Home Finite-size effects in one-dimensional Bose–Einstein condensation of photons
Article Open Access

Finite-size effects in one-dimensional Bose–Einstein condensation of photons

  • Zhi-Jie Liu and Mi Xie EMAIL logo
Published/Copyright: April 28, 2022

Abstract

The finite-size effect plays a key role in one-dimensional Bose–Einstein condensation (BEC) of photons since such condensation cannot occur in the thermodynamic limit due to the linear dispersion relation of photons. However, since a divergence difficulty arises, the previous theoretical analysis of the finite-size effect often only gives the leading-order contribution. In this article, by using an analytical continuation method to overcome the divergence difficulty, we give an analytical treatment for the finite-size effect in BEC. We show that the deviation between experiment and theory becomes much smaller by taking into account the next-to-leading correction.

1 Introduction

The Bose–Einstein condensation (BEC) of photons was generally believed to be impossible since the number of photons is not conserved and the extremely weak interaction between photons cannot thermalize the gas. However, the situation changed in recent years. By trapping photons in a dye-filled microcavity, the BEC has been realized in two-dimensional systems [1,2, 3,4]. In these experiments, the photons are trapped between two curved mirrors. The fixed longitudinal momentum gives an effective mass to the photon and a nonvanishing chemical potential to the photon gas. The repeated absorbtion and emission cycle of the dye molecules thermalizes the photon gas. Recently, a one-dimensional photon condensation is also reported [5]. In the experiment, the photons are confined in a closed Erbium–Ytterbium co-doped fiber with a cutoff wavelength. The existence of the cutoff wavelength gives the photons a nonvanishing chemical potential.

In the experiments of the photon condensation, the finite particle number makes the behavior of the phase transition different from the thermodynamic limit case. In particular, the finite-size effect in the one-dimensional condensation is of special interest since such a condensation cannot occur in thermodynamic limit due to the linear dispersion relation of photons. The finite-size effect has a significant influence in this case and needs to be carefully analyzed.

Many studies have been devoted to the finite-size effect in BEC. However, besides the numerical calculation method [6,7], the previous approximate methods can only give the leading-order correction to the critical temperature and the condensate fraction [8,9,10]. The main obstacle for accurately studying the finite-size effect is the divergence problem: When taking into account the contribution from the discrete energy levels of the trapped particles accurately, most terms in the expressions of thermodynamic quantities become divergent at the transition point.

To overcome the divergence difficulty, we will use an analytical continuation method [11,12] to give an analytical treatment to the problem of photon condensation. In this way, we will obtain more accurate expressions of critical temperature and condensate fraction with next-to-leading corrections. We will also give the analytical expression of the chemical potential, which is hard to obtain before. Our result shows that the chemical potential is linear in temperature at low temperature, which is quite different from the thermodynamic limit case. The comparison with the numerical solution confirms our result.

In the experiment of one-dimensional photon condensation [5], the deviation of the critical particle number between experiment and theory is about 5.6%. However, according to our result, this deviation is mainly caused by the inaccurate estimate of the finite-size effect in the previous studies. If the finite-size effect is correctly taken into account, the deviation between experiment and theory will reduce to about 1.4%, i.e., the agreement is actually very well.

This article is organized as follows. In Section 2, we give an analytical treatment to the finite-size effect of the photon condensation in one dimension. In Section 3, we compare our result with the experiment. Conclusions and some discussions are presented in Section 4.

2 Critical temperature and chemical potential

Consider photons in a one-dimensional closed fiber with length L and index of refraction n . The possible frequencies of the photons are restricted by periodic boundary conditions as

(1) ω = m 2 π c n L m Δ ,

where m is an integer, and we have introduced Δ 2 π c / n L with c as the speed of light in vacuum. If there is a cutoff frequency ω 0 = m 0 Δ , namely, only the photons with a frequency higher than ω 0 can exist in the fiber and the quantum number m in Eq. (1) must not be less than m 0 . For convenience, we shift the energy spectrum to make the ground-state energy vanish. Then, the spectrum of the photons in the fiber becomes

(2) ε m = m Δ , ( m = 0 , 1 , 2 , 3 , ) .

