Variational relativistic correction to the Thomas-Fermi model of atoms
⁎Corresponding author. iallehyani@kau.edu.sa (Ibrahim Al-lehyani)
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Received: ,
Accepted: ,
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.
Peer review under responsibility of King Saud University.
Abstract
A relativistic correction to the Thomas-Fermi model of atoms is obtained by utilizing the variational solutions proposed by Csavinszky [Phys. Rev. 166 (1968) 53]. The relativistic effect appears important for heavier elements, and our correction improves the ionization energies more noticeably with an increasing atomic number. The radial expectation values are calculated and compared with Hartree-Fock values. The non-relativistic results for
1 Introduction
The Thomas-Fermi [TF] statistical model (Fermi, 1927; Thomas, 1927) of the atom provides a method to describe the ground state potentials and densities of large atoms, molecules, metals, and even neutron stars (Englert and Schwinger, 1984). This model is a crude approximation to the N-electron Schrödinger equation and is exact in the case of infinite nuclear charge. It does not account for the exchange effect, and it assumes that the electron gas is in its ground state. The use of electronic density to describe many-electron systems was an inception of several approaches in physics, including Density Functional Theory (DFT); and the simplicity of TF model formulation made it suitable to produce initial potentials in self-consistent field methods. Several trials were proposed to improve the theory (Lehtomäki and Lopez-Acevedo, 2017) but our aim here is to improve it while keeping it as simple as possible to produce pseudopotentials. In this work, the solution proposed by Csavinszky (1968, 1972, 1976, 1979) is corrected for relativistic effects. In Section 2, the variation solution is summarized to pave the way for the relativistic correction in Section 3. Our results are presented and discussed in Section 4.
2 Theory
The theory is detailed in references (Fermi, 1927; Thomas, 1927) and reviewed in many others (Spruch, 1981; Lieb, 1981). It leads to a differential equation of the form
For a neutral atom, Eq. (1) is to be solved with the boundary conditions
One of the shortcomings of this equation is that electron density decreases as the inverse fourth power of r, while it should decrease exponentially (Gombas, 1949). This shortcoming can be eliminated when the TF equation is replaced by its equivalent variational solution starting with the Lagrangian
In a previous work (Mobarek, 1991),
The electron density
3 Relativistic correction
To account for the relativistic effect, Hamiltonian must be written in its relativistic form and used to generate the electron density. Then, following the same procedure of the original TF equation will produce the relativistic form of the TF equation (Vallarta and Rosen, 1932)
When
After the relativistic consideration, the variational solution of Eq. (6) becomes
The normalization condition Eq. (10), using our form of
Using this form of
The limited-memory Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm was used for calculating the optimized values of the parameters. With an accuracy of
4 Results and discussion
Table 1 shows the values of the optimizing parameters for selected elements. The total energy (energy necessary to remove all electrons of an atom) is calculated from the relation (March, 1975)
Element | Z | a | b | α | β |
---|---|---|---|---|---|
