Abstract
The classical and quantum mechanical methods are used respectively to calculate the electron spin. It is shown that the classical method cannot derive the correct magnetic moment value. Assuming that the rest energy of the electron originates from the kinetic energy of the virtual particles, the electron spin motion equation and spin wave function can be derived. In the case of the quantum numbers of spin angular momentum and magnetic moment being 1/2 and 1 respectively, their correct values can be obtained. In the meanwhile, the anomalous magnetic moment is evaluated based on the wave function of the spinning electron. Suppose the probability of virtual photons converting into electron-positron pairs to be 0.00141, the result agrees with that of quantum electrodynamics. Given that the energy of the virtual photon obeys the classical Maxwell-Boltzmann distribution, the self-energy of the electron will be finite. In addition, the hierarchy problem can be solved with the same hypothesis.
1 Introduction
The mass origin and the radius of the electron are long standing problems in classical and modern physics. If the mass of the electron is totally due to electromagnetic origin, then the classical radius of the electron will be the order of 10−15m. However, if we wish to get the spin value based on that hypothesis, the rotational speed of the electron surface would be more than 100c [1], which is obviously unreasonable. To see the difficulties arising from regarding electron as a rotating rigid sphere, one may see Refs. [2, 3]. As the electron spin can be derived from Dirac equation, it is often owed to relativistic effect. In quantum field theory, electron is regarded as a point particle (bare electron) with a covering of virtual photons.
However, if electron was a point particle, and the spin arose from certain rotation effect, then its magnetic moment and angular momentum would always obey the classical relation, and the spin magnetic moment of the electron would be half of the correct value. Thus the electron cannot be a point particle and it must have different mass density and charge density. A number of electron spin models have been put forward to evaluate the values of angular momentum and magnetic moment. The works of Refs. [4, 5, 6, 7, 8, 9] were based on the external motion equations of the electron, some of them could give the correct values of angular momentum and/or magnetic moment; while Refs. [10, 11, 12] discussed the internal structure of the electron and the distributions of the mass and charge, but failed to give the correct values of angular momentum and magnetic moment, and they could not explain what force binds the electric charge together inside the electron. At present, there is no unified model which can both elucidate the mass origin and give the correct values of angular momentum and magnetic moment.
In order to describe the electron spin motion at the level of quantum mechanics, we must get a spin wave function, just as the orbital wave function for the motion of the electron around the nucleus. The paper is organized as follows. Section 2 calculates the angular momentum and magnetic moment of the electron with classical method to show that the correct magnetic moment value cannot be obtained. In section 3, quantum mechanical method is given and the electron spin wave function is obtained. section 4 proceeds to calculate the anomalous magnetic moment to explain its physical origin in classical manner. In section 5, a simple method is proposed to eliminate the infrared and ultraviolet divergences of electron self-energy as well as to solve the hierarchy problem. Discussion and conclusion are given in Section 6.
2 Classical calculations of angular momentum and magnetic moment
We first see the problems in classical models of the electron spin. In Ref. [10], a semi-classical model for electron spin was presented, which assumed that ℏ ω = m0c2 and Rω = c, where ω is the angular frequency of the spinning electron with a mass of m0, thus the radius of the electron is
where ƛc is reduced Compton wavelength. Note that the above expression can also be derived by uncertainty principle. Ref. [10] assumed a mass distribution of the electron of ρ (r) = kr3, where k is a constant and r the distance from the center of the electron. Then the spin value of ℏ /2 could be obtained. The ratio of magnetic moment to angular momentum is 1.055e/m0 based on the hypothesis that ρe /ρm is a constant and ρe is multiplied by a factor of
Here we use a simple thin circular plate model to derive the values of spin angular momentum and magnetic moment. If electron is a sphere, its projection in any given direction is a thin circular plate. Suppose the mass density of the circular plate is uniform, while the electric charge occupies at the edge of the plate. In the case of the electron radius being R = ƛc, the spin angular momentum is
The magnetic moment is
where μB is Bohr magneton. Although this simple model can correctly derive the spin angular momentum and magnetic moment, it has two defects: It cannot elucidate the mass origin and give the three-dimensional distributions of the mass and electric charge. In the following, a simple thin spherical shell model is employed to evaluate the magnetic moment. Let the radius of the shell be R; it rotates with an angular velocity of ω ; the surface density of charge is e/4π R2.