The photon in such a system has the same energy spectrum as that of nonrelativistic particles in a one-dimensional harmonic trap, and hence, these two kinds of systems should show the same transition behavior.

As we know, the BEC occurs when the number of excited particles N e equals the total number of particles N at the chemical potential μ = 0 . The excited photon number is

(3) N e = m = 1 1 e β ( ε m μ ) 1 ,

where β = 1 / k B T with k B the Boltzmann constant. In the thermodynamic limit, the energy spectrum becomes continuous and the density of states is ρ ( ε ) = 1 / Δ , and the summation in Eq. (3) is converted to an integral as follows:

(4) N e = 1 Δ 0 1 e β ( ε μ ) 1 d ε = 1 β Δ g 1 ( e β μ ) ,

where g σ ( z ) = = 1 z / σ is the Bose–Einstein integral, which has the following asymptotic behavior

(5) g σ ( e β μ ) ζ ( σ ) , ( σ > 1 ) ln ( β μ ) , ( σ = 1 ) Γ ( σ + 1 ) 1 ( β μ ) σ + 1 , ( σ < 1 ) ( μ 0 ) .

In the thermodynamic limit, N e in Eq. (4) is divergent at μ = 0 . This implies that there is no phase transition (in fact, under the continuous-spectrum condition, the ground-state number is also included in N e . However, subtracting the ground-state number from N e cannot avoid the divergence difficulty).

On the other hand, in finite systems, the energy spectrum is discrete and the first excited energy is not 0, the summation in Eq. (3) should be convergent and a finite critical temperature can be obtained. In ref. [5], the summation is approximately converted to an integral similar to Eq. (4), but the lower limit of the integral is replaced by the first excited energy Δ . Then, the critical particle number can be calculated as follows [5]:

(6) N c ( 0 ) = k B T Δ ln k B T Δ .

In this treatment, the interval between the ground state and the first excited state is taken into account, but the higher levels are still regarded as continuous. In fact, many previous studies of BEC in finite systems along the similar line. The finite-size effect of the BEC in one-dimensional harmonic trap is also discussed in refs. [8,9,10]. Although the treatments have some difference, they all depended on similar approximations and can only give the leading-order correction similar to Eq. (6) (may differ by a factor).

Obviously, a more rigorous treatment of Eq. (3) is to perform the summation directly. To do this, one can Taylor expand every term in the summation as follows:

(7) N e = m = 1 1 e β ( ε m μ ) 1 = m = 1 = 1 [ e β ( ε m μ ) ] = = 1 e β μ K ( β Δ ) ,

where

(8) K ( t ) = m = 1 e m t = 1 e t 1

is the global heat kernel [13,14,15]. For small t , the heat kernel (8) can be expanded as a series of t ,

(9) K ( t ) = k = 0 C k t k 1 , ( t 0 + )

with the coefficients

(10) C 0 = 1 , C 1 = 1 2 , C 2 = 1 12 , C 3 = 0 , C 4 = 1 720 , .

Substituting the heat kernel expansion (9) into Eq. (7), we have

(11) N e = k = 0 C k ( β Δ ) k 1 g 1 k ( e β μ ) .

A similar treatment can also apply to the grand potential and other thermodynamic quantities, and these quantities are also expressed as the series of the Bose–Einstein integrals. The higher-order correction terms can describe the influence of the boundary, the potential, or the topology, depending on the details of specific systems. This heat kernel expansion approach has been applied to various problems in statistical physics [13,16]. However, a serious difficulty arises when considering the problem of BEC phase transition. Due to the asymptotic form of the Bose–Einstein integral Eq. (5), every term in equation (11) is divergent at μ 0 , and the divergence becomes more severe in the higher orders. This divergence difficulty is the main obstacle for treating the problem of phase transition in finite systems. As mentioned earlier, in ref. [5], the divergence is avoided by replacing the summation of excited states with an integral approximately, but this approach only gives the leading-order correction to the critical temperature. If we want to obtain a more accurate result, the divergence problem in Eq. (11) must be solved. In the following, we will use an analytical continuation method [11,12] based on the heat kernel expansion to overcome the divergence problem.

