Skip to main content
BMC Chemistry logoLink to BMC Chemistry
. 2020 Aug 9;14(1):47. doi: 10.1186/s13065-020-00702-5

Formula of compressibility and using it for air, noble gases, some hydrocarbons gases, some diatomic simple gases and some other fluids

Marwan Al-Raeei 1,, Moustafa Sayem El-Daher 2,3
PMCID: PMC7416418  PMID: 32789299

Abstract

Based on solutions of the Ornstein–Zernike equation (OZE) of Lennard–Jones potential for mean spherical approximation (MSA), we derive analytical formula for the compressibility assuming that the system is of low density, homogeneous, isotropic and composed of one component. Depending on this formula, we find the values of the bulk modulus and the compressibility of air at room temperature and the bulk modulus and the compressibility of Methane, Ethylene, Propylene and Propane at nine per ten of critical temperature of each hydrocarbon. Also, we find the speed of sound in the air at various temperatures, the speed of sound in each of Helium, Neon, Argon, Krypton, Xenon, Methane, Ethylene, Propylene, Propane, Hydrogen, Nitrogen, Fluorine, Chlorine, Oxygen, Nitrous oxide (laughing gas), Carbon dioxide, Nitric oxide, Carbon monoxide, Sulphur dioxide and dichlorodifluoromethane at room temperature. Besides, we find the speed of sound in Methane, Ethylene, Propylene and Propane at nine per ten of critical temperature of each hydrocarbons depending on the formula we find. We show that the simple formula we derive in this work is reliable and agrees with the results obtained from other studies and literatures. We believe it can be used for many systems which are in low densities and described by Lennard–Jones potential.

Keywords: Compressibility, Lenard–Jones potential, Bulk modulus, One component fluid, Bulk modulus, Static structure factor, Ornstein–zernike equation and radial distribution function, Speed of sound, Critical temperature, Simple fluid

Background

The compressibility is one of the most important properties in thermodynamic of materials, and we can get it from experimental methods or from some theoretical methods. In this work we find analytical formula of the compressibility from the Ornstein–Zernike equation which is one of the basic equations used to study the physical properties of fluids because this equation enables us to find the physical properties of materials by theoretical ways. For one component system, the Ornstein–Zernike equation in the homogeneous formalism is given as follows [17]:

h(r)=c(r)+ρdrc(r-r)h(r) 1

where c(r) is the direct correlation function, h(r) is the total correlation function, ρ is particle’s density and r is the position and the integral is over the volume of position of the particles. The Ornstein–Zernike equation is considered a very important equation in the statistical mechanics and materials sciences, especially, in the static formalism because by solving this equation we find the radial distribution function (RDF) of a specific system which enables us to find a lot of properties of the material by applying the integration of a certain property on this function. We can find a solution for the Ornstein–Zernike equation using a suitable interaction potential of the system, however, we need another equation between pair potential and the total correlation function or the direct correlation function which we get it from a number of possible approximations of the direct correlation function which are used in the theory of simple liquids or simple fluids such as Born Green Yvon approximation (BGYA), Hyper Netted Chain approximation (HNCA), Percus Yevick approximation (PYA) and mean spherical approximation (MSA). All of these approximations give closed relations between the direct correlation function and the interaction potential of the system either in a linear form or in a nonlinear form [825]. In this work, we use the mean spherical approximation to find the solutions of the Ornstein–Zernike equation where this approximation relates the direct correlation function and the interaction potential via a linear formula. The direct correlation function based on the mean spherical approximation is given as follows [2, 47]:

c(r)-U(r)/(kBT);r>d 2

where kB is Boltzmann constant, T is absolute temperature and d is the diameter of particles while U(r) is the interaction potential between the particles of the system. The interaction potential which we used in this work is Lenard–Jones potential, which is very important as a fitting potential and a structure potential in a lot of studies such as soft materials and simple fluids [3, 824] and this potential is given by the following formula:

ULJ(r)=4ε(σr)12-(σr)6=ε(rmr)12-2(rmr)6 3

where ε represents the depth of Lenard–Jones potential or its minimum value and rm is the distance at which Lenard–Jones potential equals its minimum value which is called the minimum distance of Lenard–Jones potential while σ is the distance at which Lenard–Jones potential equals zero.