As shown in Fig. 1, there is a circular ring belt on the shell with the perimeter of 2π r = 2π Rsin θ and the width of Rdθ. The area of the ring belt is dS = 2π R2 sin θ d θ ; the electric charge within the belt is de = edS/4π R2; the electric current generated by the rotation of the belt is dI = rωde/2π r; the magnetic moment is dμ = π r2dI = ω eR2sin3θ dθ /4. The overall magnetic moment generated by the rotation of the shell is

The rotating spherical shell model for the electron spin
Let ω R = c and R = ƛc, the result is
If electric charge distributes inside the electron, the magnetic moment will be less than the above value. Although the value is smaller than the correct value, the result greatly inspires us. The reason that we failed to derive the correct value is that we have used the classical model. If quantum mechanical method is adopted, we expect that the correct magnetic moment will be obtained.
3 Quantum mechanical calculations of angular momentum and magnetic moment
In order to calculate the spin angular momentum and magnetic moment, we first make some assumptions for the electron structure. Enlightenment can be achieved from the mass distribution of quarks. Particle physics tells us that the mass of up/down current quark (bare quark) is only several Mev, while the constituent mass of the quark is more than 300 Mev [13], so most of the quark mass comes from the effective masses of the sea quarks (virtual quark-antiquark pairs) and the virtual gluons. Similarly, we think that the electron is composed of point electric charge at the center, virtual electron-positron pairs inside the electron and virtual photons both inside and outside the electron, as shown in Fig. 2.

Illustration of the electron structure. -e is the point electric charge
We assume that the rest energy of the electron originates from the kinetic energies of the virtual electron-positron pairs and virtual photons. The virtual electron-positron pairs are induced by the point electric charge at the center of the electron; while the virtual photons are induced by the motion of the virtual electron-positron pairs. The virtual photons constitute the electromagnetic fields of the electron. There also exist virtual electron-positron pairs outside the electron due to vacuum polarization of the electromagnetic fields. But there is difference between the two instances. Inside the electron, there is a steady distribution of virtual electron-positron pairs due to the induction of the point electric charge. While outside the electron there is no inducing source, the presence of the virtual electron-positron pairs relies on the vacuum polarization, whose probability may be very small (as calculated in the later section). In the case of R = ƛc, the energy of the electromagnetic fields is the order of α (fine structure constant) of the electron rest energy, so the rest energy of electron mainly comes from the energy of the virtual electron-positron pairs.
Let the effective mass of the virtual electron-positron pairs be mp and their speeds be c. For the motion of the virtual electron-positron pairs, it results that
The above equation seems plausible at first glance. However, it is not the case. The electromagnetic fields are generated by the motion of the virtual electron-positron pairs, so the masses of the electromagnetic fields and the virtual electron-positron pairs are tied together and cannot be separated from each other. To change the motion state of the virtual electron-positron pairs implies to change the distribution of electromagnetic fields, so the effective mass of the electromagnetic fields should also be included in the inertial mass of the virtual electron-positron pairs. This is just like the instance where the earth moves with its aerosphere whose mass should also be included in the inertial mass of the earth. Thus the mass of the virtual electron-positron pairs in Eq. (3.1) should be replaced by the observable mass of the electron m0.