First, substituting the leading term of the asymptotic expansion of each Bose–Einstein integral (5) into Eq. (11) gives

(12) N e = C 0 ln ( β μ ) β Δ + k = 1 C k ( β Δ ) k 1 Γ ( k ) 1 ( β μ ) k .

The summation in the second term can be represented by the heat kernel if the gamma function is replaced by the integral form

(13) Γ ( ξ ) = 0 x ξ 1 + s e x d x , ( s 0 ) ,

where we have introduced a small parameter s , which will be taken as 0 at the end of the calculation. Then, Eq. (12) becomes

(14) N e = C 0 ln ( β μ ) β Δ + 0 d x e x x s k = 1 C k ( β Δ ) k 1 x k 1 1 ( β μ ) k = C 0 ln ( β μ ) β Δ + 0 d x e x x s 1 β μ k = 1 C k x Δ μ k 1 .

The summation in the last term differs from the heat kernel expansion (9) only by one term corresponding to k = 0 , and it can be expressed by the heat kernel as follows:

(15) N e = C 0 ln ( β μ ) β Δ + 0 d x e x x s 1 β μ K x Δ μ C 0 μ x Δ = C 0 ln ( β μ ) β Δ + Γ ( 1 + s ) β μ m = 1 1 + m Δ μ 1 s C 0 Γ ( s ) β Δ .

In the last step, the definition of heat kernel (8) has been employed to perform the integral, i.e.,

(16) 0 d x e x x s m = 1 e m x Δ μ = m = 1 Γ ( 1 + s ) 1 + m Δ μ 1 s .

For μ 0 , the summation in Eq. (15) becomes

(17) m = 1 1 + m Δ μ 1 s m = 1 m Δ μ 1 s = ζ ( 1 + s ) ( μ ) 1 + s ( Δ ) 1 + s ,

where ζ ( s ) = n = 1 n s is the Riemann ζ -function.

Now taking the limit s 0 in Eq. (15), we have

(18) N e ln ( β μ ) β Δ + 1 β Δ ln μ Δ + γ E = 1 β Δ ln 1 β Δ + γ E ,

where the Euler constant γ E = 0.577216 . In this result, all the divergent terms of s and μ are canceled, and the expression of the number of excited particles is completely analytical. That is to say, with the help of the idea of analytical continuous, the heat kernel expansion is successfully applied to the phase transition point and the divergence is eliminated.

From Eq. (18), the critical particle number for a given temperature T is obviously

(19) N c = k B T Δ ln k B T Δ + γ E .

The critical temperature for a fixed particle number N is

(20) T c = Δ k B N W ( N e γ E ) ,

where W ( z ) is the Lambert W function, satisfying z = W ( z e z ) . This critical temperature is lower than the previous result corresponding to the critical particle number (6)

(21) T 0 = Δ k B N W ( N ) .

According to the asymptotic expansion of the Lambert function W ( x ) ln x ln ln x for x , the critical temperature can be approximated as follows:

(22) T c Δ k B N ln N + γ E ln ( ln N + γ E ) .

We retain the second term in the denominator since for a relative small particle number, e.g., N 1 0 4 , ln ln N is not much smaller than ln N .

The condensate fraction is straightforward from Eq. (18),

(23) N 0 N = 1 1 N k B T Δ ln k B T Δ + γ E .

This result is not very accurate, especially near the transition point. The reason is that the chemical potential is taken as 0 below the transition point in the aforementioned calculation, which is of course an approximation. As the temperature tends to the transition point, the deviation of the chemical potential from 0 becomes larger and larger. To describe the phase transition more accurately, we need to find the expression of the chemical potential.

The chemical potential μ can be addressed by the help of the analytical result of the number of excited particles (18). For a small but nonzero chemical potential μ , the ground-state particle number 1 / ( β μ ) is not zero at the phase transition point. Then, the total particle number N should contain the contributions from both the ground state and the excited states:

(24) N = 1 β μ + N e .

Here, the number of excited particles N e takes the same form as equation (15), but in the summation (17), an extra term that is proportional to μ should be added. Similar to the aforementioned procedure, we can obtain

(25) N 0 = 1 β μ ζ ( 2 ) β μ ( β Δ ) 2 1 2 + 1 2 β μ β Δ ,

where N 0 has been given in Eq. (23). In the right-hand side of Eq. (25), the last two terms are small. After neglecting these two terms, the chemical potential can be solved as follows:

(26) μ = 6 π Δ 1 + 3 2 π T 0 T N 0 N / ln N 2 3 2 π T 0 T N 0 N / ln N .

