conducted a theoretical investigation of two graphene layers intercalated by Ca, and the electronic structures and vibrational modes of which were carefully examined.3b Embedding transit
Trang 1Graphene-Cr-Graphene Intercalation Nanostructures: Stability and Magnetic Properties from Density Functional Theory Investigations Viet Q Bui and Hung M Le*
Faculty of Materials Science, University of Science, Vietnam National University, Ho Chi Minh City, Vietnam
Yoshiyuki Kawazoe
New Industry Creation Hatchery Centre, Tohoku University, 6-6-4, Aramaki, Aoba, Sendai, 980-8579, Japan
Duc Nguyen-Manh
Theory and Modeling Department, Culham Centre for Fusion Energy, United Kingdom Atomic Energy Authority, Abingdon, OX14 3DB, U.K
ABSTRACT: A theoretical investigation of two-dimensional
graphene-Cr-graphene intercalation nanostructures has been
carried out using density functional theory (DFT) calculations
The intercalation nanostructures of interest are classified based
on the atomic ratio of Cr with respect to C on two graphene
layers, and we accordingly assign nomenclatures to the
intercalation nanostructures as 1-4, 1-12, and 1-16 GMG
Binding energy analysis suggests that the 1-12 and 1-16 GMG
structures are energetically stable, whereas the 1-4 GMG
structure is unstable When examining the 1-4 bilayer
graphene-Cr (GGM) structure, we have found that it is
energetically stable and nonmagnetic On the other hand, all
three GMG intercalation structures are found to be ferromagnetic, and the 1-16 GMG structure exhibits the highest total magnetization (2.00μB/cell), whereas the 1-12 GMG structure exhibits the lowest total magnetization (0.46μB/cell) Interplays between stability and magnetic properties of these three nanostructures are discussed from electronic structure analysis It is found for the two stable nanostructures that the 2pzorbitals of graphene layers are aligned antiferromagnetically with respect to the Cr layer, thus causing negative contributions to total magnetic moments of two stable GMG nanostructures
I INTRODUCTION
Graphene is an infinite honeycomb monolayer of carbons, in
which each atom connects to three surrounding others by sp2
-hybridized bonds Since the discovery of this new material,1
graphene has attracted huge attention of the research
community in the 21st century Besides its interesting physical
strength and superconductivity,2 the coordination chemistry
between graphene and metals has been continuously explored
and well-established during these recent years.3The adsorption
on metallic materials can alter its electronic properties (shift of
the Fermi level) and thus leads to different electronic transport
behaviors.3e
A vast variety of metals interacting with graphene have been
investigated both experimentally as well as theoretically by
first-principles computational methods By employing X-ray
magnetic circular dichroism, Weser and co-workers studied
the induced magnetism of carbons in the graphene/Ni(111)
interacting surface.4 The decoration of Au nanoparticles on
graphene was conducted by Muszynski et al.5using a chemical
reduction of AuCl4−ions Positively charged Au nanoparticles
were deposited on the graphene surface, and it was reported that such a structure had some featured applications in biosensors.6 By employing atomic resolution scanning trans-mission electron microscopy, Zan and co-workers investigated detailed surface interactions between graphene and three
concluded that different metals tended to bond to a specific site
on the graphene sheet While it was discovered that Au and Fe, respectively, bonded to the T and B adsorption sites (the nomenclature of the three binding sites is given in Figure 1), Cr atoms were found to bond more strongly on the H site of the graphene monolayer than the other two metals More information regarding experimental graphene−metal surface interactions is available for consulting in a review paper by Wintterlin and Bocquet.8
Received: November 1, 2012
Revised: January 23, 2013
Published: January 24, 2013
pubs.acs.org/JPCC
Trang 2Since the advanced development of density functional theory
development of computational packages for condensed-matter physics and nanostructured materials science calculations As a matter of applications, numerous DFT-based approaches of graphene−metal interactions have been vastly performed in order to inspect the physical properties and coordination chemistry In a theoretical work conducted by Nakada and Ishii,3c the decorations of many kinds of metals (including alkali, alkali-earth, and d transition metals) were investigated
(LDA) for the exchange-correlation functional, and it was suggested that, in most cases, a metal atom tends to locate on the hexagonal (H) adsorption site, while few other metals assumed other adsorption positions (bridge (B) and top (T) sites), as defined in Figure 1 The 3d metal of interest in this study, Cr, was reported to most stably interact with graphene when assuming the H site on the graphene sheet In a theoretical work reported by Giovannetti et al.,3e interactions between graphene and several metal substrates (Al, Ag, Cu, Au, and Pt) were inspected, and the resulted data have suggested
caused shifts of approximately 0.5 eV in the Fermi level (with respect to the conical points in graphene) When the
Figure 1 Definitions of three adsorption sites on the graphene
surfaces: hexagonal (H), bridge (B), and top (T).
Figure 2 Two-dimensional periodic structures of three GMG intercalation nanostructures: (a) 1-4, (b) 1-12, and (c) 1-16.