In fact, if we think that the overall rest energy of the electron originates from the motion of the virtual particles, it directly leads to
without considering the internal structure of the electron. Quantizing the equation, i.e., substituting p2 with operator −ℏ2Δ, we find
that is,
This is the wave equation for the electron spin. To solve the above equation, we refer to the wave equation of the orbital motion of the electron in hydrogen atom, which is
It can be seen that the wave equation of the spin motion is much simpler that that of the orbital motion. Following the solution to the wave equation of the orbital motion, we adopt separation of variables method. The spin motion is decomposed into angular motions and radial motion. The solutions to the spin angular wave equations are the same as those of orbital angular wave equations. The radial wave equation for the orbital motion is [1]
Similarly, the wave equation for the spin motion can be written as
Eq. (3.7) is spherical Bessel equation. Before starting solving the equation, we first see how to derive the values of angular momentum and magnetic moment with wave function method. In the spherical coordinate system, the gradient operator is
The probability current density in quantum mechanics is
The above expression applies to non-relativistic particles, but it can be verified that it also holds for the particles with the speed of light. In this case, m0 denotes the effective mass. As a particle rotates around the specific z axis, as shown in Fig. 3, we obtain

The rotation of a particle around z axis
It can be seen from Fig. 3 that the differential angular momentum is dJz = m0jϕ r sin θ dV, where dV is the differential volume of the thin circular ring with the cross-sectional area of dσ = rdθ dr and the perimeter of 2π r sin θ. The overall angular momentum is
We then turn to the calculation of magnetic moment. When ejϕ is multiplied by the differential area dσ, where e is the charge of the electron, we get the differential current dI = erjϕ drdθ, which generates the magnetic moment of dμz = π r2sin2θ dI. The overall magnetic moment for the spinning electron is
The above arguments may refer to Ref. [1]. For our electron spin model, if we assume a quantum number l = 1/2 for angular momentum while l = 1 for magnetic moment, we get the correct values. The reason that we use two different quantum numbers for the electron spin is that the mass distribution and the charge distribution inside the electron are different based on the model of Fig. 2. In contrast, the quantum numbers of the angular momentum and the magnetic moment can be regarded as equal for the orbital motion of the electron. This is because the electron radius is much smaller compared to the orbital radius; the orbital motion around the nucleus may be regarded as the motion of a point particle; while the spin magnetic moment is due to the rotation of electric dipole, which is the deep reason for a Landé g-factor of 2. For the electron structure model of Fig. 2, our goal is to solve for the distributions of mass and charge inside the electron. As we are more interested in the charge distribution, we solve the spherical Bessel equation for l = 1. In this case, the two specific solutions are
respectively. Now consider the boundary condition at r = 0, where we should have rψ (r) → 0. It can be seen that rJ1 (r) → 0 and rn1 (r) → ∞, so we may assume R(r) = k1J1 (r), where k1 is a constant and can be derived by the normalization condition of the wave function. As
if the upper limit of the integral is infinity, the above expression will diverge, so the electron must have a definite radius, which is obviously different from the orbital motion that may extend to infinity. We assume a radius of ƛc for the electron. As r is very small, we expand R(r) into power series. As
we obtain
It follows that
The wave function for the charge distribution inside the electron is
It can be seen that inside the electron the charge density increases with r and reaches a maximum value at the surface. We know that the classical motion of a particle corresponds to the motion state with a maximum probability in quantum mechanics, so the thin circular plate model can obtain the correct magnetic moment. In the meanwhile, it is interesting to see that the charge density becomes zero at the center, which shows that the electric charge of the point charge is totally shielded by the virtual positrons.
Now consider the instance of l = 0, which represents the non-polarized state of the electron. In this case, Eq. (3.7) can be written as
whose two specific solutions are
From the normalization condition of the wave function we find
4 Quantum mechanical calculation of anomalous magnetic moment
In quantum field theory, the anomalous magnetic moment is due to the electron vertex function. It is the higher-order correction as an electron experiences an external electromagnetic fields. We may explain the origin of anomalous magnetic moment in a classical manner. The spin of a free electron is unpolarized, thus a free electron has only electric field and has no spin magnetic moment. When an external magnetic field is exerted on the electron, its spin direction is parallel to the direction of the external magnetic field. In the first-order approximation, the magnetic moment of the electron may be regarded as generated by the rotation of the virtual electron-positron pairs inside the electron and is just a Bohr magneton. In higher-order correction, we need to take into account the magnetic moment generated by the rotation of the virtual electron-positron pairs due to vacuum polarization. This part of the magnetic moment is the anomalous magnetic moment in quantum electrodynamics. The virtual photons cannot always be in the vacuum polarization state; otherwise there will be no difference between the virtual electron-positron pairs inside and outside the electron. That is to say, there is a probability for the virtual photons to convert into virtual electron-positron pairs. When all the virtual photons have converted into virtual electron-positron pairs, we suppose the relation between the magnetic moment and the angular momentum of the electromagnetic fields is the same as that of virtual electron-positron pairs inside the electron. Thus for the magnetic moment arising from vacuum polarization, we find
where {μ′ is anomalous magnetic moment; Jem is the angular momentum of the electromagnetic fields; mem is the effective mass of the electromagnetic fields; η is the probability of the virtual photons converting into virtual electron-positron pairs. In the following, we first calculate Jem and mem based on the wave function of charge distribution, then evaluate μ′ based on Eq. (4.1).
