Van Cao Long1, Van Duong Quoc2, Dung Nguyen Trong3,1. 1. Institute of Physics, University of Zielona Góra, Prof. Szafrana 4a, Zielona Góra 65-516, Poland. 2. Faculty of Physics, Hanoi National University of Education, 136 Xuan Thuy, Cau Giay, Hanoi 10000, Vietnam. 3. Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam.
Abstract
In our paper, we study the effects of pseudopotential and concentration of Au doping (0, 25, 50, 75, 100%) on the geometric structure and electronic structures of AgAu alloys. For this purpose, we use ab initio quantum calculations in the Material Studios software. The geometric structures of materials are confirmed through the lattice constant, crystal structure, and total energy of the unit cells (E tot). Electronic structures of the materials are confirmed by band gap (Eg), projected density of states (PDOS), and total density of states (DOS). The obtained results show that the pseudopotential and concentration of Au doping on AgAu alloys play an important role in the origin of the physical properties of AgAu alloys.
In our paper, we study the effects of pseudopotential and concentration of Au doping (0, 25, 50, 75, 100%) on the geometric structure and electronic structures of AgAu alloys. For this purpose, we use ab initio quantum calculations in the Material Studios software. The geometric structures of materials are confirmed through the lattice constant, crystal structure, and total energy of the unit cells (E tot). Electronic structures of the materials are confirmed by band gap (Eg), projected density of states (PDOS), and total density of states (DOS). The obtained results show that the pseudopotential and concentration of Au doping on AgAu alloys play an important role in the origin of the physical properties of AgAu alloys.
Gold (Au) is one of the
precious metals that show inertia, biocompatibility,
and stability, which are used widely in coinage, ornaments, jewelry,
and for clinical techniques.[1] Gold (Au)
is soft, flexible, and ductile, and it belongs to the class of high
thermal and electrical conductive metals. To increase the plasticity
and electrical conductivity of Ag, one can phase Au into metals such
as silver (Ag), copper (Cu),[2] nickel (Ni),[3] manganese (Mn),[4] chromium
(Cr),[4] etc. The possibility of fabricating
pure metallic NPs with controllable size and shape enables modulation
of the LSPR from the UV region to the IR region of the electromagnetic
spectrum[5].[6] Among
them, Ag and Au metals are applied many in areas such as nanophotonics,[7] energy harvesting,[8] molecular detection,[9] biomedical therapeutics,[10] and catalysis,[11] and
hence they are intensively studied recently. Nowadays, the surface
plasmon response (SPR) of AgAu alloy[5][12] is attracting great attention. The properties
of AgAu alloys have been determined by both experimental[6],[13] and
theoretical methods.[14−16] Almost all of these studies use experimental methods,
and only a few theoretical studies use density functional theory to
investigate the properties of AgAu alloys. For example, Du et al.[14] have successfully determined the effect of Au
impurity concentration on the shape of NPs, and Ag atoms are always
located in the shell of the AgAu alloy. Similarly, Yang et al.[15] have successfully determined the effect of the
concentration of impurity Au on the linear expansion coefficient,
melting point, and volume heat capacity of AgAu alloy with lattice
constants a = b = 4.09 Å and c = 4.08 Å. Guisbiers et al.[17] have successfully fabricated AgAu alloy nanoparticles in different
shapes and sizes and shown that the surface segregation of silver
had an effect on the optical properties of materials. Also, Gong et
al. have successfully investigated the effect of Au dopant concentration
on the optical properties of AgAu alloy.[18] Besides, in recent years, we have also studied the effects of heating
rate, doping concentration, atom number, temperature of the structure,
electronic structure, phase transition, and crystallization of alloys
AuCu,[2][2] AlNi,[19] NiCu,[20,21] and FeNi.[22][23] The results obtained
show that when the heating rate increases, the alloy changes from
liquid state to amorphous state and vice versa, and that when the
atom number increases, size increases and the energy of the system
decreases. Increase (or decrease) of temperature leads to phase transition,
from which the phase-transition temperature (Tm), glass-transition temperature (Tg), and density of the dictionary state changes have been determined.