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Trang 3interactions of graphene−Ni and graphene−Cu were
inves-tigated, the theoretical observations clearly demonstrated that
the adhesive energy of graphene−Ni was much stronger than
that of graphene−Cu.11
A super effort to construct a graphene nanoribbon interfaced with the surfaces of two Ni electrodes
was contributed by Smolyanitsky and Tewary12using atomistic
simulation methods Recently, Jishi et al conducted a
theoretical investigation of two graphene layers intercalated
by Ca, and the electronic structures and vibrational modes of
which were carefully examined.3b Embedding transition-metal
atoms on graphene exhibits interesting magnetic behavior,
which involves the role of the sp2-hybridized orbital from
graphene and spd orbitals from transition metals.13Spintronics
was also of concern, and it was previously investigated by
Maassen et al.14 using first-principles calculations with spin
efficiencies reported as 80% and 60%, respectively
By definition, an intercalation nanostructure consists of two
(or multiple) graphene monolayers embedded by a layer(s) of
metal atoms Interestingly enough, the electronic conductivity
of such structures is surprisingly high, and may consequently
lead to some potential technologies and applications, especially
in electronic transporting devices The modulation of graphene
magnetic behavior, as shown in a previous study,14suggested
potential applications in spintronics as well In this study, we
present a theoretical investigation of structural stability,
electronic structures, and magnetisms of various
graphene-Cr-graphene intercalation nanostructures using a DFT-based
approach (for convenience, we denote GMG as an abbreviation
for graphene-Cr-graphene intercalation nanostructures)
distribution of Cr on graphene surfaces, which consequently
results in various periodic two-dimensional structures We
examine the stabilities of our GMG structures by investigating
binding energies and dissociation energies of Cr−graphene
coordination bonds In addition, we also interpret magnetisms
based on the analysis of spin-polarized electronic structure to
reveal the interesting magnetic properties of these GMG
nanostructures
II INTERCALATION STRUCTURES
The distribution of Cr on the surfaces of two graphene layers
certainly has a significant effect on the structural stability and
hence results in a typical strength of coordination bonds
(binding energy) and magnetic property.13,14 In this study, we
consider three different GMG intercalation nanostructures that
are classified by the distribution ratio of Cr per C atoms on two
graphene sheets
The most Cr-concentrated structure is referred to as “1-4
GMG” In this structure, Cr atoms are distributed in such a way
that they occupy all“honeycomb units” (six-membered carbon
rings like benzene) on the graphene lattice In the
two-dimensional unit cell, there are one Cr and four C atoms (two
C from the upper layer and two C from the lower layer) As
shown in Figure 2a, there are two types of chemical interactions
that involve transition metal−carbon complex interactions and
possible metallic bonding between Cr atoms
In the second intercalation structure of interest, the unit cell
contains 1 Cr and 12 C atoms (6 C from each layer), and it is
consistently named as the“1-12 GMG intercalation
nanostruc-ture” The distribution of Cr in this lattice, as shown in Figure
2b, allows Cr to occupy one centered honeycomb unit and
leave six surrounding honeycomb units unoccupied More
importantly, we believe that the Cr−Cr metal interaction is not found in this structure
In the last intercalation structure investigated in this study (Figure 2c), metal−metal interaction is least likely to be observed among the three investigated cases, since Cr is least concentrated In a unit cell of such a structure, each Cr atom has 16 C atoms with the nearest-neighbor coordination (8 from each graphene layer), and we thereby name this nanostructure
The conventional unit cells of the three intercalation nanostructures have a 2D characteristic in the x and y directions The z direction, on the other hand, is treated within a vacuum by employing a 30 Bohr (15.88 Å) length for the c axis
III COMPUTATIONAL DETAILS The Quantum Espresso package15is employed to execute all
Ernzerhof (PBE) exchange-correlation functional16 with the ultrasoft pseudopotential17for Cr and C The local spin-density approximation18(LSDA) is adopted to deal efficiently with the metal−aromatic interaction of the GMG intercalation elec-tronic structure In addition, we also testify 1-16 GMG and a
generalized gradient approximation16a(GGA) for the purpose
of comparisons with available LSDA results The k-point mesh
is selected as (12 × 12 × 1), which is sufficient to provide convergence satisfaction in total energy calculations A consistent kinetic energy cutoff for plane-wave expansion is selected as 45 Ry for all calculations performed in this study
In numerical optimizations of lattice constants, we employ the Broyden−Fletcher−Goldfarb−Shanno19
(BFGS) algorithm with tight convergence criteria, that is, 10−5eV/cell for energy
Since all investigated structures are two-dimensional lattices, as mentioned earlier in the previous section, the unit cell length of the z direction is set to 30.00 Bohr (15.88 Å) to accommodate vacuum treatment
IV RESULTS AND DISCUSSION
i 1-4 GMG Nanostructure In the most Cr-concentrated nanostructure (1-4 GMG), every aromatic honeycomb unit in the infinite lattice is occupied by a Cr atom As mentioned earlier in this paper, such an occupation of Cr atoms on the two graphene sheets consequently allows them to form an interacting rhombus network, as illustrated in Figure 2a Interestingly enough, this rhombus network has an effect on the bonding interaction of 1-4 GMG and its structural stability
It is observed in the relaxed structure of 1-4 GMG that the Cr−
Cr distance is 2.532 Ǻ For a comparison, the experimental
body-centered cubic (bcc) lattice is 2.503 Ǻ The exact formation angles of such a rhombus are 60° and 120° due to the periodicity of two graphene layers, which certainly have a total effect on constructing the metal network Recall that, in nature, the Cr crystal stably assumes the body-centered cubic (bcc) structure, and on its 110 crystallographic plane, four neighboring Cr atoms constitute a rhombus with two angles being 45° and 135°
resulting length of 1.462 Ǻ, which is longer than the C−C bond
in an isolated graphene sheet given by our DFT calculations
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Trang 4(1.422 Ǻ) The distance between Cr and one graphene layer is
reported as 1.945 Ǻ, while the Cr−C distance is 2.433 Ǻ When
we compare these resulting atomic distances to those resulting
from the optimized structures of 1-12 and 1-16 GMG, the 1-4