We first derive the electromagnetic fields generated by an electrified thin circular ring at any space point. As shown in Fig. 4, the radius of the circular ring is a, and the electric charge is q. The electric fields are symmetrical with respect to ϕ0 and only relate to r0 and θ0. For simplicity, we calculate the electrical fields at point p(r0,θ0,0) located in the x-z plane. The detailed calculation process may refer to Ref. [14], the results are

Electromagnetic fields generated by a thin circular ring
where
Similarly, suppose the electric current in the circular ring is I, the magnetic fields are [15]
We now turn to the calculation of electromagnetic fields of a spinning electron. As shown in Fig. 5, the origin coincides with the center of the electron. The coordinates of point p in the x-z plane is p(r,θ). The space occupied by the distribution of wave function of the spinning electron is divided into lots of volume elements of thin circular ring with the cross-sectional area of dσ1 = r1dθ1dr1 and the perimeter of 2π a. The differential volume is dV1 =

Electromagnetic fields generated by the spinning electron
The electromagnetic fields generated by a circular ring are shown in Eqs. (4.2) and (4.4). However, in the two expressions, the coordinates of point p are represented by (r0,θ0), which should be represented with (r,r1,θ,θ1) for the convenience of subsequent integral calculation. According to the geometric relation in Fig. 5, we find
We first simplify three expressions which will be used subsequently:
The electromagnetic fields generated by the spinning electron at point p(r,θ) are
The angular momentum of the electromagnetic fields is
The energy of the electromagnetic fields is
The effective mass of the electromagnetic fields is
The above expressions can be computed with Mathematica software. The results indicate that the angular momentum and electromagnetic energy of the electron concentrate mainly within the near region. For example, we obtain mem = 0.00641m0 within the region of 0-10R and mem = 0.00674m0 within the region of 0-100R. This is due to the fact that E and B decrease with r2. Thus enough precision can be reached with an upper limit of 10000R for radial integrals. The computed results are
In order for the result of anomalous magnetic moment to agree with that of quantum electrodynamics, η should be 0.0011596/0.8205 = 0.00141. It can be seen that the probability of the virtual photons converting into virtual electron-positron pairs is very small. Although the above method cannot directly derive the value of anomalous magnetic moment, it is helpful for us to understand its physical origin.
5 Proposal for the treatment of divergence of self-energy in quantum field theory
In quantum field theory, bare electron is a point particle, and its proper mass and electromagnetic mass are both infinite; but the sum of the two terms are finite, which is the observable mass of the electron [16]. Based on our electron structure model and calculations, the proper mass and the electromagnetic mass are both finite. The divergence of the electron self-energy in quantum field theory arises from the emission and absorption of virtual photons. As there are infinite number of virtual photons, the self-energy integral of electron diverges, which is the ultra-violet divergence. In addition, there exists infrared divergence, which arises from the virtual photons with zero frequency.
