll, the electron density is significant in an entire region, i.e., in benzene they are found above and below the planar ring. This is sometimes shown diagrammatically as a series of alternating single and double bonds. In the case of phenol and benzene, a circle inside a hexagon shows the delocalized nature of the compound. This is shown below:
Mesomeric structures of phenol
In compounds with multiple ring systems which are interconnected, this is no longer accurate, so alternating single and double bonds are used. In compounds such as chlorophyll and phenol, some diagrams show a dotted or dashed line to represent the delocalization of areas where the electron density is higher next to the single bonds.[9] Conjugated systems can sometimes represent regions where electromagnetic radiation is absorbed at different wavelengths resulting in compounds appearing coloured. In polymers, these areas are known as chromophores.
In quantum chemical calculations, the electron density, ρ(r), is a function of the coordinates r, defined so ρ(r)dr is the number of electrons in a small volume dr. For closed-shell molecules, \( \rho ({\mathbf {r}}) \) can be written in terms of a sum of products of basis functions, φ:
\( \rho ({\mathbf {r}})=\sum _{\mu }\sum _{\nu }P_{{\mu \nu }}\phi _{\mu }({\mathbf {r}})\phi _{\nu }({\mathbf {r}}) \)
Electron density calculated for aniline, high density values indicate atom positions, intermediate density values emphasize bonding, low values provide information on a molecule's shape and size.
where P is the density matrix. Electron densities are often rendered in terms of an isosurface (an isodensity surface) with the size and shape of the surface determined by the value of the density chosen, or in terms of a percentage of total electrons enclosed.
Molecular modeling software often provides graphical images of electron density. For example, in aniline (see image at right). Graphical models, including electron density are a commonly employed tool in chemistry education.[10] Note in the left-most image of aniline, high electron densities are associated with the carbons and nitrogen, but the hydrogens with only one proton in their nuclei, are not visible. This is the reason that X-ray diffraction has a difficult time locating hydrogen positions.
Most molecular modeling software packages allow the user to choose a value for the electron density, often called the isovalue. Some software[11] also allows for specification of the electron density in terms of percentage of total electrons enclosed. Depending on the isovalue (typical units are electrons per cubic bohr), or the percentage of total electrons enclosed, the electron density surface can be used to locate atoms, emphasize electron densities associated with chemical bonds , or to indicate overall molecular size and shape.[12]
Graphically, the electron density surface also serves as a canvas upon which other electronic properties can be displayed. The electrostatic potential map (the property of electrostatic potential mapped upon the electron density) provides an indicator for charge distribution in a molecule. The local ionization potential map (the property of local ionization potential mapped upon the electron density) provides an indicator of electrophilicity. And the LUMO map (lowest unoccupied molecular orbital mapped upon the electron density) can provide an indicatory for nucleophilicity.[13]
Experiments
Many experimental techniques can measure electron density. For example, quantum crystallography through X-ray diffraction scanning, where X-rays of a suitable wavelength are targeted towards a sample and measurements are made over time, gives a probabilistic representation of the locations of electrons. From these positions, molecular structures, as well as accurate charge density distributions, can often be determined for crystallized systems. Quantum electrodynamics and some branches of quantum theory also study and analyze electron superposition and other related phenomena, such as the NCI index which permits the study of non-covalent interactions using electron density. Mulliken population analysis is based on electron densities in molecules and is a way of dividing the density between atoms to give an estimate of atomic charges.
In transmission electron microscopy (TEM) and deep inelastic scattering, as well as other high energy particle experiments, high energy electrons interacts with the electron cloud to give a direct representation of the electron density. TEM, scanning tunneling microscopy (STM) and atomic force microscopy (AFM) can be used to probe the electron density of specific individual atoms.
S
pin density
Spin density is electron density applied to free radicals. It is defined as the total electron density of electrons of one spin minus the total electron density of the electrons of the other spin. One of the ways to measure it experimentally is by electron spin resonance,[14] neutron diffraction allows direct mapping of the spin density in 3D-space.
See also
Difference density map
Electron cloud
Electron configuration
Resolution (electron density)
Charge density
Density functional theory
Probability current
References
Parr, Robert G.; Yang, Weitao (1989). Density-Functional Theory of Atoms and Molecules. New York: Oxford University Press. ISBN 978-0-19-509276-9.
Lieb, Elliott H. (1983). "Density functionals for coulomb systems". International Journal of Quantum Chemistry. 24 (3): 243–277. doi:10.1002/qua.560240302.
Ayers, Paul W.; Parr, Robert G. (2003). "Sufficient condition for monotonic electron density decay in many-electron systems". International Journal of Quantum Chemistry. 95 (6): 877–881. doi:10.1002/qua.10622.
Kato, Tosio (1957). "On the eigenfunctions of many-particle systems in quantum mechanics". Communications on Pure and Applied Mathematics. 10 (2): 151–177. doi:10.1002/cpa.3160100201.
Morrell, Marilyn M.; Parr, Robert. G.; Levy, Mel (1975). "Calculation of ionization potentials from density matrices and natural functions, and the long-range behavior of natural orbitals and electron density". Journal of Chemical Physics. 62 (2): 549–554. Bibcode:1975JChPh..62..549M. doi:10.1063/1.430509.
Handy, Nicholas C.; Schaefer, Henry F. (1984). "On the evaluation of analytic energy derivatives for correlated wave functions". The Journal of Chemical Physics. 81 (11): 5031–5033. Bibcode:1984JChPh..81.5031H. doi:10.1063/1.447489.
Wiberg, Kenneth B.; Hadad, Christopher M.; Lepage, Teresa J.; Breneman, Curt M.; Frisch, Michael J. (1992). "Analysis of the effect of electron correlation on charge density distributions". The Journal of Physical Chemistry. 96 (2): 671–679. doi:10.1021/j100181a030.
Gordon, Mark S.; Schmidt, Michael W.; Chaban, Galina M.; Glaesemann, Kurt R.; Stevens, Walter J.; Gonzalez, Carlos (1999). "A natural orbital diagnostic for multiconfigurational character in correlated wave functions". J. Chem. Phys. 110 (9): 4199–4207. Bibcode:1999JChPh.110.4199G. doi:10.1063/1.478301.
e.g., the white line in the diagram on Chlorophylls and Carotenoids Archived 2017-08-09 at the Wayback Machine
Alan J. Shusterman and Gwendolyn P. Shusterman (1997). "Teaching Chemistry with Electron Density Models". The Journal of Chemical Education. 74 (7): 771–775. Bibcode:1997JChEd..74..771S. doi:10.1021/ed074p771.
or example, the Spartan program from Wavefunction, Inc.
Warren J. Hehre, Alan J. Shusterman, Janet E. Nelson (1998). The Molecular Modeling Workbook for Organic Chemistry. Irvine, California: Wavefunction, Inc. pp. 61–86. ISBN 978-1-890661-18-2.
Hehre, Warren J. (2003). A Guide to Molecular Mechanics and Quantum Chemical Calculations. Irvine, California: Wavefunction, Inc. pp. 85–100. ISBN 978-1-890661-06-9.
IUPAC, Compendium of Chemical Terminology, 2nd ed. (the "Gold Book") (1997). Online corrected version: (2006–) "spin density". doi:10.1351/goldbook.S05864
Hellenica World - Scientific Library
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