GMG nanostructure is least compressed in the z direction
among the three intercalation structures Although the 1-4
GMG structure provides the longest Cr layer−graphene layer
distance, the Cr−graphene interaction in such a structure is
almost similar to that in 1-12 GMG, as shown in the electron
density analysis (Figure 3a) of Cr−C interactions for these two
interactions in the 1-4 GMG and 1-12 GMG nanostructures
(Figure 3b), it can be seen in both cases that electron density
mostly resides near Cr nuclei; however, the electron density in
the middle of Cr−Cr in 1-4 GMG is slightly higher Therefore,
we can conclude that Cr−Cr interaction is more likely
dominant in the 1-4 GMG structure
To determine the thermodynamic stability of each
intercalation structure, it is necessary to determine the binding
energy of Cr attaching to two graphene surfaces In this work,
we determine the binding energy of a GMG nanostructure as
follows
Ebinding 2Egraphene ECr layer Ecompound (1)
where Egraphenerepresents the total energy of a graphene sheet,
ECr_layer represents the energy of the Cr layer, and Ecompoundis
the total energy of the intercalation structure of interest A
positive binding energy indicates an energetically stable product (which can be exothermically synthesized); on the other hand,
a negative binding energy reveals an unstable structure Adopting eq 1, the binding energy of Cr in the 1-4 GMG intercalation nanostructure is calculated as−0.090 eV/cell (of five atoms) (−2.07 kcal/mol), which reveals the instability of
1-4 GMG This amount of binding energy suggests that the adsorption of Cr on every honeycomb unit of the two graphene units results in an endothermic process If we use the energy of one Cr in the bcc unit cell (instead if using the energy of a Cr layer), the new resulting binding energy is −1.99 eV, which even reveals a more unstable structure However, since there is
no mutual interaction between Cr−Cr in the z direction in 1-4 GMG, we believe that using a Cr layer in binding energy calculations is more sensible For comparison purposes, the bond distances and binding energies for three GMG intercalation structures in this study are summarized in Table 1
The electronic property of 1-4 GMG is explored in our calculations by examining the total density of state (DOS) and partial density of state (PDOS) of Cr 3d and graphene 2p orbitals In Figure 4a, the spin-polarized DOS plot of the 1-4 intercalation nanostructure clearly shows band overlapping at the Fermi level (positioned at 0 eV) and exhibits conducting behavior of the material It is found that the high values of DOS
at the Fermi energy (E = 0) for both up- and down-spin contributions from the Cr layer are the origins of structural instability in this case
We notice spin polarizations from the DOS plot that consequently cause magnetization behavior of the 1-4 GMG intercalation nanostructure Two magnetic quantities for each nanostructure are reported in our study, which are the total magnetization (MT) and absolute magnetization (MA) In the
computed as the integral of magnetization over the unit cell volume, while an absolute magnetization is the integral of absolute value of magnetization over the unit cell volume The mathematical expressions of total and absolute magnetizations are respectively shown in the following equations:
∫
∫
(3)
As we notice in the above equations, a positive orbital polarization contributes ferromagnetism to the total magnetic
Figure 3 (a) Electron density plots of Cr−C interactions in 4 and
1-12 GMG (b) Electron density plots of Cr−Cr interactions in 1-4 and
1-12 GMG.
Distances, and Binding Energies of the 1-4, 1-12, and 1-16 GMG Nanostructures
bonddistance(Å)
GMG intercalation structure C −C Cr −C Cr layerdistance (Å)−graphene layer
binding energy (eV/cell)
1.439 2.266 1.427
a There are three different C−C and two different Cr−C bonds in the 1-16 GMG structure.
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Trang 5moment On the other hand, a negative orbital polarization
contributes antiferromagnetism, and consequently reduces the
total magnetic moment (in this case, we would have the total
magnetic moment to be lower than the absolute magnetic
moment) As a result, when the total and absolute
magnet-izations are identical, we can conclude that all orbital
polarizations in the system of interest are positive (absolute
ferromagnetism)
Recall that chromium metal in the bcc lattice exhibits
spin-density-wave antiferromagnetism;20however, when a layer of
Cr is introduced in between two graphene monolayers, the
magnetic behavior turns to ferromagnetism, as shown in the
total DOS and PDOS of the Cr 3d orbital (Figure 4a) It is
shown from the plot that the total magnetic moment is
dominated by the contribution of the Cr layer, while the
contribution of two graphene layers (2pz orbitals) is smaller
According to our spin-polarization analysis, the total and
absolute magnetizations of the 1-4 intercalation nanostructure
are 1.36 and 1.58μB/cell, respectively
A critical issue regarding structural stability is raised when such intercalation structures of graphene layers and 3d transition metals are to be experimentally synthesized; therefore, it is of importance to examine the structural stability
of our proposed intercalation nanostructures by computational DFT methods In this study, besides investigating binding energies and electronic and magnetic properties of GMG crystals, we also look forward to examining the dissociation and/or migration energy barriers
As previously mentioned, the bonding scheme between graphene and a transition metal is mostly formed by coordination bonds when the metal (for instance, Cr in this study) has a great tendency to accept electron donation from graphene 2pzorbitals The strength (stability) of such types of bonds may vary depending upon the nature of donating and accepting groups Anyhow, it is revealed in most cases that the coordination interaction is often weak,21and the coordination interaction might be destroyed under the effects of temper-ature/pressure
To examine the bonding stability of graphene-Cr-graphene nanostructures, we attempt at two important aspects: (i) direct dissociation of intercalation structures in the z direction and (ii) migration of Cr from the hexagonal (H) site (most stable) to a less stable position (bridge (B) or top (T))
In a previous study reported by Nakada and Ishii,3cCr was reported to most favorably assume the H site when attaching to
a single graphene sheet (with a positive binding energy reported as 3.99 eV) In our study, when Cr is located at the T (or B) site in the 1-4 GMG intercalation structure, the optimizations of graphene-metal-graphene do not successfully converge; in fact, the two graphene layers are pushed far away from the Cr layer during the optimization processes Therefore,