Moreover, increasing the symmetrical impurity concentration leads
to a change in the number of structural units (FCC, HCP, Amor), and
then electron density becomes very large. Then, a question arises:
what happens to the electronic structure of the alloy when the doping
concentration changes? To answer this question, we consider the influence
of the force field, the concentration of impurity on the electronic
structure, and the general structure of the AgAu alloy. In this paper,
we use ab initio calculation through DMol3 tools in the Materials
Studio software to study the effects of pseudopotential and concentration
of Au doping on the geometric structure and electronic structure of
AgAu alloy.
Results and Discussion
Effect
of Pseudopotential
The effect
of pseudopotential on the lattice constant of Ag and Au is presented
in Figure .
Figure 1
Results of
Ag and Au metals with different pseudopotentials.
Results of
Ag and Au metals with different pseudopotentials.It follows from these results that the lattice constants of Ag
and Au metals have been optimized using different pseudopotentials:
generalized gradient approximation-Perdew–Burke–Erzernhof
(GGA-PBE), GGA-Perdew–Wang (GGA-PW91), GGA-revised PBE (GGA-RPBE),
local density approximation-Perdew–Wang (LDA-PWC), and LDA-Vosko–Wilk–Nusair
(LDA-VWN). The lattice constants values of Ag are a = b = c = 4.1761, 4.1745 4.2069,
4.0630, and 4.0623 Å, which correspond to the values of total
energy of the unit cells (Etot), Etot = −2286.53, −2289.97, −2287.28,
−2277.43, and −2277.43 eV (Figure ). For Au, we have a = b = c = 4.1724, 4.1735, 4.1924, 4.0908,
and 4.0910 Å, which correspond to Etot = −1996.11, −1998.60, −1996.85, −1988.41,
and −1988.41 eV. We see that different hypotheses lead to changes
of lattice constants of Ag and Au (Figure ). In the obtained results, the LDA-PWC hypothesis
gives a result of 4.0630 with Ag and 4.0908 with Au. The results are
in good accordance with the experimental results: a = b = c = 4.0630 Å with Ag
and a = b = c =
4.0782 Å with Au,[24] which are almost
3 times larger than the valence radii of Ag (1.36 Å) and Au (1.45
Å).[25] These results show that pseudopotential
LDA-PWC gives the values of lattice constant for Ag and Au, which
are in good accordance with experimental results, so we choose it
for calculations.
Effects of Concentration
of Impurities
On Lattice Constants
The effects
of the concentration of Au impurity on the unit cell shape, the lattice
constant, and the total energy of the unit cells (Etot) of AgAu alloy are demonstrated in Figures and 3 and Table .
Figure 2
Shape of unit
cells of Ag (a), Ag0.25Au0.75 (b), Ag0.5Au0.5 (c), Ag0.75Au0.25 (d), and
Au (e).
Figure 3
Structural characteristic quantities: lattice
constant and total
energies of Ag, Ag0.75Au0.25, Ag0.5Au0.5, Ag0.25Au0.75, and Au calculated
by LDA-PWC.
Table 1
Crystal Information
of Ag, Ag0.75Au0.25, Ag0.5Au0.5, Ag0.25Au0.75, and Au Calculated
Using LDA-PWC Functional
alloy
Ag
Ag0.75Au0.25
Ag0.5Au0.5
Ag0.25Au0.75
Au
Bravais lattice
cubic
cubic
tetragonal
cubic
cubic
a = b (Å)
4.0630
4.0806
4.0955
4.0959
4.0908
c (Å)
4.0630
4.0806
4.0854
4.0959
4.0908
total energy Etot (eV)
–2277.43
–2205.19
–2132.94
–2060.68
–1988.41
result
4.0630[24]
4.09, 4.08[15] 4.0782[24]
Shape of unit
cells of Ag (a), Ag0.25Au0.75 (b), Ag0.5Au0.5 (c), Ag0.75Au0.25 (d), and
Au (e).Structural characteristic quantities: lattice
constant and total
energies of Ag, Ag0.75Au0.25, Ag0.5Au0.5, Ag0.25Au0.75, and Au calculated
by LDA-PWC.The obtained results show
that Ag and Au are metals with surface
center cubic structure (FCC) with lattice constants of the base cell
of Ag and Au of a = b = c = 4.0630 Å, Etot = −2277.43
eV and a = b = c = 4.0908 Å, Etot = −1988.41
eV, respectively. When Au was doped into the AgAu alloy with doping
concentrations of 0.0, 25, 50, 75, and 100%, we obtain alloys Ag (Figure a), Ag0.25Au0.75 (Figure b), Ag0.5Au0.5 (Figure c), Ag0.75Au0.25 (Figure d), and Au (Figure e). Then, the lattice