The electron continuously emits and absorbs virtual photons with various frequencies, which leads to the fluctuation of the electron energy. In general, the electron-virtual photon system is similar to a heat equilibrium system, so we may think that the probability of the electron emitting and absorbing a virtual photon with certain energy (or frequency) also obeys the statistical law of heat equilibrium system. In order to eliminate infinity of electron self-energy, we make two assumptions: (i) The overall energy of the virtual photons equals the electromagnetic energy. Virtual photons continuously appear and then disappear; during their mean surviving time, their energies constitute the energy of the electromagnetic fields. (ii) The probabilities of the electron emitting virtual photons with different frequencies are different. In quantum field theory, the probabilities are 1 for virtual photons with any frequency, which leads to the divergence of electron self-energy. In order to get rid of infrared and ultra-violet divergences, we must assume that the probabilities tend to be zero as frequency approaches zero and infinity. We now have two formulae for reference: One is Maxwell-Boltzmann distribution; the other is Planck’s black body radiation law. The latter holds for the instance of discrete energy spectrum. For a free electron, the energy spectrum of the virtual photons should be continuous, so we refer to the former to write out the expression of frequency distribution of virtual photons. The Maxwell-Boltzmann distribution is
In the above expression, the kinetic energy of a molecule is mv2/2; while the energy of a virtual photon is ℏ ω, so we suppose the frequency distribution of the virtual photons to be
where C0 and x0 are determined by the following equations:
It’s easy to obtain x0 = Eem /2ℏ and
It should be noted that our above prescription for the divergence of the electron self-energy introduces an extra parameter of Eem. Although it can be calculated with Eq. (4.18), it is only the classical approximate value. In order to obtain its precise value, we should consider higher-order effect. As a matter of fact, in the calculation of radiative corrections in quantum field theory, we don’t need to know the electromagnetic mass of the electron. We only need to separate the finite terms from the divergent terms and take them as the radiative correction terms. Similarly, we don’t need to know the exact value of Eem after introducing Maxwell-Boltzmann distribution. What we need to do is separate the terms containing Eem and incorporate them into the observable mass of the free electron. The remaining terms are the higher-order correction terms. In quantum field theory, the electromagnetic mass is included in the observable mass of free electron and the infinite terms are cancelled by counterterms. It can be seen that our method is basically the same as that of quantum field theory in essence. The infinite terms in quantum field theory correspond to the finite terms containing Eem in our theory.
Another application of Maxwell-Boltzmann distribution in quantum field theory is the hierarchy problem. The Higgs boson mass is about 125 GeV [17, 18], but the quantum corrections will push its mass up to the gravitational scale, that is, the order of 1018 GeV. The most important contributions are the one-loop diagrams involving the top quark, the SU(2.2)× U(2.1) gauge bosons, and the Higgs boson itself. Supersymmetry provides a solution to this puzzle. However, the current LHC experiments have excluded large parameter regions of supersymmetric extensions of the standard model (see e.g. [19, 20]). Our above proposal offers an alternative solution to the hierarchy problem.
6 Discussion and conclusion
Modern high-energy experiments have revealed that the electron may be regarded as a point particle. But point particle model leads to infinite self-energy and cannot derive the correct spin magnetic moment; while Stern-Gerlach experiment demonstrated that the spin magnetic moment of the electron does exist, so the electron must have internal structure. In most of the literature the electron radius is taken as one reduced Compton wavelength. In our electron model, given that the angular quantum numbers of the mass distribution and the charge distribution are 1/2 and 1 respectively, the correct values of the angular momentum and magnetic moment can be obtained whatever the value of the electron radius is. However, if we take into other aspects into account, such as the electromagnetic energy of the electron, the rotational speed of the surface of the electron and the uncertainty principle, then it is reasonable that the electron has a radius of reduced Compton wavelength. In our model, the distribution of the electric charge is spherically symmetric for an unpolarized electron; its Coulomb interaction with other particles is the same as that of a point particle. Besides, the mass of the electron increases with its velocity. When the energy of the electron grows large, the radius of the electron decreases, it is more like a point particle, so the electron with a certain radius does not conflict with the point particle model as far as Coulomb interaction is concerned.
The aim of our electron spin model is to intuitively understand the internal structure of the electron and explore the origins of its mass and spin. Although the model can correctly derive the values of angular momentum and magnetic moment, it cannot directly evaluate the value of anomalous magnetic moment, which reveals the deficiency of quantum mechanics and the necessity of developing quantum field theory. However, the present formalism of quantum field theory suffers from the infinite particle self-energy. We expect that by introducing Maxwell-Boltzmann distribution, the divergence of the self-energy will disappear and the hierarchy problem will be solved.