An interesting feature of this result is that at low temperature T T c , the chemical potential is expressed as follows:

(27) μ Δ 1 ln N T T 0 , ( T T c ) ,

which is linearly related to the temperature. This is different from the thermodynamic limit result

(28) μ = k B T e Δ k B T N , ( T T c ) ,

which is exponentially small and leads to an unreasonable large particle number in the ground state at low temperature. In Figure 1, we compare the chemical potential in Eq. (26) with the thermodynamic limit result and the exact numerical solution, and it confirms the aforementioned low-temperature behavior.

Figure 1 
               The chemical potential below the critical temperature for total particle number 
                     
                        
                        
                           N
                           =
                           1
                           
                              
                                 0
                              
                              
                                 4
                              
                           
                        
                        N=1{0}^{4}
                     
                  . Our result of critical temperature 
                     
                        
                        
                           
                              
                                 T
                              
                              
                                 c
                              
                           
                        
                        {T}_{{\rm{c}}}
                     
                   is lower than the previous result 
                     
                        
                        
                           
                              
                                 T
                              
                              
                                 0
                              
                           
                        
                        {T}_{0}
                     
                  . At low temperature, the chemical potential is approximately linearly related to the temperature.
Figure 1

The chemical potential below the critical temperature for total particle number N = 1 0 4 . Our result of critical temperature T c is lower than the previous result T 0 . At low temperature, the chemical potential is approximately linearly related to the temperature.

3 Comparison with the experiment

In Eq. (19), we present the critical particle number of BEC in the one-dimensional photon system. Compared with the previous result [5] given in Eq. (6), the leading-order term is the same, but our result also gives a new next-to-leading correction term. This next-to-leading correction leads to a relative deviation as follows:

(29) N c N c ( 0 ) N c ( 0 ) = γ E ln k B T Δ γ E ln N c ( 0 ) .

It indicates that the previous treatment in which the excited states are regarded as continuous gives a lower prediction of the order of 1 / ln N , which is usually not very small in realistic systems.

The following are the relevant experimental parameters [5]. The length of the fiber L = 27 m , the refraction coefficient n = 1.444 , the critical temperature T = 296 K , and the cutoff wavelength λ 0 = 1,568 nm . Then, the critical particle numbers given by Eqs. (6) and (19) are as follows:

(30) N c ( 0 ) = 1.09 × 1 0 7 , N c = 1.14 × 1 0 7 .

Our prediction of N c is about 4.2% higher than N c ( 0 ) given in ref. [5].

In the experiment [5], the measured quantity is the pump power, which is proportional to the photon number, and the measurement result is P c exp = 9.5 μ W . Compared with the theoretical prediction P c ( 0 ) = 9.0 μ W [5], the experimental result is about 5.6% higher. This is not a large deviation, but according to the aforementioned analysis, most of the deviation is caused by the inaccurate theoretical prediction. Our result shows that the actual deviation of the critical particle number is only about 1.4%. Consequently, including the next-to-leading contribution of the finite-size effect greatly improves the agreement between experiment and theory.

4 Conclusion and discussion

In this article, we give a more systematic and accurate discussion on the finite-size effect in one-dimensional BEC of photons. By using an analytical continuous method based on the heat kernel expansion, we overcome the divergence difficulty and obtain the next-to-leading order finite-size corrections on thermodynamic quantities. In the experiment of one-dimensional photon BEC [5], the measurement value of the critical particle number is about 5.6% higher than the previous theoretical prediction. However, our result shows that the most part of the deviation arise from the inaccurate analysis of the finite-size effect. When taking into account of the next-to-leading correction, the deviation between experiment and theory reduces to about 1.4%. Moreover, the chemical potential at the low temperature given by our approach is also consistent with the exact solution, while the thermodynamic-limit result is physically unreasonable since it may lead to a too large ground-state particle number.