constant values increase correspondingly with Ag0.75Au0.25 for a = b = c = 4.0806 Å, total energy of the unit cells (Etot), Etot = −2205.19
eV; for Ag0.5Au0.5, a = b = 4.0955 Å, c = 4.0854 Å, Etot = −2132.94 eV; and for Ag0.25Au0.75a = b = c = 4.0959 Å, Etot = −2060.68
eV. It follows that when the concentration of Au doping in Ag is increased,
the lattice constants a, b, and c increase. This is the consequence
of size effect and surface effect. When the Au atom was doped with
a lattice constant greater than the lattice constant of the Ag atom,
the center of the Ag lattice is deformed, leading to a change of the
Ag structure and then an increase in the size of AgAu. The results
obtained are perfectly consistent with simulation results with a = b = 4.0955 Å and c = 4.0854 Å.[15] The lattice constant
value changes increase 1% higher than the lattice constants of Ag
and Au. The changes of lattice constants a, b, and c in the Ag0.5Au0.5 alloy are shown in Figure and Table . Due to the asymmetry of Ag atoms, the crystal status
of Ag0.5Au0.5 changed from cubic structure to
triclinic structure. In these models, substitution of the Au atom
into the Ag atom leads to the formation of interleaved layers of Ag,
and Au, with the periodic arrangement of atoms in each layer. This
structure increases the space between atoms, so it increases the lattice
constant and changes the lattice system from cubic in intrinsic Ag
to tetragonal in Ag0.5Au0.5.
On the Electronic Structures
The
electronic structure characteristics of Au and Ag are shown in Figure .
Figure 4
Electronic structures
(a) and partial density of states (b) of
Ag; electronic structures (c) and partial density of states (d) of
Au calculated using LDA-PWC.
Electronic structures
(a) and partial density of states (b) of
Ag; electronic structures (c) and partial density of states (d) of
Au calculated using LDA-PWC.It follows from the obtained results that band structures and density
of states of Ag and Aumetal are shown with the horizontal dotted
line representing the Fermi level, which corresponds to band gap Eg = 0.0 eV. We see that the band structures and density of
states of Ag and Au between energy state (E), E = −10 eV to 20 eV, are changed. The density of
states in valence bands is higher but narrower than that in the conduction
bands, in good agreement with the results of projected density of
states (PDOS) calculation. This is evident in the band structures
of Ag and Au calculated by PDOS; the conduction and valence bands
overlap, so there is no band gap in these materials. In other words,
they are metals, because for metals, the forbidden area width is always
Eg = 0.0 eV. This result is completely consistent with
the experimental results. We observed similar results with the PDOS
of s, p, d, and f orbitals to the formation of the band structure
of Ag and Au metals (Figure b,d). The contribution of orbital f is 0.0 in both materials,
which is consistent with the absence of this orbital in the valence
electron configuration of Ag and Au. The orbitals s and p only contribute
a small portion to their tight bonding with the core. The d orbitals
play the most important role in the formation of the band structure
of Ag and Au metals; this result is completely consistent with the
valence electron configurations of Ag and Au, 5d106s1 and 3d105s1, respectively. Also, the
densities of states (DOS) of the subclasses s, p, d, and f are mainly
concentrated in the energy state range from E = 0.0
eV to −10 eV (Figure a,c), which corresponds to the valence region of metal. This
shows that metal electrons are mainly concentrated in the valence
region and the conduction region has very few electrons, with band
gap (Eg), Eg = 0.0 eV. When the concentration
of Au doping into AgAu alloy increases, the results obtained are shown
in Figure .
Figure 5
Electronic
structures and partial density of states of Ag0.75Au0.25 (a, b), Ag0.5Au0.5 (c, d),
and Ag0.25Au0.75 (e, f) calculated using LDA-PWC.