Methods

We find a formula for the compressibility of one component fluid from the solutions of the Ornstein–Zernike equation for Lenard–Jones potential using mean spherical approximation for the direct correlation function. We obtain the radial distribution function of the system and from this function we get the compressibility of the system which is related to the radial distribution function via the following formula [1, 7, 11]:

χTχTid=1+ρg(r)dr-ρdr 4

where β = 1/(kBT), χTid is the compressibility of ideal gas and g(r) is the radial distribution function of the system. So, If we use the solutions of the Ornstein–Zernike equation of Lenard-Johns potential from mean spherical approximation in the previous equation and if we use the integral of the position instead of the integral of the volume in the homogeneous and isotropic case, we find that the compressibility of the system is given by the following integral equation:

χT=χTid-C10dr2dr-C2d[α2dr1012-αdr46]dr 5

where C1, C2 are coefficients and α is defined as follows:

α=(1+1+1/βε)/2 6

By integrating the equation of the compressibility over the position, we find the following formula of the compressibility:

χT=1-43πρ1-αβU0+α23βU0d3χTid;U0=4ε 7

Results and discussion

The previous equation represents the basic thing of this study which is the formula of the compressibility. We see that the formula of the compressibility that we found (Eq. 7) contains the Lennard–Jones potential parameters, the diameter of particles in the system, the temperature and the density of the system’s particles. We can use the formula in a wide variety of materials interacting with each other via Lennard–Jones potential such as light polymers and some simple fluids systems such as atomic Argon. In this work, we use this formula to calculate the compressibility and the bulk modulus for some hydrocarbons and air. Besides and based on the formula, we calculate the speed of sound in some atomic fluids such as Argon, some hydrocarbons, diatomic fluid such as Oxygen and some other gases such as dichlorodifluoromethane. We calculated the compressibility and the bulk modulus of air from this study, i.e. Eq. 7, at 298.16 K° and we inserted the results in Table 1 with the value of bulk modulus of air found in some literatures in addition to the Lenard–Jones potential’s parameters of air.

Table 1.

The compressibility and the bulk modulus of air Β from Eq. 7 and the bulk modulus of air from the literatures Β* at 25 °C

σ(A) ε×102(ev) T(K) χT(MPa-1) B(MPa) B(MPa)
3.6170 1.033 298.16 9.7929 0.1021 0.1010

As we see from Table 1, the result resulted from this work and the result found in the literatures for the bulk modulus of air are close to each other at the previous temperature.

In addition to that, we calculated the compressibility of air from the formula we derived in this work at different temperatures and we inserted the results of this calculation in Table 2. With the bulk modulus of air at the same temperatures. As we see from Table 2, the bulk modulus of air increases when temperature increases which agree well with literatures.

Table 2.

The compressibility of air and the bulk modulus of air based on Eq. 7 at different temperatures in the gaseous phase