we conclude that the decorations of Cr on the T and B sites of 1-4 GMG do not result in Cr−graphene interactions, as we see
in the H-site adsorption case Hence, we proceed the stability investigation by only examining the direct dissociation scheme
of 1-4 GMG
After conceiving a negative binding energy (−0.090 eV/cell),
to further testify the instability of 1-4 GMG, we inspect the direct dissociation barrier of such an intercalation nanostructure
by performing relaxations based on total energy calculations
structure is relaxed in the x and y directions, while the z direction isfixed Consequently, we obtain a dissociation barrier
as shown in Figure 5 At the transition state, the Cr−graphene distance is found to be 2.420 Å, and the corresponding energy barrier is 0.217 eV/cell (of 5 atoms) or 5.00 kcal/mol Recall that the 1-4 GMG structure is unstable in terms of binding energy, and the low destruction energy of such a structure is reasonable in terms of coordination interaction between graphene and transition-metal adatoms.21 At the end of the dissociation process, we should be able to obtain a more stable product (two graphene sheets and a Cr layer) than the reactant (by an amount of 0.090 eV/cell, as suggested in previous binding energy calculations) At the transition state, the complex interaction between Cr and graphene starts to decrease, and we notice a significant increase in magnetism magnitude Interestingly, the total and absolute magnetizations become almost similar (3.20 and 3.21 μB/cell, respectively) This fact reveals that all orbital polarizations are ferromagnetic,
as previously stated from the mathematical interpretation of eqs
2 and 3
Figure 4 (a) Total DOS for 1-4 GMG and the corresponding PDOS
for graphene 2p and Cr 3d orbitals (the Fermi level is positioned at 0
and indicated by a vertical line) In this plot, the up and
spin-down states are not perfectly aligned, which demonstrates that 1-4
GMG is ferromagnetic (b) Total DOS and PDOS for the 1-4 G1G2M
structure (the Fermi level is positioned at 0 and indicated by a vertical
line) Note that the second graphene layer (G2) is in direct contact
with the Cr layer The spin-up and spin-down states are perfectly
aligned, which demonstrates that 1-4 GGM is nonmagnetic.
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Trang 6We further inspect the 1-4 graphene-graphene-Cr (1-4
GGM) nanostructure using DFT calculations In this case,
two graphene layers are not in superposition, as seen in the
GMG structures; in fact, we use a bilayer graphene consisting of
two monolayers stacked as in natural graphite, which was
proved to be stable in a previous experimental study.22At the
optimized equilibrium, the binding energy for 1-4 GGM is
found to be 0.850 eV/cell, suggesting that the new structure is
energetically stable The interlayer distance between the two
graphene monolayers is 3.2 Å, whereas the Cr−G nearest layer
distance is 1.97 Å, which is a bit higher than the Cr−G distance
within the 1-4 GMG structure (1.945 Å) In addition, when the
spin-polarized DOS is analyzed (as shown in Figure 4b), the
spin-up and spin-down states perfectly align Consequently, all
orbital spin polarizations vanish, and we conclude that 1-4
GGM is a nonmagnetic nanostructure
ii 1-12 GMG Nanostructure In the 1-12 GMG
intercalation nanostructure, with the Cr concentration being
reduced, we observe some major changes in the cell structural
stability as well as magnetic property As revealed in Figure 2b,
the chromium atom in the 1-12 GMG structure occupies one
honeycomb unit and six surrounding honeycomb units are
interacting network in the 1-12 GMG intercalation
nanostruc-ture The C−C bond in the graphene sheet is 1.433 Å, which is
Cr−C in the 1-12 intercalation structure is 2.176 Å (15.7%
longer than that in the 1-4 GMG intercalation structure) In
addition, the Cr layer−graphene surface distance is 1.639 Å,
and the distance between two graphene layers is consequently
3.278 Å, which is very close to the distance between two layers
in the graphite lattice (3.361 Å according to our DFT
calculations) From the reported evidence, it is easy to find
out that the 1-12 GMG structure is more compressed than the
previous 1-4 GMG structure In fact, if we compare all three
investigated structures, as we will see later, the 1-12 GMG
nanostructure is most compressed, and the graphene−graphene
interlayer distance is very close to that of graphite Note that
there is a major difference between our intercalation models
and graphite; that is, in our models, carbon atoms from two
graphene sheets are in superposition A charge density analysis
for the C−C interaction from the two graphene layers for 1-4 GMG, 1-12 GMG, and graphite is reported in Figure 6 Despite
having the highest interlayer distance, the 1-4 GMG has the highest electron density in between two carbon atoms (of two distinct graphene layers), whereas we observe less overlapping
of electron density between carbon atoms from two layers in
1-12 GMG and graphite
We again employ eq 1 to determine the binding energy of the Cr atom in the corresponding structure of 1-12 GMG, and the resulting binding energy is 1.010 eV/cell (of 13 atoms), or 23.4 kcal/mol This positive binding energy suggests an exothermic reaction when the 1-12 GMG structure is synthesized Recall that, in the previous case (1-4 GMG intercalation structure), the binding energy is−0.090 eV/cell Hence, a huge difference in thermodynamic properties between the 1-4 and 1-12 GMG structures is observed In the 1-4 GMG case, we conceive an unstable product, but in the 1-12 GMG case, a much more stable product is obtained In a previous theoretical study,3cthe adsorption of a Cr atom on a graphene layer resulted in a binding energy of 3.99 eV, which is higher than the decoration of the Cr layer in between two graphene monolayers in our case
The 1-12 GMG nanostructure is believed to share structural similarities to a metallorganic compound, which is
similar DFT calculations to optimize the equilibrium structure
of bis(benzene)chromium, and the results have revealed significant structural similarities between the 1-12 GMG lattice and bis(benzene)chromium For the metallorganic molecule, the Cr−C bond is 2.140 Å, which is only 1.65% lower than the corresponding bond in 1-12 GMG Moreover, the distance between Cr and a benzene ring in bis(benzene)chromium is 2.26% lower than the interlayer distance between Cr and graphene in 1-12 GMG We believe that the above closely related bond lengths are useful to make a connection between the two structures in terms of stability and magnetism In fact, the binding energy of bis(benzene)chromium is calculated as 2.923 eV/molecule and reveals better stability of this
Figure 5 Direct dissociation of 1-4 GMG At 2.420 Å, we observe a
transition state for dissociation with an activation energy of 0.217 eV/
cell.