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Appendix A: Mathematica source program for evaluation of anomalous magnetic moment and the output results
c = 299792458;
e = 1.6021766208*10^ – 19;
m0 = 9.10938356*10^ – 31;
planckc = 6.62606896*10^ – 34/(2*Pi);
u0 = 4 * Pi * 10^ – 7;
R = 3.8615926764*10^ – 13;
BohrMagneton = 9.274009994*10^ – 24;
AnoMagMoment = 0.00115965218091*BohrMagneton;
= 45/R^5;
[r_,r1_,xita_,xita1_]: = r*r+r1*r1-2*r*r1*Cos[xita+xita1];
[r_,r1_,xita_,xita1_]: = r*r+r1*r1-2*r*r1*Cos[xita-xita1]; k[r_,r1_,xita_,xita1_]: = 4*r*r1*Sin[xita]*Sin[xita1]/f1[r,r1,xita,xita1];
[r_?NumericQ,xita_?NumericQ]: = NIntegrate[r1^4*Sin[xita1]^3/Sqrt[f1[r,r1,xita,xita1]]*((2*r*r1*Cos[xita]*Cos[xita1]-r1*r1-r*r*Cos[2*xita])/f2[r,r1,xita,xita1]*EllipticE[k[r,r1,xita,xita1]]+EllipticK[k[r,r1,xita,xita1]]),{xita1,0,Pi},{r1,0,R}];
[r_?NumericQ,xita_?NumericQ]: = NIntegrate[2*r1^4*Sin[xita1]^3*(r*Cos[xita]-r1*Cos[xita1])/Sqrt[f1[r,r1,xita,xita1]]/f2[r,r1,xita,xita1]*EllipticE[k[r,r1,xita,xita1]],{xita1,0,Pi},{r1,0,R}];
[r_?NumericQ,xita_?NumericQ]: = NIntegrate[r1*r1*Sin[xita1]*(r*Cos[xita]-r1*Cos[xita1])/Sqrt[f1[r,r1,xita,xita1]]*((r*r+r1*r1-2*r*r1*Cos[xita]*Cos[xita1])/f2[r,r1,xita,xita1]*EllipticE[k[r,r1,xita,xita1]]-EllipticK[k[r,r1,xita,xita1]]),{xita1,0,Pi},{r1,0,R}];
[r_?NumericQ,xita_?NumericQ]: = NIntegrate[r1*r1*Sin[xita1]/Sqrt[f1[r,r1,xita,xita1]]*((2*r*r1*Cos[xita]*Cos[xita1]-r*r-r1*r1*Cos[2*xita1])/f2[r,r1,xita,xita1]*EllipticE[k[r,r1,xita,xita1]]+EllipticK[k[r,r1,xita,xita1]]),{xita1,0,Pi},{r1,0,R}];
Date List[]
EMenergy = 1/48/48*e*e*u0*k2^2/Pi^3*NIntegrate[(Ex[r,xita]^2/Sin[xita]+Ez[r,xita]^2*r*r*Sin[xita])*c^2+planckc^2/m0^2*(Bx[r,xita]^2/Sin[xita]+Bz[r,xita]^2*r*r*Sin[xita]),{xita,0,Pi},{r,0,10000*R}];
J = 2/48/48*e*e*u0*planckc*k2^2/Pi^3/m0*NIntegrate[r*r*Sin[xita]*(Ez[r,xita]*Bx[r,xita]-Ex[r,xita]*Bz[r,xita]),{xita,0,Pi},{r,0,10000*R}];
EMmass = EMenergy/c^2;
u = e/EMmass*J;
eta = AnoMagMoment/u
UnitEMmass = EMmass/m0
UintAngularMomentum = J/planckc
UnitMagneticMoment = u/BohrMagneton
DateList[]
{2016,12,23,20,42,59.0931850}
NIntegrate::slwcon:
Numerical integration converging too slowly; suspect one of the following: singularity, value of the integration is 0, highly oscillatory integrand, or WorkingPrecision too small.
NIntegrate::ncvb: NIntegrate failed to converge to prescribed accuracy after 18 recursive bisections in r near {xita,r} = {2.23377,3.81608x10-13}. NIntegrate obtained 4.473302206913984*^95 and 4.396409698419378*^100 for the integral and error estimates.
NIntegrate::slwcon: Numerical integration converging too slowly; suspect one of the following: singularity, value of the integration is 0, highly oscillatory integrand, or WorkingPrecision too small.
NIntegrate::ncvb: NIntegrate failed to converge to prescribed accuracy after 18 recursive bisections in r near {xita,r} = {1.26097,3.56375x10-13}. NIntegrate obtained 1.0209341758374409*^112 and 1.214693034211504*^117 for the integral and error estimates.