The magnitude of the finite-size effect is closely related to the spatial dimension of the system. In fact, the most important factor determining the statistical properties is the density of states, and the density of states is strongly affected by the spatial dimension. In some specific systems, the density of states has different behavior in different energy scales, which may significantly affect the critical temperature of BEC [17]. When considering the finite-size effect in a two-dimensional harmonic trap, the leading term of the finite-size correction to the critical temperature is of the order of ln N / N , and the next-to-leading correction has the order of 1 / N [12], which is often negligible. However, in the one-dimensional case, the leading correction is about N / ln N , and our calculation gives the next-to-leading term of the order of 1 / ln N , which is much larger than the two-dimensional case. In the thermodynamic limit, photon BEC cannot occur in one dimension, so the correction caused by the finite-size effect in one-dimensional system must be significant. The same behavior also appears in similar systems, e.g., nonrelativistic particles in one-dimensional harmonic traps or in two-dimensional boxes.

The method used in this article is based on the heat kernel expansion. We know that the heat kernel expansion is a short-wavelength (high-energy) expansion. In principle, it is only applicable to the high-temperature and low-density case. When applying the heat kernel expansion to the problem of phase transition, the divergence problem arises indeed. In this article, however, we show that with the help of the analytical continuation method, the application range of heat kernel expansion can be extended to below the transition point, and the thermodynamic quantities can also be obtained analytically.

  1. Funding information: The authors state no funding involved.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Conflict of interest: Authors state no conflict of interest.

  4. Data availability statement: The data that support the finding of this study are available from the corresponding author upon request.

References

[1] Klaers J, Schmitt J, Vewinger F, Weitz M. Bose-Einstein condensation of photons in an optical microcavity. Nature. 2010;468(7323):545–8. 10.1038/nature09567. Search in Google Scholar PubMed

[2] Schmitt J, Damm T, Dung D, Vewinger F, Klaers J, Weitzet M. Thermalization kinetics of light: From laser dynamics to equilibrium condensation of photons. Phys Rev A. 2015;92(1):011602. 10.1103/PhysRevA.92.011602. Search in Google Scholar

[3] Schmitt J, Damm T, Dung D, Wahl C, Vewinger F, Klaers J, et al. Spontaneous symmetry breaking and phase coherence of a photon Bose-Einstein condensate coupled to a reservoir. Phys Rev Lett. 2016;116(3):033604. 10.1103/PhysRevLett.116.033604. Search in Google Scholar PubMed

[4] Damm T, Schmitt J, Liang Q, Dung D, Vewinger F, Weitz M, et al. Calorimetry of a Bose-Einstein-condensed photon gas. Nat Commun. 2016;7(1):11340. 10.1038/ncomms11340. Search in Google Scholar PubMed PubMed Central

[5] Weill R, Bekker A, Levit B, Fischer B. Bose-einstein condensation of photons in an Erbium-Ytterbium co-doped fiber cavity. Nat Commun. 2019;10(1):747. 10.1038/s41467-019-08527-0. Search in Google Scholar PubMed PubMed Central

[6] Li H, Guo Q, Jiang J, Johnston DC. Thermodynamics of the noninteracting Bose gas in a two-dimensional box. Phys Rev E. 2015;92(6):062109. 10.1103/PhysRevE.92.062109. Search in Google Scholar PubMed

[7] Cheng R, Wang QY, Wang YL, Zong HS. Finite-size effects with boundary conditions on Bose-Einstein condensation. Symmetry. 2021;13(2):300. 10.3390/sym13020300. Search in Google Scholar

[8] Ketterle W, Van Druten NJ. Bose-Einstein condensation of a finite number of particles trapped in one or three dimensions. Phys Rev A. 1996;54(1):656. 10.1103/PhysRevA.54.656 Search in Google Scholar PubMed

[9] Mullin WJ. Bose-Einstein condensation in a harmonic potential. J low temp phys. 1997;106(5):615–41. 10.1007/BF02395928. Search in Google Scholar

[10] Yukalov VI. Theory of cold atoms: Bose-Einstein statistics. Laser Phys. 2016;26(6):062001. 10.1088/1054-660X/26/6/062001. Search in Google Scholar

[11] Xie M. Bose-Einstein condensation temperature of finite systems. J Stat Mech. 2018;2018(5):053109. 10.1088/1742-5468/aabbbd. Search in Google Scholar