Figure 6 Electron density plots for C−C interaction from different layers in 4 GMG, 12 GMG, and graphite Unlike graphite, in our
1-4 and 1-12 GMG models, carbon atoms from the two layers are in superposition.
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Trang 7metallorganic compound comparing to the 1-12 GMG
nanostructure We note, however, that a nonmagnetism is
found in bis(benzene)chromium, whereas 1-12 GMG is weakly
ferromagnetic
When the direct dissociation barrier of the 1-12 GMG
structure is investigated, the transition state is not observed
during the process Such a structure is very stable when
comparing to the initial reactants in terms of binding energy;
thus, the reaction of 2graphene + Cr to produce 1-12 GMG is
believed to be barrierless (spontaneous), and we should not
observe any transition state for the dissociation
In the next stage, the migrations from the H site to the other
less stable sites (B and T) are inspected using the
handle transition-state locating In the NEB algorithm,
(product) states, one can locate the transition state by
analyzing the gradients (first derivative) of atoms within the
unit cell In this study, we employ the NEB algorithm
transition states for H−T and H−B transitions During an
optimization, the norm of perpendicular force with respect to
the reaction path is used as a numerical convergence criterion
If it is less than 0.05 eV/Å/atom, calculations are terminated
and thefinal result is then reported
At equilibrium, the energies of B and T adsorptions are
found to be higher than the energy of H adsorption by an
amount of 0.342 and 0.382 eV/cell, respectively From the
above relative energies (compared to the energy of H
adsorption), it is shown that the adsorption of Cr in the
adsorption right on top of C With the knowledge of thefinal
products, we perform two NEB optimizations to scan for the
transition structures In each optimization, a series of
intermediate structures (images) are produced, and the two
transition states are found, as presented in Figure 7 For the H−
B migration in 1-12 GMG, the activation energy for such a
transformation is reported as 0.351 eV/cell, whereas an
activation energy of 0.433 eV/cell is required for the H−T migration to occur According to our calculations, it can be concluded that the B adsorption of Cr in the 1-12 GMG structure is quite more energetically favored than the T
migration is more advantageous because of its lower activation
respectively, which is lower than the total and absolute magnetizations of the H−T transition state (4.06 and 4.44
μB/cell, respectively)
For the equilibrium 1-12 GMG intercalation nanostructure, according to our calculations using LSDA treatments, the total
respectively, which are significantly less than the magnetizations
structure analysis indicates ferromagnetism with a nonzero total magnetization value In fact, the ferromagnetic property of the 1-12 GMG nanostructure is much weaker than that of the previous structure (4 GMG) by observing the total DOS of
1-12 GMG and the corresponding PDOS for Cr 3d orbitals (illustrated in Figure 8a) Around the Fermi level (positioned at
0 eV), the spin-polarized DOS distributions of Cr 3d orbitals are slightly different, and a weak ferromagnetism for the 1-12 GMG intercalation structure is observed As shown in Figure 8b, the difference in Cr 3dz2 spin distribution mainly causes a weak ferromagnetism in 1-12 GMG We also see good electron localization in the 1-12 nanostructure when Cr 3dz2, 3dzx, 3dzy orbitals and C 2pzorbitals overlap around the Fermi state The LDOS of C 2px(and similar 2py) orbitals indicate that they do not really participate in the bonding interaction between Cr and graphene According to our spin-polarized DOS analysis, the Cr 3dz2 orbital contributes largely to the total magnetic moment (0.293μB/cell), whereas other orbitals in the Cr 3d shells do not have a large impact on total magnetization The contribution of the C 2pzorbital, however, results in a negative magnetic moment (−0.076 μB/cell) and causes a decrease in total magnetization As for the bis(benzene)chromium case, which has a close chemical configuration to that of 1-12 GMG,
we witness a nonmagnetic case The empty shells in Cr 3d are
effectively filled by electrons from benzene 2pz orbitals; thus, such an electronic interaction results in a nonmagnetism molecule
To validate the ferromagnetism of our GMG models, it is useful to perform LDA calculations for the graphene-Cr-graphene-Cr-graphene (GMGMG) structure (in this case, we have 6 C atoms in one graphene layer, and thereby have 24 C atoms in the unit cell) In this examination, the case of antiferromagnetism is tested by assigning positive and negative initial magnetizations to two Cr atoms in the unit cell Interestingly, it is found that, at equilibrium, all atomic shell polarizations vanish, and we obtain zero total and absolute magnetic moments We also employ GGA calculations for GMGMG optimizations, and the resulting spin polarization is totally consistent with previous LDA calculations In con-clusion, we strongly believe that, even with two Cr atoms in the unit cell, the ground state of the GMGMG model does not exhibit antiferromagnetism Therefore, we believe that the ground states of GMG models are actually ferromagnetic, as shown by the provided theoretical evidence
and C−C bond lengths in the 1-16 GMG nanostructure It has been shown from our DFT calculations that the average Cr−C
Figure 7 Potential energy barriers for H−B and H−T migrations
provided by NEB optimizations H−B migration is more energetically
favored than H−T migration.