t(C) ρm(mg/cc) χT(MPa-1) B×10(MPa) t(C) ρm(mg/cc) χT(MPa-1) B×10(MPa)
−25 1.4224 9.8726 1.0129 5 1.2844 9.7480 1.0259
−24 1.4178 9.8647 1.0137 6 1.2798 9.7478 1.0259
−23 1.4132 9.8570 1.0145 7 1.2752 9.7479 1.0259
−22 1.4086 9.8495 1.0153 8 1.2706 9.7483 1.0258
−21 1.4040 9.8424 1.0160 9 1.2660 9.7488 1.0258
−20 1.3994 9.8355 1.0167 10 1.2614 9.7497 1.0257
−19 1.3948 9.8289 1.0174 11 1.2568 9.7508 1.0256
−18 1.3902 9.8225 1.0181 12 1.2522 9.7521 1.0254
−17 1.3856 9.8164 1.0187 13 1.2476 9.7537 1.0252
−16 1.3810 9.8106 1.0193 14 1.2430 9.7556 1.0251
−15 1.3764 9.8050 1.0199 15 1.2384 9.7577 1.0248
−14 1.3718 9.7997 1.0204 16 1.2338 9.7601 1.0246
−13 1.3672 9.7947 1.0210 17 1.2292 9.7627 1.0243
−12 1.3626 9.7899 1.0215 18 1.2246 9.7656 1.0240
−11 1.3580 9.7854 1.0219 19 1.2200 9.7687 1.0237
−10 1.3534 9.7811 1.0224 20 1.2154 9.7721 1.0233
−9 1.3488 9.7771 1.0228 21 1.2108 9.7757 1.0229
−8 1.3442 9.7734 1.0232 22 1.2062 9.7796 1.0225
−7 1.3396 9.7699 1.0236 23 1.2016 9.7838 1.0221
−6 1.3350 9.7667 1.0239 24 1.1970 9.7882 1.0216
−5 1.3304 9.7637 1.0242 25 1.1924 9.7929 1.0211
−4 1.3258 9.7610 1.0245 26 1.1878 9.7978 1.0206
−3 1.3212 9.7585 1.0247 27 1.1832 9.8030 1.0201
−2 1.3166 9.7563 1.0250 28 1.1786 9.8085 1.0195
−1 1.3120 9.7544 1.0252 29 1.1740 9.8142 1.0189
0 1.3074 9.7527 1.0254 30 1.1694 9.8202 1.0183
1 1.3028 9.7512 1.0255 31 1.1648 9.8265 1.0177
2 1.2982 9.7501 1.0256 32 1.1602 9.8330 1.0170
3 1.2936 9.7491 1.0257 33 1.1556 9.8398 1.0163
4 1.2890 9.7484 1.0258 34 1.1510 9.8468 1.0156

Also, We calculated the speeds of sound in some inert gases (Helium, Neon, Argon, Krypton and Xenon) based on the formula which we found and the results were illustrated in Table 3 with the densities, the molar masses and Lenard–Jones potential parameters of the noble gases.

Table 3.

The speeds of sound in noble gases at t = 25 °C from this work based on Eq. 7

Substance He Ne Ar Kr Xe
ρm(mg/cc) 0.1786 0.9002 1.7840 3.7490 5.8940
σ(A) 2.576 2.789 3.432 3.675 4.009
ε/kB(K) 10.2 35.7 122.4 170.0 234.7
M(g/mol) 4.0026 20.1797 39.7920 83.7980 131.2930
v(m/s) 787.4806 350.7260 249.5060 171.7220 136.8410

As we see from Table 3, the values of the speed of sound of the noble atomic gases which we calculated from this study based on the simple formula that we found have the same order with other references [2630] for the gaseous Helium, references [26, 30] for the gaseous Neon, references [2628, 30] for the gaseous Argon and references [28, 30] for the gaseous Krypton and the gaseous Xenon. We see that the smallest value of the speed of sound is for Xenon and the biggest value is for Helium which also agrees with literatures.

Also, We calculated the speeds of sound in some hydrocarbons (Methane, Ethylene, Propylene and Propane) from this work, based on Eq. 7, because these hydrocarbons interact through Lenard–Jones potential like in [31], the results were inserted in Table 4 with the densities, the molar masses and Lenard–Jones potential’s parameters of the used hydrocarbon materials. We used the previous hydrocarbons in the calculations of the compressibility and the bulk modulus as an example of other hydrocarbons and because the parameters of the interaction potential are known for these hydrocarbons and we can compare the bulk modules values of these hydrocarbons with other studies.

Table 4.