0.00141337
0.00677574
0.0027797
0.820485
{2016,12,25,1,54,3.7845951}
(Note: The above results are obtained under the following running environment: 64bit Operating System of Windows 7; Mathematica 9.01; Intel(R) Core(TM) i5-4590 CPU @ 3.30GHz, 3.30GHz; 4GB Memory.)
© 2017 Hai-Long Zhao
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
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- Chiral symmetry restoration and the critical end point in QCD
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- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
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- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
- A mathematical/physics model to measure the role of information and communication technology in some economies: the Chinese case
- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
- Numerical modeling of the thermoelectric cooler with a complementary equation for heat circulation in air gaps
- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
- On the libration collinear points in the restricted three – body problem
- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
- Research on Critical Nodes Algorithm in Social Complex Networks
- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
- A simulation based research on chance constrained programming in robust facility location problem
- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
- A mathematical/physics carbon emission reduction strategy for building supply chain network based on carbon tax policy
- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
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- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
- A real negative selection algorithm with evolutionary preference for anomaly detection
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- A privacy-preserving parallel and homomorphic encryption scheme
- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
- Random walk-based similarity measure method for patterns in complex object
- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
- A Mathematical Study of Accessibility and Cohesion Degree in a High-Speed Rail Station Connected to an Urban Bus Transport Network
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- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
- Expanded Study on the accumulation effect of tourism under the constraint of structure
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- Unstructured P2P Network Load Balance Strategy Based on Multilevel Partitioning of Hypergraph
- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
- Research on the method of information system risk state estimation based on clustering particle filter
- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
- Demand forecasting and information platform in tourism
- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
- Physical-chemical properties studying of molecular structures via topological index calculating
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- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
- Comparisons of feature extraction algorithm based on unmanned aerial vehicle image
- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
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- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
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- Special issue on Nonlinear Dynamics in General and Dynamical Systems in particular
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- Special Issue on Advances on Modelling of Flowing and Transport in Porous Media
- Coupling of two-phase flow in fractured-vuggy reservoir with filling medium
- Special Issue on Advances on Modelling of Flowing and Transport in Porous Media
- Production decline type curves analysis of a finite conductivity fractured well in coalbed methane reservoirs
- Special Issue on Advances on Modelling of Flowing and Transport in Porous Media
- Flow Characteristic and Heat Transfer for Non-Newtonian Nanofluid in Rectangular Microchannels with Teardrop Dimples/Protrusions
- Special Issue on Advances on Modelling of Flowing and Transport in Porous Media
- The size prediction of potential inclusions embedded in the sub-surface of fused silica by damage morphology
- Special Issue on Advances on Modelling of Flowing and Transport in Porous Media
- Research on carbonate reservoir interwell connectivity based on a modified diffusivity filter model
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- The method of the spatial locating of macroscopic throats based-on the inversion of dynamic interwell connectivity
- Special Issue on Advances on Modelling of Flowing and Transport in Porous Media
- Unsteady mixed convection flow through a permeable stretching flat surface with partial slip effects through MHD nanofluid using spectral relaxation method
- Special Issue on Advances on Modelling of Flowing and Transport in Porous Media
- A volumetric ablation model of EPDM considering complex physicochemical process in porous structure of char layer
- Special Issue on Advances on Modelling of Flowing and Transport in Porous Media
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- Special Issue on Advances on Modelling of Flowing and Transport in Porous Media
- Macroscopic lattice Boltzmann model for heat and moisture transfer process with phase transformation in unsaturated porous media during freezing process
- Special Issue on Advances on Modelling of Flowing and Transport in Porous Media
- Modelling of intermittent microwave convective drying: parameter sensitivity
- Special Issue on Advances on Modelling of Flowing and Transport in Porous Media
- Simulating gas-water relative permeabilities for nanoscale porous media with interfacial effects
- Special Issue on Advances on Modelling of Flowing and Transport in Porous Media
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- Special Issue on Advances on Modelling of Flowing and Transport in Porous Media
- Investigation effect of wettability and heterogeneity in water flooding and on microscopic residual oil distribution in tight sandstone cores with NMR technique
- Special Issue on Advances on Modelling of Flowing and Transport in Porous Media
- Analytical modeling of coupled flow and geomechanics for vertical fractured well in tight gas reservoirs
- Special Issue on Ever-New "Loopholes" in Bell’s Argument and Experimental Tests
- Special Issue: Ever New "Loopholes" in Bell’s Argument and Experimental Tests
- Special Issue on Ever-New "Loopholes" in Bell’s Argument and Experimental Tests
- The ultimate loophole in Bell’s theorem: The inequality is identically satisfied by data sets composed of ±1′s assuming merely that they exist
- Special Issue on Ever-New "Loopholes" in Bell’s Argument and Experimental Tests
- Erratum to: The ultimate loophole in Bell’s theorem: The inequality is identically satisfied by data sets composed of ±1′s assuming merely that they exist
- Special Issue on Ever-New "Loopholes" in Bell’s Argument and Experimental Tests
- Rhetoric, logic, and experiment in the quantum nonlocality debate
- Special Issue on Ever-New "Loopholes" in Bell’s Argument and Experimental Tests
- What If Quantum Theory Violates All Mathematics?