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Trang 8bond distance is 2.263 Å The distance between the Cr layer
and a graphene layer is approximately 1.746 Å From the
reported structural geometries, it is observed that the 1-12
GMG structure is the most-compressed structure in the z
direction among the three cases, although it has an intermediate
Cr concentration compared to the other two GMG structures
To test the structural stability, we again employ eq 1 to
calculate the binding energy, and obtain a resulting amount of
2.093 eV/cell (of 17 atoms) Such a binding energy suggests
that the formation of 1-16 GMG is exothermic and results in a
stable product When this binding energy is compared to that of
the previous cases (1-4 and 1-12 GMG structures), the 1-16
GMG structure is most stable among the three nanostructures
When performing a direct dissociation scan, we observe no
transition states for the dissociation, and therefore, it can be
concluded that the formation process of 2graphene + Cr→
1-16 GMG is barrierless (spontaneous)
In the 1-16 intercalation structure (least Cr-concentrated),
we observe the strongest magnetization magnitude (total and
respectively) Such important magnetic behavior is, however, strongly related to the structural stability of 1-16 GMG (with a binding energy of almost twice the binding energy of 1-12 GMG) The spin-polarized states (up and down) in Cr 3d orbitals are observed to be largely different, as shown in Figure 9a, which suggests a strong ferromagnetism exhibited by the
1-16 GMG structure Further analysis of magnetism and chemical bonding is provided in Figure 9b as we plot the local DOS for
Cr 3dz2, 3dzx, 3dzyand C 2p orbitals Around the Fermi level, we see good overlapping of the Cr 3d and C 2p shells
Figure 8 (a) Total DOS for 1-12 GMG and the corresponding PDOS
for graphene 2p and Cr 3d orbitals (the Fermi level is positioned at 0
and indicated by a vertical line) In this plot, the up and
spin-down states are slightly different in distributions, which indicates a
weak ferromagnetism (b) Partial DOS for C 2pz, 2px, 2pyorbitals of
C, and 3dz2 , 3dzx, 3dzyorbitals of Cr in 1-12 GMG Note that the state
distribution of the Cr 3dzyorbital is exactly similar to that of the Cr
3dzxorbital, and C 2pxis exactly similar to C 2py The Fermi level is
positioned at 0.
Figure 9 (a) Total DOS for 1-16 GMG and the corresponding PDOS for graphene 2p and Cr 3d orbitals given by LSDA calculations (the Fermi level is positioned at 0 and indicated by a vertical line) The spin-up and spin-down states of Cr and graphene are largely different
in distributions, which results in a large total spin difference and indicates the strongest ferromagnetism (among the three investigated GMG structures) (b) Partial DOS for C 2pz, 2px, 2pyorbitals of C and 3dz2, 3dzx, 3dzyorbitals of Cr in 1-16 GMG The state distribution of the Cr 3dzyorbital is exactly similar to that of the Cr 3dzxorbital, and C 2p x is exactly similar to C 2p y The Fermi level is positioned at 0.
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Trang 9Furthermore, a large difference in distribution between spin-up
and spin-down can be conceived in the Cr 3dz2orbital (with a
contribution of 0.827μB/cell to the total magnetic moment) In
addition, we alsofind significant contributions from the Cr 3dxy
and 3dx2
−y 2 orbitals (0.492μB/cell in both cases), whereas the
3dzxand 3dzyhave less impacts (0.258μB/cell) The C 2pxand
2py orbitals have insignificant impacts on the total magnetic
moment In fact, the LDOS of C 2pxand 2pyorbitals indicate
that they are not involved in the bonding interaction between
Cr and graphene layers Importantly, considering the
contribution to total magnetization, we witness that the C
2pz orbitals result in a strong negative contribution in total
magnetization (by an amount of−0.446 μB/cell)
GMG nanostructure, the generalized-gradient
structure As a result, the total and absolute magnetizations are,
respectively, calculated as 1.98 and 3.05μB/cell When these
results are compared to previous results given by LSDA
calculations, we realize that the numerical differences are
insignificant, and consequently conclude that both LDA and
GGA calculations arrive at consistent results Furthermore, a
comparison of electronic structures resulting from the two
methods is made, and we concur that the electronic structures
from the two different calculations also share good agreement
For convenience, we present the total and absolute
magnetizations of the three GMG nanostructures in this
study in Table 2 Different orbital contributions (of C 2s, 2p
and Cr 3s, 3p, 3d, 4s, 4p shells) to total magnetic moments of
1-12 and 1-16 GMG nanostructures are computed and
presented in Table 3 It is expected from the spin-polarized
orbital analysis that the contributions from C 2px and 2py
should be equal From the summarized results, the most
Cr-concentrated and unstable intercalation structure (1-4 GMG)
has an intermediate magnetization, whereas the 1-12 GMG
structure exhibits the weakest magnetic behavior among the
three cases
V SUMMARY
In this study, we present a theoretical investigation of three
GMG intercalation nanostructures using a DFT approach with
LSDA treatments Three intercalated nanostructures are
classified by the atomic ratio of Cr per C on two graphene
sheets, and we accordingly denote those three structures as the
1-4, 1-12, and 1-16 GMG intercalation nanostructures (as indicated in Figure 2)