The speeds of sound in Methane, Ethylene, Propylene and Propane at t = 25 °C from this work based on Eq. 7

Hydrocarbon CH4 C2H4 C3H6 C3H8
ρm(mg/cc) 0.657 1.18 1.81 2.01
σ(A) 3.780 4.228 4.766 4.934
ε/kB(K) 1.31 1.84 2.34 2.33
M(g/mol) 16.04 28.05 42.08 44.10
v(m/s) 392.6560 296.1230 240.6070 234.6880

We see from Table 4 that the speed of sound agrees well with other references, references [2628, 30] for the gaseous Methane and the gaseous Ethylene, reference [30] for the gaseous Propylene, references [28, 30] for the gaseous Propane at 25 °C. In addition, we calculated the compressibility of the same hydrocarbons at temperatures equal to 0.9 of the critical temperature TC and pressures about 0.5 of critical pressure PC of each hydrocarbon from this study, i.e. Equation 7, and we inserted the results in the Table 5 which also, contains Lenard–Jones potential’s parameters of these hydrocarbon materials in addition to the molar mass of the hydrocarbons. For comparison our results with other results, we calculated the bulk modulus at the previous temperatures for these hydrocarbons and we inserted the results with the results for the bulk modulus of these hydrocarbons at the previous conditions from reference [32] in Table 6 which also contains the compressibility from our calculations.

Table 5.

The compressibility of some hydrocarbons from Eq. 7 at 0.9 TC of each hydrocarbon

Hydrocarbon σ(A) ε×102(eV) M(g/mol) χT(atm-1)
CH4 3.780 1.31 16.04 0.0425
C2H4 4.228 1.84 28.05 0.0450
C3H6 4.766 2.34 42.08 0.0794
C3H8 4.934 2.33 44.10 0.0340

Table 6.

The bulk modulus of the some hydrocarbons from our work and from reference [32] at 0.9 TC of each hydrocarbon

Hydrocarbon χT(atm-1) BThisWork(atm) B[32](atm)[32]
CH4 0.0425 23.5294 29.615
C2H4 0.0450 22.2222
C3H6 0.0794 12.5945
C3H8 0.0340 29.4118 39.487

We calculated the speeds of sound in the same hydrocarbons at the same conditions from this study and the results were inserted in Table 7 with comparisons from reference [30] for the speeds of sound in the same hydrocarbons.

Table 7.

The speeds of sound in the last hydrocarbons from our work and from reference [30] at the same previous conditions

Hydrocarbon χT(atm-1) vThisWork(m/s) v[30](m/s)
CH4 0.0425 244.2184 277.62
C2H4 0.0450 234.7020 257.79
C3H6 0.0794 232.9465 239.00
C3H8 0.0340 192.8914 194.37

As we note from the comparisons between the values of the bulk modulus of Methane and the bulk modulus of Propane which we calculated from this study with the values of the bulk modulus of Methane and the bulk modulus of Propane resulted from reference [32] at the same conditions in Table 6, the values are of the same order and close to each other.

Also, we see the same thing from the comparisons between the values of the speed of sound in the four hydrocarbons calculated from this study and within reference [30] in Table 7 at the same conditions. After that, we calculated the values of the speed of sound in some simple diatoms gases, namely, Hydrogen, Nitrogen, Fluorine, Chlorine and Oxygen from this study, i.e. Eq. 7, and we inserted the results in Table 8. The densities, the molar masses and Lenard–Jones potential parameters of the considered diatomic simple gaseous materials were inserted in the same table.

Table 8.

The speeds of sound in Hydrogen, Nitrogen, Fluorine, Chlorine and Oxygen at t = 25 °C from this study based on Eq. 7 and from references [2628, 30]

Substance H2 N2 F2 Cl2 O2
ρm(mg/cc) 0.0823 1.1452 1.5537 3.2000 1.3087
σ(A) 2.915 3.667 3.653 4.115 3.433
ε/kB(K) 38.0 99.8 112.0 357.0 113.0
M(g/mol) 2.0159 28.0134 37.9968 70.9060 31.9988
v(m/s) 1109.7000 297.4974 255.3772 185.3550 278.2920

As we see from Table 8, the values of speed of sound in the previous diatomic simple gases which calculated from this study and the values in other studies, references [2628, 30] for the gaseous Hydrogen and the gaseous Oxygen, references [26, 27, 30] for the gaseous Nitrogen, reference [30] for the gaseous Fluorine and references [26, 27] for the gaseous Chlorine, have the same order. Besides, we see that the biggest value of the speed of sound is for the Hydrogen and the smallest value is for the Chlorine. Finally, we calculated the values of the speed of sound in some gaseous oxides (Nitrous oxide, Carbon dioxide, Nitric oxide, Carbon monoxide and Sulphur dioxide) in addition to the speed of sound in dichlorodifluoromethane. We inserted the results for the previous gases in Table 9. The densities, the molar masses and Lenard–Jones potential parameters of these gaseous materials were inserted in the same table.

