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ABUNDANCE ESTIMATION IN AN ARID ENVIRONMENT
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Original article
32 (
1
); 1147-1151
doi:
10.1016/j.jksus.2019.11.005

The effect of the parameter α of Morse potential on cohesive energy

Department of Physics and Astronomy, College of Science, King Saud University, PO Box 2455, Riyadh 11451, Saudi Arabia

⁎Corresponding author. omar@ksu.edu.sa (Omar M. Aldossary)

Disclaimer:
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.

Peer review under responsibility of King Saud University.

Abstract

The impact of nanoparticles size on the cohesive energy was investigated by Morse potential for different metallic cubic structures. The cohesive energy of nanoparticles decreases with reducing its size, which is agree with corresponding the experimental values of the cohesive energy for Mo and W nanoparticle. It is found that if the parameter α of Morse potential increases then the range of the interatomic potential decreases.

Keywords

Cohesive energy
Morse Potential
Size-dependence of nanoparticles
Physical properties of nanoparticles
1

1 Introduction

The size dependence of physical properties of nanoparticles such as thermal Debye temperature (Sadaiyandi, 2009), elastic strength (Bian et al., 2014), Young modulus (Price et al., 2006), and melting point (Schlexer et al., 2019) is one of important subject. A drastical change was found in the physical properties when the dimensions of the material reduced to nano size. The most important quantity to investigate the physical properties of nanoparticles is cohesive energy. Cohesive energy is the energy required to partition the solid material into disconnected particles by breaking all its bonds, which can be used to derive most of the thermodynamical properties of materials (Qi et al., 2005).

Many potential functions were used to investigate the size dependence of cohesive energy such as Lennard-Jones (or LJ (12-6)) potential (Qi and Wang, 2004) and Mie-type potential (Barakat et al., 2007). Moreover, a hypothetical model about the effect nanoparticle size on the cohesive energy has been studied by Qi, 2005.

The experimental values of the cohesive energy for Molybdenum (Mo) and Tungsten (W) were reported respectively as follow −410 kJ/mol (with size 2000 atoms) and −619 kJ/mol (with size 7000 atoms) (Kim et al., 2002). However, the bulk cohesive energy of Mo is −598 kJ/mol and W is −824 kJ/mol (Edgar, 1993). The observed values of the cohesive energy show that the decreasing of nanoparticles size leads to decreasing the cohesive energy of nanoparticles.

The structure of this paper is as follows: theory and model of the calculation of cohesive energy for nanoparticles using Morse potential in Section 2. The numerical results discussions will be presented in Section 3.

2

2 Theory and model

In current model, it is affirmed that the nanoparticle has initially cubic structure: simple cubic (SC), body-centered cubic (BCC) or face-centered cubic (FCC). The atoms within the nanoparticle are all in equilibrium and the two atoms i and j separated by a distance r ij in nanoparticle are interacting with each other via Morse potential function (Morse, 1929).

(1)
U ij r ij = D e - 2 α r ij r 0 - 1 - 2 e - α r ij r 0 - 1 , where D is the depth of the potential at the equilibrium distance between the atoms. The parameter α = a r 0 ( a is the Morse potential parameter) depends on type and structure of the metal (Girifalco and Weizer, 1959). Girifalco and Weizer, 1959 calculated the parameter α for different cubic metals, for example, the values of α for Molybdenum (Mo) and Tungsten (W) are equal to 2.368 and 2.225 respectively. Lim also obtained the relationship between the α parameter in Morse potential and the n parameter (with m = 2 n ) in Lennard-Jones potential (Lim, 2003, 2007). The effect of α parameter in Morse potential is shown in Fig. 1, where decreasing of α parameter soften the repulsive wall and enlarge the potential range.
Morse potential curves for different values of α : α = 3 is represented by the solid black line, α = 4 is represented by the dashed blue line, and α = 5 is represented by the dotted red line.
Fig. 1
Morse potential curves for different values of α : α = 3 is represented by the solid black line, α = 4 is represented by the dashed blue line, and α = 5 is represented by the dotted red line.

The cohesive energy of nanoparticles equal to the total energy of all n atoms in the nanoparticles is given by

(2)
E n = 1 2 i = 1 n j = 1 i j n U ij r ij .

Inserting Eq. (1) into Eq. (2);

(3)
E n = nD 2 A 2 r - 2 A 1 r where
(4a)
A 1 r = 1 n i = 1 n j = 1 i j n e - α a ij r - 1 ,
(4b)
A 2 r = 1 n i = 1 n j = 1 i j n e - 2 α a ij r - 1 ,

a ij = r ij / r ( r is the nearest distance between two atoms), and r = r / r 0 is reduces nearest distance between two atoms. The terms A 1 r and A 2 r are represented to the long-range and short-range terms respectively (Lim, 2007).

The cohesive energy of the nanoparticle with n atoms in equilibrium configuration should be obtained by minimizing the entire energy of the nanoparticle regarding to the reduced space between nearest two atoms r as follows

(5)
d E n d r r = r 0 = - α n D i = 1 n j = 1 i j n a ij e - 2 α a ij r 0 - 1 - e - α a ij r 0 - 1 = 0 , where r 0 is the equilibrium reduced nearest distance between two atoms in the nanoparticle, which can be obtained by solving the Eq. (5) numerically using Newton-Raphson Method.