The equilibrium periodic molecular structures are optimized using local spin-density approximations (LSDA) as imple-mented in the Quantum Espresso package.15 At equilibrium, the bonding distances, stability, and magnetic properties are inspected, and we have observed some major differences among the nanostructures The 1-4 GMG nanostructure is found to be the least compressed structure in the z direction, and its corresponding binding energy is−0.090 eV/cell Therefore, we believe that this intercalation structure is energetically unstable
In fact, this statement is further implied when the dissociation energy of the coordination bond is investigated As two graphene sheets in 1-4 GMG are pulled away from the equilibrium position, we observe a transition state for dissociation at a distance of 2.420 Å with a calculated activation energy of 0.217 eV/cell When we further examine the 1-4 GGM structure with bilayer graphene stacked as in the natural graphite, a positive binding energy of 0.850 eV/cell is found, and we believe that this structure is more energetically favored than 1-4 GMG during experimental synthesis Furthermore, we find that 1-4 GGM exhibits no magnetism from the spin-polarized DOS analysis
The 1-12 GMG nanostructure is most compressed among the three GMG structures, whereas the 1-16 GMG nanostructure is less compressed than 1-12 GMG The binding energies of the 1-2 and 1-16 GMG nanostructures are 1.010 and 2.093 eV/cell, respectively, and it is suggested that the formations of these two structures are exothermic with stable products Examinations of 1-12 and 1-16 GGM indicate that they are less stable than 1-12 and 1-16 GMG, respectively; therefore, they would be less favorable during experimental synthesis
In the 1-12 GMG structure, Cr is also capable of assuming the B and T sites (B adsorption is quite more stable) The
subsequently investigated From the NEB optimizations,24 it
is suggested that the H−B and H−T migration barriers are 0.351 and 0.433 eV/cell, respectively
In nature, Cr metal is known to have spin-density-wave
behavior completely changes when we embed Cr in between two graphene layers According to the reported results, ferromagnetism behaviors are found for all three GMG structures For the most energetically stable structure (1-16 GMG nanostructure), the total and absolute magnetizations are found to be the highest (as shown in Table 2) From spin-polarized DOS analysis, orbital contributions in total magnetic moments are determined, and we conceive major contributions from the Cr 3dz2 orbitals in the stable 1-12 and 1-16 GMG nanostructures, while the other Cr 3d shells also contribute significantly The C 2pz orbitals, however, result in an antiferromagnetic alignment of graphene layers with respect
to the stronger ferromagnetic behavior of the Cr layer Hence,
Table 2 Total and Absolute Magnetizations of the 1-4, 1-12,
and 1-16 GMG Nanostructures
GMG intercalation
structure
total magnetization ( μ B /cell)
absolute magnetization ( μ B /cell)
Table 3 Main Orbital Contributions to Total Magnetic Moments in 1-12 and 1-16 GMG
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Trang 10the C 2pz orbitals cause negative effects and reduce total
magnetizations
In 1-16 GMG, the bond strength (from binding energy
calculations) is observed to be higher than that in 1-12 GMG
At the same time, from our DFT calculations, we also conceive
a greater Cr−graphene interlayer distance (as well as Cr−C
bond distance) in 1-16 GMG In addition, from the PDOS
analysis of polarized spin states in 1-16 GMG, we observe that
the Cr 3d shells receive more electron donation from graphene
2pz, which causes greater different distributions of spin-up and
spin-down in the partially filled 3d orbitals (i.e., 3dz2, 3dxy,
3dx2
−y 2) As a result, higher ferromagnetism is observed in 1-16
coordination bond Therefore, we conclude that there is a
strong relationship between structural stability (interpreted in
terms of binding energies), partiallyfilled states, and total (and
absolute) magnetic moments in the two stable nanostructures
(1-12 and 1-16 GMG)
Corresponding Author
*E-mail: hung.m.le@hotmail.com
Notes
The authors declare no competingfinancial interest
The authors thank the Vietnam Ministry of Science and
Technology (MOST) and Vietnam National University, Ho
Chi Minh City (VNU-HCM), for their support in this project
We acknowledge supercomputing assistance from the Institute
for Materials Research at Tohoku University, Japan We also
thank Prof Thoa T P Nguyen for her helpful discussions
during the initial stage of this research
(1) Geim, A K.; Novoselov, K S The Rise of Graphene Nat Mater.
2007, 6 (3), 183−191.
(2) Ghaemi, P.; Wilczek, F Near-Zero Modes in Superconducting
Graphene Phys Scr 2012, 2012 (T146), 014019.
(3) (a) Sargolzaei, M.; Gudarzi, F Magnetic Properties of Single 3d
Transition Metals Adsorbed on Graphene and Benzene: A Density
Functional Theory Study J Appl Phys 2011, 110 (6), 064303.
(b) Jishi, R A.; Guzman, D M.; Alyahyaei, H M Theoretical
Investigation of Two-Dimensional Superconductivity in Intercalated
Graphene Layers Adv Stud Theor Phys 2011, 5 (13-16), 703−716.
(c) Nakada, K.; Ishii, A Migration of Adatom Adsorption on
Graphene Using DFT Calculation Solid State Commun 2011, 151 (1),
13−16 (d) Avdoshenko, S M.; Ioffe, I N.; Cuniberti, G.; Dunsch, L.;
Popov, A A Organometallic Complexes of Graphene: Toward Atomic
Spintronics Using a Graphene Web ACS Nano 2011, 5 (12), 9939−
9949 (e) Giovannetti, G.; Khomyakov, P A.; Brocks, G.; Karpan, V.
M.; van den Brink, J.; Kelly, P J Doping Graphene with Metal
Contacts Phys Rev Lett 2008, 101 (2), 026803.
(4) Weser, M.; Rehder, Y.; Horn, K.; Sicot, M.; Fonin, M.;
Preobrajenski, A B.; Voloshina, E N.; Goering, E.; Dedkov, Y S.