Table 9.

The speeds of sound in Nitrous oxide, Carbon dioxide, Nitric oxide, Carbon monoxide, Sulphur dioxide and Dichlorodifluoromethane at t = 25 °C from this work based on Eq. 7

Substance N2O CO2 NO CO SO2 CCl2F2
ρm(mg/cc) 1.8088 1.8079 1.3402 1.1453 2.6642 2.0383
σ(A) 3.879 3.996 3.470 3.590 4.026 5.116
ε/kB(K) 220.0 190.0 119.0 110.0 363.0 280.0
M(g/mol) 44.0128 44.0095 30.0061 28.0101 64.0640 120.9140
v(m/s) 236.6072 236.7511 287.3415 297.4551 195.2006 142.5648

We see that the values of the speed of sound in the previous gases (Table 9) agree with the results from references [26, 28] for the gaseous Nitrous oxide and the gaseous Carbon monoxide, references [26, 28, 30] for the gaseous Carbon dioxide and the gaseous Sulphur dioxide, reference [26] for the gaseous Nitric oxide and reference [30] for the gaseous dichlorodifluoromethane.

Conclusion

In this work, we derived analytical formula for the compressibility for homogenous and isotropic system composed of one component at low density assuming that the particles in the system interact each other via Lenard-Jones potential which contains two parts, the first part is repulsive and the other is attractive. The compressibility can be found from some experimental methods such as [33] and some theoretical methods such as virial expansion [34, 35]. In this work, we found a formula of the compressibility as a function of particle’s density, Lenard–Jones potential parameters and the temperature based on solutions of the Ornstein–Zernike equation for mean spherical approximation.

The formula we derived was employed to find the compressibility and the bulk modulus values of air at 25 °C (Tables 1 and 2) and of some hydrocarbons at defined temperatures of each hydrocarbon (Tables 5 and 6), the results of the bulk modulus and the compressibility found from this study agree qualitatively with the literature for air and other reference [32] for hydrocarbons. Besides, the speeds of sound in some hydrocarbons at defined temperatures of each hydrocarbon (Tables 4 and 7) and the speeds of sound in Helium, Neon, Argon, Krypton, Xenon, Hydrogen, Nitrogen, Oxygen, Chlorine, Fluorine, Methane, Ethylene, Propylene, Propane, Carbon monoxide, Carbon dioxide, Sulfur dioxide, Laughing gas, Nitric oxide and dichlorodifluoromethane (Tables 3, 8 and 9). We found that our results agree qualitatively with other studies.

The formula that we derived for the compressibility (Eq. 7) is simple and it can be applied for many fluids that interact via Lenard–Jones potential, only, we need the Lenard-Jones potential parameters and the density of particles in the system at a certain temperature.

Acknowledgments

Not applicable.

Abbreviations

OZE

Ornstein–Zernike Equation

MSA

Mean Spherical Approximation

BGYA

Born Green Yvon Approximation

HNCA

Hyper Netted Chain Approximation

RDF

Radial Distribution Function

PYA

Percus Yevick Approximation

Authors' contributions

MAR contributed to the derivation of the method and calculations of the results and discussion. MSED contributed to the writing of conclusions and references. All authors read and aproved the final manuscript.

Funding

Not applicable.

Availability of data and materials

We declared that the materials in the paper will be available for non-commercial purposes and the corresponding author, M Al-Raeei, must be contacted for requesting the data.