[12] Xie M. Bose-Einstein condensation in two-dimensional traps. J Stat Mech. 2019;2019(4):043104. 10.1088/1742-5468/ab11e1. Search in Google Scholar

[13] Kirsten K. Spectral functions in mathematics and physics. Boca Raton: Chapman and Hall/CRC; 2002. 10.1201/9781420035469Search in Google Scholar

[14] Vassilevich DV. Heat kernel expansion: user’s manual. Phys Rep. 2003;388(5–6):279–360. 10.1016/j.physrep.2003.09.002 Search in Google Scholar

[15] Gilkey PB. Asymptotic Formulae in Spectral Geometry. Boca Raton: CRC Press LLC; 2004. 10.1201/9780203490464Search in Google Scholar

[16] Dai WS, Xie M. Quantum statistics of ideal gases in confined space. Phys Lett A. 2003;311(4–5):340–6. 10.1016/S0375-9601(03)00510-3. Search in Google Scholar

[17] Travaglino R, Zaccone A. Analytical theory of enhanced Bose-Einstein condensation in thin films. J Phys B. 2022;55(5):055301. 10.1088/1361-6455/ac5583. Search in Google Scholar

Received: 2022-02-18
Revised: 2022-03-28
Accepted: 2022-03-29
Published Online: 2022-04-28

© 2022 Zhi-Jie Liu and Mi Xie, published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