Electronic
structures and partial density of states of Ag0.75Au0.25 (a, b), Ag0.5Au0.5 (c, d),
and Ag0.25Au0.75 (e, f) calculated using LDA-PWC.The results showed the band structures of the alloys
Ag0.75Au0.25 (Figure a,b), Ag0.5Au0.5 (Figure c,d), and Ag0.25Au0.75 (Figure e,f) with
a horizontal dotted line for Fermi level at 0.0 eV. One can see no
band gap in these band structures, which suggests that all AgAu alloys
are metals. The energy state levels lie between E = −10 eV and 20 eV, and the valence bands have a higher density
of states, similar to Ag and Au results. One can see that almost all
of the states below Fermi levels are filled; therefore, the electrons
from valence bands can easily jump to conduction bands for increasing
their mobility. This, in consequence, enhances the thermal and electrical
conductivities of Ag, Au, and their alloys. The details of the density
of states of Ag and Au and their alloys are shown in Figure .
Figure 6
Total density of states
with Au, Ag, and alloys calculated using
LDA-PWC.
Total density of states
with Au, Ag, and alloys calculated using
LDA-PWC.The results obtained show, when
Au atoms are doped into the Ag
lattice, that the total electronic density of states of Ag has significant
changes. In Ag, the width of the bands with a high density below the
Fermi level is between E = −10 eV and 0.0
eV and the values of this width increase with a decrease of Au concentration:
at E = −10 eV, the value of electron density
remains unchanged (0.0%); at E = −7.25 eV,
the electron density decreases, then increases, and finally decreases
to reach the extreme value in the valence area, which tends to change
from 0.74% to 0.18, 0.32, 0.0, and 1.25%; at E =
−5.0 eV, the electron density decreased, then increased, and
finally decreased from 0.22% to 0.36, 7.69, 0.0, and 8.27%; at E = −4.42 eV, the electron density decreased, then
increased, and finally decreased from 0.31% to 0.50, 10.72, 0.0, and
0.53%; at E = −2.5 eV, the electron density
decreased, then increased, and finally decreased from 0.16% to 0.20,
9.0, 0.0, and 9.36%; at E = 0.0 eV, the electron
density increased and then decreased from 0.38% to 0.60, 0.66, 0.0,
and 1.64%. This is a consequence of the fact that changes in the s
and p subclasses of 5d106s1 with Ag and 3d105s1 with Au lead to changes in the density of
electrons in the s, p, d, and f subclasses. With energy larger E > 0.0 eV, electronic density has a very small, almost
constant value (Figure ). This shows that in the valence region, the electron density has
the largest percentage, extending the maximum value to E = −4.42 eV. This result suggests that the mobility of an
electron in AgAu alloys increases and the conductivity of AgAu alloy
is higher than in Ag metal. The reason is that the electronic interaction
between Ag and Au atoms, when the concentration of Au doping in Ag
increases, leads to an increase in the conductivity of AgAu alloy
and reaches the maximum value with Ag0.5Au0.5. The results obtained are very useful and would be served as a basis
for future experimental studies.
On
the Energy Formation
The formation
of AgAu alloys can be fixed using the formation energies of the materials.
The formation energies (ΔEmod) of
AgAu alloys are calculated by formula where Etot(models)
and Etot(Au) are the total energies of
AgAu alloy and intrinsic Aumetal, respectively; μAg and μAu are the chemical potentials of intrinsic
Ag and Au, respectively; and m and n represent the numbers of substituted
and removed Ag atoms in the corresponding models, respectively. The
details are listed in Table . The values of chemical potentials μAg and
μAu are determined via the energy of a single Ag
and Au atom in bulk material, and the accepted values of μAg and μAu in this research are −497.103
eV and −569.356 eV, respectively. We list the calculated formation
energies of all models in Table .
