Abstract
Using the finite difference time domain (FDTD) method based on the eight-element Dirac equation, we found that a stable Dirac field wave packet with low velocity can be created without explicit consideration of Zitterbewegung (the rapid oscillatory motion of elementary particles), which is difficult in one-dimensional simulations. Furthermore, we successfully simulated the formation process of atomic orbitals for the first time without any physical approximations by calculating the eight-element Dirac field propagation in the central electric force potential. Initially, a small unstable orbital appears, which rapidly grows and results in a large stable orbital with a radius equal to the Bohr radius divided by the atomic number, as given by the solution of the Schrödinger equation. The FDTD calculation based on the conventional four-element Dirac equation cannot produce such reasonable orbitals owing to the spatial asymmetry of the
1 Introduction
Transient analyses of spatial distributions of atomic and molecular orbitals are crucial for understanding chemical reactions. Experimental investigations of molecular orbitals and their time-dependent spatial distributions have been conducted using Penning ionization electron spectroscopy [1–10], photoelectron spectroscopy with angular distribution [11–15], and electron momentum spectroscopy [16–21]. By contrast, theoretical studies of molecular orbitals have primarily focused on the Schrödinger equation [22–30]. Considering that the orbital spatial distributions change rapidly occurring on a timescale comparable to the orbital length divided by the speed of light, it is essential to solve the Dirac equation instead of the Schrödinger equation for more accurate analyses of the time-dependent spatial distributions of atomic and molecular orbitals. The finite difference time domain (FDTD) method [31,32], which can be used for transient analysis of electromagnetic fields, could also be used for analyzing the Dirac field [33,34] as the Dirac equation is almost equivalent to Maxwell’s equations, except for electron charge and mass [35,36]. In this study, we demonstrate that the FDTD method based on the eight-element Dirac equation successfully calculates the time-dependent Dirac field. Moreover, it reveals the first-ever simulation of the formation process of atomic orbitals, starting from the initial state of a free electron and an atomic nucleus without any physical approximations. This is achieved by calculating the eight-element Dirac field propagation in the central electric force potential.
2 Eight-element Dirac equation
The Dirac equation is given by:
where
For example, gamma matrices are given by:
These matrices have spatial asymmetry, which means that only one or two of
where
where
where
Now, we define matrices
where
Eq. (4) is rewritten as:
Then, we obtain
When
Here, we define four current
Now, we define
Then, we obtain
Therefore,
Next, we consider spin. When we introduce
Eq. (11) is rewritten as:
Under vector potential
Considering the nonrelativistic condition,
where
Therefore, the second term of the right side of the aforementioned equation shows the magnetic moment
we obtain
Therefore,
3 Dirac field propagation analysis by FDTD method
The FDTD method is one of the simplest methods for transient analysis of field propagation, because it can give field spatial distribution dependence on time by only substituting a pair of field vectors each other to discretized equations starting from a given initial state. Since the Dirac equation is quite similar to Maxwell’s equations, the Dirac field propagation could be calculated by the FDTD method, which is popularly used for propagation analysis of electromagnetic field. We compared the calculation results of the FDTD method based on the 1D-like two-element, the conventional four-element, and the extended eight-element Dirac equations. Figure 1 shows the analyzed structure consisting of a cube with a side length
where
k and

Analyzed structure.
3.1 Discretization for the two- and four-element Dirac equation
The four-element Dirac equation of Eq. (1) is rewritten as:
Here,
where
where
Therefore,
where

Definition position of the Dirac field elements in the cell of the FDTD method. (a) The four-element Dirac field and (b) the eight-element Dirac field, where the white, red, blue, and green circles denote
When we consider the one-dimensional analysis of the Dirac field propagation along
Since we can define the real and imaginary parts at the same position in this case, we obtain the discretized one-dimensional Dirac field as follows:
The one-dimensional Dirac field propagation along
3.2 Discretization for the eight-element Dirac equation
As same as the four-element case, we can obtain discretized equations for the eight-element Dirac field
where
Therefore,
3.3 Comparison among the two-, four-, and eight-element Dirac field propagation
Figure 3 shows the wave packet shape dependence on the propagation time for the two-, four-, and eight-element fields in the cube of

Time dependence of the Dirac field intensity distribution. (a), (b), (c), and (d) are the two-element field at

Comparison among the two-, four-, and eight-element Dirac field propagation with
4 Simulation for formation process of atomic orbitals
In the electric central force potential
and
In the discretized equations of Eqs. (36) and (38),
Assuming that the time-dependent wave function is proportional to
Therefore, if

Time dependence of the eight-element Dirac field intensity in the potential of
Figure 6 shows the log-scale Dirac field intensity as a function of the propagation time on