Articles in the same Issue

  1. Regular Articles
  2. Test influence of screen thickness on double-N six-light-screen sky screen target
  3. Analysis on the speed properties of the shock wave in light curtain
  4. Abundant accurate analytical and semi-analytical solutions of the positive Gardner–Kadomtsev–Petviashvili equation
  5. Measured distribution of cloud chamber tracks from radioactive decay: A new empirical approach to investigating the quantum measurement problem
  6. Nuclear radiation detection based on the convolutional neural network under public surveillance scenarios
  7. Effect of process parameters on density and mechanical behaviour of a selective laser melted 17-4PH stainless steel alloy
  8. Performance evaluation of self-mixing interferometer with the ceramic type piezoelectric accelerometers
  9. Effect of geometry error on the non-Newtonian flow in the ceramic microchannel molded by SLA
  10. Numerical investigation of ozone decomposition by self-excited oscillation cavitation jet
  11. Modeling electrostatic potential in FDSOI MOSFETS: An approach based on homotopy perturbations
  12. Modeling analysis of microenvironment of 3D cell mechanics based on machine vision
  13. Numerical solution for two-dimensional partial differential equations using SM’s method
  14. Multiple velocity composition in the standard synchronization
  15. Electroosmotic flow for Eyring fluid with Navier slip boundary condition under high zeta potential in a parallel microchannel
  16. Soliton solutions of Calogero–Degasperis–Fokas dynamical equation via modified mathematical methods
  17. Performance evaluation of a high-performance offshore cementing wastes accelerating agent
  18. Sapphire irradiation by phosphorus as an approach to improve its optical properties
  19. A physical model for calculating cementing quality based on the XGboost algorithm
  20. Experimental investigation and numerical analysis of stress concentration distribution at the typical slots for stiffeners
  21. An analytical model for solute transport from blood to tissue
  22. Finite-size effects in one-dimensional Bose–Einstein condensation of photons
  23. Drying kinetics of Pleurotus eryngii slices during hot air drying
  24. Computer-aided measurement technology for Cu2ZnSnS4 thin-film solar cell characteristics
  25. QCD phase diagram in a finite volume in the PNJL model
  26. Study on abundant analytical solutions of the new coupled Konno–Oono equation in the magnetic field
  27. Experimental analysis of a laser beam propagating in angular turbulence
  28. Numerical investigation of heat transfer in the nanofluids under the impact of length and radius of carbon nanotubes
  29. Multiple rogue wave solutions of a generalized (3+1)-dimensional variable-coefficient Kadomtsev--Petviashvili equation
  30. Optical properties and thermal stability of the H+-implanted Dy3+/Tm3+-codoped GeS2–Ga2S3–PbI2 chalcohalide glass waveguide
  31. Nonlinear dynamics for different nonautonomous wave structure solutions
  32. Numerical analysis of bioconvection-MHD flow of Williamson nanofluid with gyrotactic microbes and thermal radiation: New iterative method
  33. Modeling extreme value data with an upside down bathtub-shaped failure rate model
  34. Abundant optical soliton structures to the Fokas system arising in monomode optical fibers
  35. Analysis of the partially ionized kerosene oil-based ternary nanofluid flow over a convectively heated rotating surface
  36. Multiple-scale analysis of the parametric-driven sine-Gordon equation with phase shifts
  37. Magnetofluid unsteady electroosmotic flow of Jeffrey fluid at high zeta potential in parallel microchannels
  38. Effect of plasma-activated water on microbial quality and physicochemical properties of fresh beef
  39. The finite element modeling of the impacting process of hard particles on pump components
  40. Analysis of respiratory mechanics models with different kernels
  41. Extended warranty decision model of failure dependence wind turbine system based on cost-effectiveness analysis
  42. Breather wave and double-periodic soliton solutions for a (2+1)-dimensional generalized Hirota–Satsuma–Ito equation
  43. First-principle calculation of electronic structure and optical properties of (P, Ga, P–Ga) doped graphene
  44. Numerical simulation of nanofluid flow between two parallel disks using 3-stage Lobatto III-A formula
  45. Optimization method for detection a flying bullet
  46. Angle error control model of laser profilometer contact measurement
  47. Numerical study on flue gas–liquid flow with side-entering mixing
  48. Travelling waves solutions of the KP equation in weakly dispersive media
  49. Characterization of damage morphology of structural SiO2 film induced by nanosecond pulsed laser
  50. A study of generalized hypergeometric Matrix functions via two-parameter Mittag–Leffler matrix function
  51. Study of the length and influencing factors of air plasma ignition time
  52. Analysis of parametric effects in the wave profile of the variant Boussinesq equation through two analytical approaches
  53. The nonlinear vibration and dispersive wave systems with extended homoclinic breather wave solutions
  54. Generalized notion of integral inequalities of variables
  55. The seasonal variation in the polarization (Ex/Ey) of the characteristic wave in ionosphere plasma
  56. Impact of COVID 19 on the demand for an inventory model under preservation technology and advance payment facility
  57. Approximate solution of linear integral equations by Taylor ordering method: Applied mathematical approach
  58. Exploring the new optical solitons to the time-fractional integrable generalized (2+1)-dimensional nonlinear Schrödinger system via three different methods
  59. Irreversibility analysis in time-dependent Darcy–Forchheimer flow of viscous fluid with diffusion-thermo and thermo-diffusion effects
  60. Double diffusion in a combined cavity occupied by a nanofluid and heterogeneous porous media
  61. NTIM solution of the fractional order parabolic partial differential equations
  62. Jointly Rayleigh lifetime products in the presence of competing risks model