H | 1 | 0.722 | 0.278 | 0.178 | 1.760 |
He | 2 | 0.722 | 0.278 | 0.178 | 1.762 |
Be | 4 | 0.722 | 0.278 | 0.178 | 1.766 |
C | 6 | 0.723 | 0.277 | 0.179 | 1.771 |
Ne | 10 | 0.724 | 0.276 | 0.179 | 1.783 |
Ar | 18 | 0.727 | 0.273 | 0.180 | 1.811 |
Kr | 36 | 0.733 | 0.267 | 0.182 | 1.893 |
Xe | 54 | 0.741 | 0.259 | 0.184 | 1.995 |
Hg | 80 | 0.753 | 0.247 | 0.188 | 2.173 |
Rn | 86 | 0.756 | 0.244 | 0.189 | 2.219 |
U | 92 | 0.759 | 0.241 | 0.190 | 2.267 |
Element | Z |
|
|
err. (%) |
|
err. (%) |
---|---|---|---|---|---|---|
H | 1 | 0.500 | 0.5984 | 19.68 | 0.5985 | 19.7 |
He | 2 | 2.904 | 3.0156 | 3.84 | 3.0176 | 3.91 |
Be | 4 | 14.68 | 15.198 | 3.53 | 15.223 | 3.70 |
C | 6 | 37.86 | 39.143 | 3.39 | 39.256 | 3.69 |
Ne | 10 | 129.5 | 128.96 | 0.42 | 129.65 | 0.12 |
Ar | 18 | 525.4 | 508.09 | 3.29 | 514.47 | 2.08 |
Kr | 36 | 2704 | 2560.6 | 5.30 | 2642.8 | 2.26 |
Xe | 54 | 7079 | 6595.2 | 6.83 | 6964.1 | 1.62 |
Hg | 80 | 18680 | 16501 | 11.66 | 18098 | 3.12 |
Rn | 86 | 21866a | 19535 | 10.66 | 21628 | 1.09 |
U | 92 | 25520 | 22864 | 10.41 | 25560 | 0.16 |
In Table 3, the expectation values
Element | Z |
|
|
err. (%) |
|
err. (%) |
|
|
err. (%) |
---|---|---|---|---|---|---|---|---|---|
H | 1 | 3.00 | 8.85 | 194.9 | 8.85 | 194.9 | 3.98 | 7.01 | 76.13 |
He | 2 | 2.37 | 11.15 | 370.4 | 11.14 | 370.2 | 1.88 | 8.82 | 369.15 |
Be | 4 | 17.32 | 14.04 | 18.9 | 14.03 | 19.0 | 9.0 | 11.11 | 23.44 |
C | 6 | 13.79 | 16.08 | 16.6 | 16.05 | 16.3 | 6.0 | 12.71 | 111.83 |
Ne | 10 | 9.37 | 19.06 | 103.4 | 18.99 | 102.6 | 6.74 | 15.04 | 123.15 |
Ar | 18 | 26.03 | 23.19 | 10.9 | 22.99 | 11.7 | 19.6 | 18.21 | 7.09 |
Kr | 36 | 39.53 | 29.21 | 26.1 | 28.59 | 27.7 | 28.8 | 22.65 | 21.35 |
Xe | 54 | 62.65 | 33.44 | 46.6 | 32.24 | 48.5 | 43.9 | 25.54 | 41.82 |
Hg | 80 | 68.63 | 38.12 | 44.5 | 35.89 | 47.7 | 33.4 | 28.42 | 14.91 |
Rn | 86 | 81.24 | 39.05 | 51.9 | 36.55 | 55.0 | – | 28.95 | – |
U | 92 | 123.59 | 39.94 | 67.7 | 37.17 | 69.9 | 28.0 | 29.44 | 5.14 |
To complete the comparison, we list in Table 4 the mean values of the reciprocal of the electron cloud radii
Element | Z |
|
|
err. (%) |
|
err. (%) |
---|---|---|---|---|---|---|
H | 1 | 1.00 | 1.82 | 82.1 | 1.82 | 82.1 |
He | 2 | 3.37 | 4.59 | 36.0 | 4.59 | 36.0 |
Be | 4 | 8.41 | 11.57 | 37.5 | 11.56 | 37.5 |
C | 6 | 14.69 | 19.86 | 35.2 | 19.85 | 35.1 |
Ne | 10 | 31.11 | 39.24 | 26.1 | 39.21 | 26.1 |
Ar | 18 | 69.73 | 85.92 | 23.2 | 85.82 | 23.1 |
Kr | 36 | 182.85 | 216.50 | 18.4 | 215.89 | 18.1 |
Xe | 54 | 317.87 | 371.74 | 16.9 | 369.99 | 16.4 |
Hg | 80 | 548.13 | 627.83 | 14.5 | 623.03 | 13.7 |
Rn | 86 | 604.39 | 691.38 | 14.4 | 685.61 | 13.4 |
U | 92 | 661.82 | 756.43 | 14.3 | 749.60 | 13.7 |
Our calculation accounted for the minimization of the Lagrangian of the system. This could be the reason for generating the best results with the ionization energy, and -though small- in the values of
Pseudopotentials are approximated potentials that have proven to be highly useful in calculating different types of properties. The TF equation can be used as a starting point to produce them and the parameterization process can be built into the generating codes. Moreover, the codes can use multi-condition processes (minimization that takes into account different values other than the Lagrangian) according to the calculation needed from the pseudopotentials.
Acknowledgment
The authors acknowledge the financial support for this work from King Abdulaziz City for Science and Technology Grant No. 31-105.
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