Time dependence of the eight-element Dirac field intensity in the potential of

Final orbital radius dependence on
5 Conclusion
The transient analysis of the Dirac fields has been successfully implemented using the FDTD method based on the eight-element Dirac equation, which includes dual four-element wave functions and five spatially symmetric 8
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Funding information: The author states no funding involved.
-
Author contributions: The author has accepted responsibility for the entire content of this manuscript and approved its submission.
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Conflict of interest: The author states no conflict of interest.
References
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- Dynamical and physical characteristics of soliton solutions to the (2+1)-dimensional Konopelchenko–Dubrovsky system
- Study of fractional variable order COVID-19 environmental transformation model
- Sisko nanofluid flow through exponential stretching sheet with swimming of motile gyrotactic microorganisms: An application to nanoengineering
- Influence of the regularization scheme in the QCD phase diagram in the PNJL model
- Fixed-point theory and numerical analysis of an epidemic model with fractional calculus: Exploring dynamical behavior
- Computational analysis of reconstructing current and sag of three-phase overhead line based on the TMR sensor array
- Investigation of tripled sine-Gordon equation: Localized modes in multi-stacked long Josephson junctions
- High-sensitivity on-chip temperature sensor based on cascaded microring resonators
- Pathological study on uncertain numbers and proposed solutions for discrete fuzzy fractional order calculus
- Bifurcation, chaotic behavior, and traveling wave solution of stochastic coupled Konno–Oono equation with multiplicative noise in the Stratonovich sense
- Thermal radiation and heat generation on three-dimensional Casson fluid motion via porous stretching surface with variable thermal conductivity
- Numerical simulation and analysis of Airy's-type equation
- A homotopy perturbation method with Elzaki transformation for solving the fractional Biswas–Milovic model
- Heat transfer performance of magnetohydrodynamic multiphase nanofluid flow of Cu–Al2O3/H2O over a stretching cylinder
- ΛCDM and the principle of equivalence
- Axisymmetric stagnation-point flow of non-Newtonian nanomaterial and heat transport over a lubricated surface: Hybrid homotopy analysis method simulations
- HAM simulation for bioconvective magnetohydrodynamic flow of Walters-B fluid containing nanoparticles and microorganisms past a stretching sheet with velocity slip and convective conditions
- Coupled heat and mass transfer mathematical study for lubricated non-Newtonian nanomaterial conveying oblique stagnation point flow: A comparison of viscous and viscoelastic nanofluid model
- Power Topp–Leone exponential negative family of distributions with numerical illustrations to engineering and biological data
- Extracting solitary solutions of the nonlinear Kaup–Kupershmidt (KK) equation by analytical method
- A case study on the environmental and economic impact of photovoltaic systems in wastewater treatment plants
- Application of IoT network for marine wildlife surveillance
- Non-similar modeling and numerical simulations of microploar hybrid nanofluid adjacent to isothermal sphere
- Joint optimization of two-dimensional warranty period and maintenance strategy considering availability and cost constraints
- Numerical investigation of the flow characteristics involving dissipation and slip effects in a convectively nanofluid within a porous medium
- Spectral uncertainty analysis of grassland and its camouflage materials based on land-based hyperspectral images
- Application of low-altitude wind shear recognition algorithm and laser wind radar in aviation meteorological services
- Investigation of different structures of screw extruders on the flow in direct ink writing SiC slurry based on LBM
- Harmonic current suppression method of virtual DC motor based on fuzzy sliding mode
- Micropolar flow and heat transfer within a permeable channel using the successive linearization method
- Different lump k-soliton solutions to (2+1)-dimensional KdV system using Hirota binary Bell polynomials
- Investigation of nanomaterials in flow of non-Newtonian liquid toward a stretchable surface
- Weak beat frequency extraction method for photon Doppler signal with low signal-to-noise ratio
- Electrokinetic energy conversion of nanofluids in porous microtubes with Green’s function
- Examining the role of activation energy and convective boundary conditions in nanofluid behavior of Couette-Poiseuille flow
- Review Article
- Effects of stretching on phase transformation of PVDF and its copolymers: A review
- Special Issue on Transport phenomena and thermal analysis in micro/nano-scale structure surfaces - Part IV
- Prediction and monitoring model for farmland environmental system using soil sensor and neural network algorithm
- Special Issue on Advanced Topics on the Modelling and Assessment of Complicated Physical Phenomena - Part III
- Some standard and nonstandard finite difference schemes for a reaction–diffusion–chemotaxis model
- Special Issue on Advanced Energy Materials - Part II
- Rapid productivity prediction method for frac hits affected wells based on gas reservoir numerical simulation and probability method
- Special Issue on Novel Numerical and Analytical Techniques for Fractional Nonlinear Schrodinger Type - Part III
- Adomian decomposition method for solution of fourteenth order boundary value problems
- New soliton solutions of modified (3+1)-D Wazwaz–Benjamin–Bona–Mahony and (2+1)-D cubic Klein–Gordon equations using first integral method
- On traveling wave solutions to Manakov model with variable coefficients
- Rational approximation for solving Fredholm integro-differential equations by new algorithm
- Special Issue on Predicting pattern alterations in nature - Part I
- Modeling the monkeypox infection using the Mittag–Leffler kernel
- Spectral analysis of variable-order multi-terms fractional differential equations
- Special Issue on Nanomaterial utilization and structural optimization - Part I
- Heat treatment and tensile test of 3D-printed parts manufactured at different build orientations