  63. Abundant exact solutions of higher-order dispersion variable coefficient KdV equation
  64. Laser cutting tobacco slice experiment: Effects of cutting power and cutting speed
  65. Performance evaluation of common-aperture visible and long-wave infrared imaging system based on a comprehensive resolution
  66. Diesel engine small-sample transfer learning fault diagnosis algorithm based on STFT time–frequency image and hyperparameter autonomous optimization deep convolutional network improved by PSO–GWO–BPNN surrogate model
  67. Analyses of electrokinetic energy conversion for periodic electromagnetohydrodynamic (EMHD) nanofluid through the rectangular microchannel under the Hall effects
  68. Propagation properties of cosh-Airy beams in an inhomogeneous medium with Gaussian PT-symmetric potentials
  69. Dynamics investigation on a Kadomtsev–Petviashvili equation with variable coefficients
  70. Study on fine characterization and reconstruction modeling of porous media based on spatially-resolved nuclear magnetic resonance technology
  71. Optimal block replacement policy for two-dimensional products considering imperfect maintenance with improved Salp swarm algorithm
  72. A hybrid forecasting model based on the group method of data handling and wavelet decomposition for monthly rivers streamflow data sets
  73. Hybrid pencil beam model based on photon characteristic line algorithm for lung radiotherapy in small fields
  74. Surface waves on a coated incompressible elastic half-space
  75. Radiation dose measurement on bone scintigraphy and planning clinical management
  76. Lie symmetry analysis for generalized short pulse equation
  77. Spectroscopic characteristics and dissociation of nitrogen trifluoride under external electric fields: Theoretical study
  78. Cross electromagnetic nanofluid flow examination with infinite shear rate viscosity and melting heat through Skan-Falkner wedge
  79. Convection heat–mass transfer of generalized Maxwell fluid with radiation effect, exponential heating, and chemical reaction using fractional Caputo–Fabrizio derivatives
  80. Weak nonlinear analysis of nanofluid convection with g-jitter using the Ginzburg--Landau model
  81. Strip waveguides in Yb3+-doped silicate glass formed by combination of He+ ion implantation and precise ultrashort pulse laser ablation
  82. Best selected forecasting models for COVID-19 pandemic
  83. Research on attenuation motion test at oblique incidence based on double-N six-light-screen system
  84. Review Articles
  85. Progress in epitaxial growth of stanene
  86. Review and validation of photovoltaic solar simulation tools/software based on case study
  87. Brief Report
  88. The Debye–Scherrer technique – rapid detection for applications
  89. Rapid Communication
  90. Radial oscillations of an electron in a Coulomb attracting field
  91. Special Issue on Novel Numerical and Analytical Techniques for Fractional Nonlinear Schrodinger Type - Part II
  92. The exact solutions of the stochastic fractional-space Allen–Cahn equation
  93. Propagation of some new traveling wave patterns of the double dispersive equation
  94. A new modified technique to study the dynamics of fractional hyperbolic-telegraph equations
  95. An orthotropic thermo-viscoelastic infinite medium with a cylindrical cavity of temperature dependent properties via MGT thermoelasticity
  96. Modeling of hepatitis B epidemic model with fractional operator
  97. Special Issue on Transport phenomena and thermal analysis in micro/nano-scale structure surfaces - Part III
  98. Investigation of effective thermal conductivity of SiC foam ceramics with various pore densities
  99. Nonlocal magneto-thermoelastic infinite half-space due to a periodically varying heat flow under Caputo–Fabrizio fractional derivative heat equation
  100. The flow and heat transfer characteristics of DPF porous media with different structures based on LBM
  101. Homotopy analysis method with application to thin-film flow of couple stress fluid through a vertical cylinder
  102. Special Issue on Advanced Topics on the Modelling and Assessment of Complicated Physical Phenomena - Part II
  103. Asymptotic analysis of hepatitis B epidemic model using Caputo Fabrizio fractional operator
  104. Influence of chemical reaction on MHD Newtonian fluid flow on vertical plate in porous medium in conjunction with thermal radiation
  105. Structure of analytical ion-acoustic solitary wave solutions for the dynamical system of nonlinear wave propagation
  106. Evaluation of ESBL resistance dynamics in Escherichia coli isolates by mathematical modeling
  107. On theoretical analysis of nonlinear fractional order partial Benney equations under nonsingular kernel
  108. The solutions of nonlinear fractional partial differential equations by using a novel technique
  109. Modelling and graphing the Wi-Fi wave field using the shape function
  110. Generalized invexity and duality in multiobjective variational problems involving non-singular fractional derivative
  111. Impact of the convergent geometric profile on boundary layer separation in the supersonic over-expanded nozzle
  112. Variable stepsize construction of a two-step optimized hybrid block method with relative stability
  113. Thermal transport with nanoparticles of fractional Oldroyd-B fluid under the effects of magnetic field, radiations, and viscous dissipation: Entropy generation; via finite difference method
  114. Special Issue on Advanced Energy Materials - Part I
  115. Voltage regulation and power-saving method of asynchronous motor based on fuzzy control theory
  116. The structure design of mobile charging piles
  117. Analysis and modeling of pitaya slices in a heat pump drying system
  118. Design of pulse laser high-precision ranging algorithm under low signal-to-noise ratio
  119. Special Issue on Geological Modeling and Geospatial Data Analysis
  120. Determination of luminescent characteristics of organometallic complex in land and coal mining
  121. InSAR terrain mapping error sources based on satellite interferometry
Downloaded on 15.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/phys-2022-0031/html
Scroll to top button