Induced Magnetism of Carbon Atoms at the Graphene/Ni(111)
Interface Appl Phys Lett 2010, 96 (1), 012504.
(5) Muszynski, R.; Seger, B.; Kamat, P V Decorating Graphene
Sheets with Gold Nanoparticles J Phys Chem C 2008, 112 (14),
5263−5266.
(6) Hong, W.; Bai, H.; Xu, Y.; Yao, Z.; Gu, Z.; Shi, G Preparation of
Gold Nanoparticle/Graphene Composites with Controlled Weight
Contents and Their Application in Biosensors J Phys Chem C 2010,
114 (4), 1822−1826.
(7) Zan, R.; Bangert, U.; Ramasse, Q.; Novoselov, K S Metal− Graphene Interaction Studied via Atomic Resolution Scanning Transmission Electron Microscopy Nano Lett 2011, 11 (3), 1087− 1092.
(8) Wintterlin, J.; Bocquet, M L Graphene on Metal Surfaces Surf Sci 2009, 603 (10−12), 1841−1852.
(9) (a) Hohenberg, P.; Kohn, W Inhomogeneous Electron Gas Phys Rev 1964, 136 (3B), B864−B871 (b) Kohn, W.; Sham, L J Self-Consistent Equations Including Exchange and Correlation Effects Phys Rev 1965, 140 (4A), A1133−A1138.
(10) Sahni, V.; Bohnen, K P.; Harbola, M K Analysis of the Local-Density Approximation of Local-Density-Functional Theory Phys Rev A
1988, 37 (6), 1895−1907.
(11) Xu, Z.; Buehler, M J Interface Structure and Mechanics between Graphene and Metal Substrates: A First-Principles Study J Phys.: Condens Matter 2010, 22 (48), 485301.
(12) Smolyanitsky, A.; Tewary, V K Atomistic Simulation of a Graphene-Nanoribbon−Metal Interconnect J Phys.: Condens Matter
2011, 23 (35), 355006.
(13) Krasheninnikov, A V.; Lehtinen, P O.; Foster, A S.; Pyykko ̈, P.; Nieminen, R M Embedding Transition-Metal Atoms in Graphene: Structure, Bonding, and Magnetism Phys Rev Lett 2009, 102 (12), 126807.
(14) Maassen, J.; Ji, W.; Guo, H Graphene Spintronics: The Role of Ferromagnetic Electrodes Nano Lett 2010, 11 (1), 151−155 (15) Giannozzi, P.; Baroni, S.; Bonini, N.; Calandra, M.; Car, R.; Cavazzoni, C.; Ceresoli, D.; Chiarotti, G L.; Cococcioni, M.; Dabo, I.; Corso, A D.; de Gironcoli, S.; Fabris, S.; Fratesi, G.; Gebauer, R.; Gerstmann, U.; Gougoussis, C.; Kokalj, A.; Lazzeri, M.; Martin-Samos, L.; Marzari, N.; Mauri, F.; Mazzarello, R.; Paolini, S.; Pasquarello, A.; Paulatto, L.; Sbraccia, C.; Scandolo, S.; Sclauzero, G.; Seitsonen, A P.; Smogunov, A.; Umari, P.; Wentzcovitch, R M QUANTUM ESPRESSO: A Modular and Open-Source Software Project for Quantum Simulations of Materials J Phys.: Condens Matter 2009,
21 (39), 395502.
(16) (a) Perdew, J P.; Burke, K.; Ernzerhof, M Generalized Gradient Approximation Made Simple Phys Rev Lett 1996, 77 (18), 3865−
3868 (b) Perdew, J P.; Burke, K.; Ernzerhof, M Generalized Gradient Approximation Made Simple Phys Rev Lett 1996, 77, 3865;(c) Phys Rev Lett 1997, 78 (7), 1396−1396.
(17) (a) Vanderbilt, D Soft Self-Consistent Pseudopotentials in a Generalized Eigenvalue Formalism Phys Rev B 1990, 41 (11), 7892−
7895 (b) Dal Corso, A Density-Functional Perturbation Theory with Ultrasoft Pseudopotentials Phys Rev B 2001, 64 (23), 235118 (18) Perdew, J P.; Ruzsinszky, A.; Tao, J.; Staroverov, V N.; Scuseria, G E.; Csonka, G I Prescription for the Design and Selection
of Density Functional Approximations: More Constraint Satisfaction with Fewer Fits J Chem Phys 2005, 123 (6), 062201.
(19) Shanno, D F An Example of Numerical Nonconvergence of a Variable-Metric Method J Optim Theory Appl 1985, 46 (1), 87−94 (20) Fawcett, E Spin-Density-Wave Antiferromagnetism in Chro-mium Rev Mod Phys 1988, 60 (1), 209−283.
(21) Banhart, F.; Kotakoski, J.; Krasheninnikov, A V Structural Defects in Graphene ACS Nano 2010, 5 (1), 26−41.
(22) Oostinga, J B.; Heersche, H B.; Liu, X.; Morpurgo, A F.; Vandersypen, L M K Gate-Induced Insulating State in Bilayer Graphene Devices Nat Mater 2008, 7 (2), 151−157.
(23) Seyferth, D Bis(benzene)chromium 1 Franz Hein at the University of Leipzig and Harold Zeiss and Minoru Tsutsui at Yale Organometallics 2002, 21 (8), 1520−1530.
(24) (a) Henkelman, G.; Jonsson, H Improved Tangent Estimate in the Nudged Elastic Band Method for Finding Minimum Energy Paths and Saddle Points J Chem Phys 2000, 113 (22), 9978−9985 (b) Sheppard, D.; Terrell, R.; Henkelman, G Optimization Methods for Finding Minimum Energy Paths J Chem Phys 2008, 128 (13), 134106.
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