Table 2
Number of Ag Atoms (m) Substituted into and the Number of Au Atoms (n) Removed from Au Lattice for Original Models of AgAu Alloys
models
Ag
Ag0.75Au0.25
Ag0.5Au0.5
Ag0.25Au0.75
Au
m
4
3
2
1
0
n
4
3
2
1
0
formation energy Emodels (eV)
0
–0.01696
–0.02292
–0.01744
0
The results show that all almost formation
energies of AgAu alloys
are negative and small, but the energy of Ag0.25Au0.75 is negative and has the smallest value. Negative and small
formation energies suggest that AgAu alloys can be easily formed by
doping Au into Ag with different ratios (0.25:0.75, 0.5:0.5, and 0.75:0.25)
for creating alloys (Table ). In general, one can predict this fact because AgAu alloys
can form in distinct mass or atom ratios and Ag0.5Au0.5 is more difficult to form because it has smaller lattice
constants with more negative and small total energy.
On the Radial Distribution Function
The radial function
distribution (RDF) g(r) is defined
as follows: , where ρ(r) is the
local density of the material at coordinate r and
ρ is the density of the material. The results are demonstrated
in Figure .
Figure 7
Values of the radial distribution function g(r) of Ag,
Ag0.75Au0.25, Ag0.5Au0.5, Ag0.25Au0.75, and Au calculated using LDA-PWC.
Values of the radial distribution function g(r) of Ag,
Ag0.75Au0.25, Ag0.5Au0.5, Ag0.25Au0.75, and Au calculated using LDA-PWC.The obtained results show that the separated peaks
at different
distances of all RDF are the consequences of the periodic distribution
of Ag and Au atoms and AgAu alloy in the space. The similarity of
lattice constants and ionic radii of Ag, Au, and AgAu can explain
the unchanged positions of RDF peaks of all models. When Au atoms
are doped into the Ag lattice, the lattice constants and structure
of AgAu alloys exhibit insignificant changes.
Conclusions
In this paper, the geometric structures and
electronic structures,
formation process, and radial distribution function of Ag, Aumetal,
and AgAu alloys with different dopings of Au have been studied by
calculating ab initio via the DMol3 package in the Materials Studio
software. The calculated results show that AgAu alloys have been created.
The substitution of Au atoms into Ag atoms gives insignificant changes
of lattice constant and leads to insignificant changes in the structural
and electronic properties of AgAu alloys. The lattice constant of
the alloys varies slightly when the Au concentration is increased,
and a Ag/Au ratio of 0.5:0.5 leads to the change of the lattice structure
from cubic to tetragonal. The density of state (DOS) of AgAu is always
greater than that of metal. When Au atoms are doped in Ag atoms, there
is a maximum value for Ag0.5Au0.5. Besides,
the RDF result shows insignificant changes in lattice constants, which
are characterized by the similarity of the peaks.
Computational Methods
All ab initio calculations were carried
out using DMol3[26]—a widely used
module in Materials Studio,
a copyrighted software for materials simulation designed by Biovia
(formerly Accelrys). Different exchange–correlation functionals
for local density approximation (LDA)[27] (Perdew–Wang (PWC)[28] and Vosko–Wilk–Nusair
(VWN)[29]) and generalized gradient approximation
(GGA)[30] (Perdew–Burke–Erzernhof
(PBE),[31] revised PBE (RPBE),[32] and Perdew–Wang (PW91)[28]) had been used to optimize and identify the stable unit
cells of materials. The accepted Monkhorst–Pack scheme k-point
grid sampling[33] for all of the calculation
is 5 × 5 × 4, while the valence electron configurations
of intrinsic Ag and Au are 4d105s1 and 5d106s1, respectively. The density functional semicore pseudopotential
(DSPP)[34] was used to describe the interactions
of valence electrons and the core. The self-consistent iterations
convergence was fixed when the change of total energy reaches the
value of 1 × 10–6 eV. The tolerances of maximum
force and maximum displacement in the geometry optimization processes
were established at 5.4 × 10–3 eV/Å and
5 × 10–3 Å, respectively. Initially, Ag
and Au metals are placed at different pseudopotentials and AgAu alloy
with Au doping concentrations of 0% (0.0), 25% (0.25), 50% (0.5),
75% (0.75), and 100% (1.0). The obtained results, geometric structures,
are determined through lattice constant, total energy (Etot), and radial distribution function (RDF), and electronic
structures through band gap (Eg), projected density of
states (PDOS), and total density of states (DOS) of Ag and Au metals
and AgAu alloys. To check the accuracy of the results, we compare
the simulation results with the results of previous studies.
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