- Special Issue on Ever-New "Loopholes" in Bell’s Argument and Experimental Tests
- Relativity, anomalies and objectivity loophole in recent tests of local realism
- Special Issue on Ever-New "Loopholes" in Bell’s Argument and Experimental Tests
- The photon identification loophole in EPRB experiments: computer models with single-wing selection
- Special Issue on Ever-New "Loopholes" in Bell’s Argument and Experimental Tests
- Bohr against Bell: complementarity versus nonlocality
- Special Issue on Ever-New "Loopholes" in Bell’s Argument and Experimental Tests
- Is Einsteinian no-signalling violated in Bell tests?
- Special Issue on Ever-New "Loopholes" in Bell’s Argument and Experimental Tests
- Bell’s “Theorem”: loopholes vs. conceptual flaws
- Special Issue on Ever-New "Loopholes" in Bell’s Argument and Experimental Tests
- Nonrecurrence and Bell-like inequalities
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Three-dimensional computer models of electrospinning systems
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Electric field computation and measurements in the electroporation of inhomogeneous samples
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Modelling of magnetostriction of transformer magnetic core for vibration analysis
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Comparison of the fractional power motor with cores made of various magnetic materials
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Dynamics of the line-start reluctance motor with rotor made of SMC material
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Inhomogeneous dielectrics: conformal mapping and finite-element models
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Topology optimization of induction heating model using sequential linear programming based on move limit with adaptive relaxation
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Detection of inter-turn short-circuit at start-up of induction machine based on torque analysis
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Current superimposition variable flux reluctance motor with 8 salient poles
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Modelling axial vibration in windings of power transformers
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Field analysis & eddy current losses calculation in five-phase tubular actuator
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Hybrid excited claw pole generator with skewed and non-skewed permanent magnets
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Electromagnetic phenomena analysis in brushless DC motor with speed control using PWM method
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Field-circuit analysis and measurements of a single-phase self-excited induction generator
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- A comparative analysis between classical and modified approach of description of the electrical machine windings by means of T0 method
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Field-based optimal-design of an electric motor: a new sensitivity formulation
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Application of the parametric proper generalized decomposition to the frequency-dependent calculation of the impedance of an AC line with rectangular conductors
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Virtual reality as a new trend in mechanical and electrical engineering education
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Holonomicity analysis of electromechanical systems
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- An accurate reactive power control study in virtual flux droop control
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Localized probability of improvement for kriging based multi-objective optimization
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Research of influence of open-winding faults on properties of brushless permanent magnets motor
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Optimal design of the rotor geometry of line-start permanent magnet synchronous motor using the bat algorithm
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Model of depositing layer on cylindrical surface produced by induction-assisted laser cladding process
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Detection of inter-turn faults in transformer winding using the capacitor discharge method
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- A novel hybrid genetic algorithm for optimal design of IPM machines for electric vehicle
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Lamination effects on a 3D model of the magnetic core of power transformers
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Detection of vertical disparity in three-dimensional visualizations
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Calculations of magnetic field in dynamo sheets taking into account their texture
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- 3-dimensional computer model of electrospinning multicapillary unit used for electrostatic field analysis
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Optimization of wearable microwave antenna with simplified electromagnetic model of the human body
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Induction heating process of ferromagnetic filled carbon nanotubes based on 3-D model
- Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
- Speed control of an induction motor by 6-switched 3-level inverter