Competing interests

The authors confirmed that they do not have a conflict of interest.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Osiele OM. Calculation of the structure factor of liquid metals. Niger J Phys. 2006;25:32. doi: 10.4314/njphy.v18i1.38078. [DOI] [Google Scholar]
  • 2.Bandyopadhyay P, Gupta-Bhaya P. A comparative evaluation of pair correlation functions for a highly asymmetric electrolyte with mono and divalent counterions from integral equation theory in hypernetted chain (HNC) approximation and Monte Carlo simulation. Chem Phys Lett. 2019;732:136664. doi: 10.1016/j.cplett.2019.136664. [DOI] [Google Scholar]
  • 3.Al-Raeei M, El-Daher MS. Temperature dependence of the specific volume of Lennard-Jones potential and applying in case of polymers and other materials. Polym Bull. 2020 doi: 10.1007/s00289-020-03166-08. [DOI] [Google Scholar]
  • 4.Nägele G. The physics of colloidal soft matter. Warsaw: Centre of Excellence for Advanced Materials and Structures; 2004. [Google Scholar]
  • 5.Al-Raeei M, El-Daher MS. Analytical static structure factor for a two-component system interacting via van der Waals potential. Pramana J Phys. 2018;90:60. doi: 10.1007/s12043-018-1550-0. [DOI] [Google Scholar]
  • 6.Waisman E, et al. Ornstein-Zernike equation for a two-Yukawa c(r) Chem Phys Lett. 1973;40:514–516. doi: 10.1016/0009-2614(76)85132-9. [DOI] [Google Scholar]
  • 7.Al-Raeei M (2018) Using methods of statistical mechanics in the study of soft condensed matter materials and complex structures. Damascus University Publishing Syrian Arab Republic, Damascus, Master thesis
  • 8.Zarezadeh Z, Costantini G. Lorentz excitable lattice gas automata (LELGA) for optimization of Lennard–Jones atomic cluster size up to N ≤ 383. Chem Phys Lett. 2019;727:45–49. doi: 10.1016/j.cplett.2019.04.046. [DOI] [Google Scholar]
  • 9.Al-Raeei M, El-Daher MS. A numerical method for fractional Schrödinger equation of Lennard–Jones potential. Phys Lett A. 2019;383:125831. doi: 10.1016/j.physleta.2019.07.019. [DOI] [Google Scholar]
  • 10.Demirel Y. Nonequilibrium thermodynamics: transport and rate processes in physical, chemical and biological systems. Amsterdam: Elsevier; 2014. [Google Scholar]
  • 11.Vargas P, et al. Second virial coffcient for the Lennard-Jones potential. Phys A. 2001;290:92–100. doi: 10.1016/S0378-4371(00)00362-9. [DOI] [Google Scholar]
  • 12.Yadav CP, Pandey DK. Pressure- and orientation-dependent elastic and ultrasonic characterisation of quartzite boron nitride. Pramana J Phys. 2019;92:5. doi: 10.1007/s12043-018-1666-2. [DOI] [Google Scholar]
  • 13.Handrey C, Ferraz F. Influence of the long-range forces in non-Gaussian random-packing dynamics. Phys Lett A. 2019;38:125884. doi: 10.1016/j.physleta.2019.125884. [DOI] [Google Scholar]
  • 14.Wang Y, Wang C, Tan H. Intrinsic edge warping of graphene nanoribbon boost molecular directional motion: toward the novel nanodevices. Phys Lett A. 2019;383:1473–1477. doi: 10.1016/j.physleta.2019.01.054. [DOI] [Google Scholar]
  • 15.Goujon F, Ghoufi A, Malfreyt P. Size-effects on the surface tension near the critical point: Monte Carlo simulations of the Lennard–Jones fluid. Chem Phys Lett. 2018;694:60–64. doi: 10.1016/j.cplett.2018.01.046. [DOI] [Google Scholar]
  • 16.Zhou S, Solana JR. Thermodynamic properties of fluids with Lennard–Jones–Gauss potential from computer simulation and the coupling parameter series expansion. Mol Phys. 2017;116:491. doi: 10.1080/00268976.2017.1406162. [DOI] [Google Scholar]