The cohesive energy that given by Eq. (3) is for n atoms. However, the cohesive energy per atom in equilibrium configuration is

(6)
E a = D 2 A 2 r 0 - 2 A 1 r 0 .

The relative cohesive energy (which is free from the parameter D ) of the nanoparticle is the proportion of cohesive energy for n atoms to the corresponding cohesive energy of bulk material E 0 is

(7)
E a E 0 = P 0 2 A 2 r 0 - 2 A 1 r 0 , where P 0 = 2 / A ' 2 r 0 - 2 A ' 1 r 0 , A ' 1 r 0 and A ' 2 r 0 are the corresponding long range and short range terms of bulk material. The effect of the α parameter for different cubic metal structures on A ' 1 r 0 and A ' 2 r 0 are shown in Figs. 2 and 3 respectively. The values of A ' 1 r 0 and A ' 2 r 0 go to infinity when α < 3 for different cubic metal structures which is not physically accepted. Thus, the considered values of the α parameter in present article are α 3 .
The effect of α parameter in the long range term A ' 1 r 0 ∗ for different structures: simple cubic is represented by solid blue line, body-centered cubic is represented by black dotted line, and face-centered cubic is represented by red dashed line.
Fig. 2
The effect of α parameter in the long range term A ' 1 r 0 for different structures: simple cubic is represented by solid blue line, body-centered cubic is represented by black dotted line, and face-centered cubic is represented by red dashed line.
The effect of α parameter in the short range term A ' 2 r 0 ∗ for different structures: simple cubic is represented by solid blue line, body-centered cubic is represented by black dotted line, and face-centered cubic is represented by red dashed line.
Fig. 3
The effect of α parameter in the short range term A ' 2 r 0 for different structures: simple cubic is represented by solid blue line, body-centered cubic is represented by black dotted line, and face-centered cubic is represented by red dashed line.

3

3 The numerical results and conclusions

The curves in Figs. 4–6 represent the relative cohesive energy of nanoparticle as function of n-atoms are obtained from Eqs. (5) and (7). The relative cohesive energy curves are calculated for different cubic metallic structures and different values of the α parameter. The red cycles in Fig. 6 are denoted for experimental values of relative cohesive energy for Mo nanoparticle which is 0.6856 in the size n = 2000 and W nanoparticle which is 0.7512 in the size n = 7000 (Kim et al., 2002).

The impact of particle size in the relative cohesive energy of simple cubic nanoparticles with diverse values of α parameters: α = 3 is represented by solid black line, α = 3.1 is represented by dashed blue line, and α = 3.2 is represented by dotted green line.
Fig. 4
The impact of particle size in the relative cohesive energy of simple cubic nanoparticles with diverse values of α parameters: α = 3 is represented by solid black line, α = 3.1 is represented by dashed blue line, and α = 3.2 is represented by dotted green line.
The impact of particle size in the relative cohesive energy of body-centered cubic nanoparticles with diverse values of α parameters: α = 3 is represented by solid black line, α = 3.1 is represented by dashed blue line, and α = 3.2 is represented by dotted green line.
Fig. 5
The impact of particle size in the relative cohesive energy of body-centered cubic nanoparticles with diverse values of α parameters: α = 3 is represented by solid black line, α = 3.1 is represented by dashed blue line, and α = 3.2 is represented by dotted green line.
The impact of particle size in the relative cohesive energy of face-centered cubic nanoparticles with diverse values of α parameters: α = 3 is represented by solid black line, α = 3.1 is represented by dashed blue line, and α = 3.2 is represented by dotted green line. The red circles are denoted for experimental values (Kim et al., 2002).
Fig. 6
The impact of particle size in the relative cohesive energy of face-centered cubic nanoparticles with diverse values of α parameters: α = 3 is represented by solid black line, α = 3.1 is represented by dashed blue line, and α = 3.2 is represented by dotted green line. The red circles are denoted for experimental values (Kim et al., 2002).

The results in the Figs. 4–6 show the size impact of nanoparticle on the cohesive energy, where the relative cohesive energy increases as the nanoparticle size increases, and lean towards the corresponding cohesive energy of bulk metal. The higher the α parameter, the lower the potential reaction range, which resembles the effect of reducing the size of nanoparticles that destabilize the coherent energy as found in Barakat et al., 2007. After systematic search to find the possible candidate values of the α parameter to predict the experimental values for the relative cohesive energy of Mo and W nanoparticles. It is found that the candidate values of the α parameter for Mo and W nanoparticles respectively are 3.03 and 3.095.

In conclusion, Morse potential is used to study the impact of the size of the nanoparticles on the cohesive energy for different metallic cubic structures. It is found that the range of atom–atom interaction in Morse potential can be controlled only by one parameter α rather than two parameters m , n in Mie-type potential (Barakat et al., 2007). The present calculations show that Morse potential is a powerful candidate to study the thermodynamical properties of nanoparticle, where the calculated results of the cohesive energy are consistent with corresponding the experimental values of the cohesive energy for Mo and W nanoparticle.

Acknowledgment

Researchers supporting project number (RSP-2019/61), King Saud University, Riyadh, Saudi Arabia.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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