  • 17.Al-Raeei M, El-Daher MS. Analytical formula of heat capacity in soft matter materials using Lennard–Jones potential. Chem Phys Lett. 2019;734:136729. doi: 10.1016/j.cplett.2019.136729. [DOI] [Google Scholar]
  • 18.Miyata T, Tange K. Performance of Kobryn–Gusarov–Kovalenko closure from a thermodynamic viewpoint for one-component Lennard–Jones fluids. Chem Phys Lett. 2018;700:88–95. doi: 10.1016/j.cplett.2018.04.013. [DOI] [Google Scholar]
  • 19.Al-Raeei M, El-Daher MS. An algorithm for fractional Schrödinger equation in case of Morse potential. AIP Adv. 2020;10:035305. doi: 10.1063/1.5113593. [DOI] [Google Scholar]
  • 20.Al-Raeei M, El-Daher MS. On: new optical soliton solutions for nonlinear complex fractional Schrödinger equation via new auxiliary equation method and novel (G′/G)-expansion method. Pramana J Phys. 2019;94:9. doi: 10.1007/s12043-019-1877-1. [DOI] [Google Scholar]
  • 21.Ushcats S, et al. Asymptotics of activity series at the divergence point. Pramana J Phys. 2018;91:31. doi: 10.1007/s12043-018-1604-3. [DOI] [Google Scholar]
  • 22.Jones JE. On the determination of molecular fields. II. From the equation of state of a gas. Proc R Soc Lond A. 1924;106:463–477. doi: 10.1098/rspa.1924.0082. [DOI] [Google Scholar]
  • 23.Tarabichi S, et al. Physics for the prearatory year of medical colleges. Syrian Arab Republic: Ministry of Higher Education Publishing; 2016. [Google Scholar]
  • 24.Al-Raeei M, El-Daher MS. Numerical simulation of the space dependent fractional Schrödinger equation for London dispersion potential type. Heliyon. 2020;6:e04495. doi: 10.1016/j.heliyon.2020.e04495. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Al-Raeei M. The forecasting of COVID-19 with mortality using SIRD epidemic model for the United States, Russia, China, and the Syrian Arab Republic. AIP Adv. 2020;10:065325. doi: 10.1063/5.0014275. [DOI] [Google Scholar]
  • 26.Lide DR. CRC handbook of chemistry and physics. Boca Raton: CRC Press; 2003. [Google Scholar]
  • 27.Samsonov G. Handbook of the physicochemical properties of the elements. New York: IFI-Plenum; 1968. [Google Scholar]
  • 28.Zuckerwar AJ. Handbook of the speed of sound in real gases. San Diego: Academic Press; 2002. [Google Scholar]
  • 29.Gand SW, et al. The velocity of sound in helium at temperatures −78 °C to 200 °C and pressures up to 70 atmospheres. Can J Res. 2011;28a(5):509–519. [Google Scholar]
  • 30.National Institute of Standard and Technology. https://www.nist.gov/. Accessed 10 May 2020
  • 31.Olanipekun AB. Shear properties of liquid methane. Int J Math Phys Sci Res. 2017;5:129–135. [Google Scholar]
  • 32.Ghazi PK. Discrimination of fizz water and gas reservoir by AVO analysis: a modified approach. Acta Geod Geophys. 2013;48:347–361. doi: 10.1007/s40328-013-0023-7. [DOI] [Google Scholar]
  • 33.Mot PH, et al. The bulk modulus and Poisson’s ratio of ‘‘incompressible’’ materials. J Sound Vib. 2008;312:572–575. doi: 10.1016/j.jsv.2008.01.026. [DOI] [Google Scholar]
  • 34.Bavaud F, et al. Statistical mechanics of elastic moduli. J Stat Phys. 1986;42:621–646. doi: 10.1007/BF01127732. [DOI] [Google Scholar]
  • 35.Vargas P, et al. Second virial coffcient for the Lennard–Jones potential. Phys A. 2001;290:92–100. doi: 10.1016/S0378-4371(00)00362-9. [DOI] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

We declared that the materials in the paper will be available for non-commercial purposes and the corresponding author, M Al-Raeei, must be contacted for requesting the data.


Articles from BMC Chemistry are provided here courtesy of BMC

RESOURCES