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Article

Effect of Graphene on Nickel Surface Relaxation: Molecular Dynamics Simulation

1
Department of Physical Materials Science and Heat Treatment, Igor Sikorsky Kyiv Polytechnic Institute, National Technical University of Ukraine, Prospect Beresteiskyi 37, 03056 Kyiv, Ukraine
2
Department of Materials Science and Engineering, University of California Los Angeles, 2121K-Engineering 5, 420 Westwood Plaza, Los Angeles, CA 90095-1595, USA
*
Author to whom correspondence should be addressed.
Lubricants 2023, 11(9), 405; https://doi.org/10.3390/lubricants11090405
Submission received: 19 August 2023 / Revised: 6 September 2023 / Accepted: 14 September 2023 / Published: 16 September 2023
(This article belongs to the Special Issue Friction and Wear on the Atomic Scale)

Abstract

:
The effect of graphene (GR) on Ni surface relaxation and reconstruction in three different substrate orientations, {111}, {001}, and {011}, at two different temperatures, 300 K and 400 K, was studied using molecular dynamics simulation. The change in the interplanar distances of the substrate and redistribution of Ni and C atoms in a direction perpendicular to the surface was compared with the equilibrium state of GR and bulk Ni, in the absence of the counterpart. The surface reconstruction for the GR/Ni system was analyzed based on the calculated radial pair distribution functions of Ni and C atoms. The surface roughness was visualized using 2D atomic distribution maps. The introduction of GR on the Ni surface in any crystallographic orientation decreases the maximum modification of interplanar spacing compared to the bulk by less than 1%. For the studied substrate orientations and temperatures, it was found that the most densely packed {111} orientation of the Ni base provides minimal changes in the structural parameters of both counterparts at 400 K. Additionally, the system formed by GR deposition on Ni {111} at 400 K is characterized by the least roughness.

1. Introduction

Graphene (GR) is a favorable material for various applications due to the combination of its unique properties. In particular, high thermal (up to 5300 W/mK) [1,2] and electrical conductivity (~106 S/m) [3], as well as high (97.7%) transmittance for a broad spectrum of solar radiation [4], makes GR application feasible for translucent and flexible electrodes that can be used in solar cell technologies [5]. Ideally, the solar cell electrode should demonstrate high transparency, low electrical resistance, chemical stability, and low surface roughness and provide all these at a reasonable cost [6]. Thus, intensive research to develop materials that meet these requirements is being carried out on carbon nanotubes [7], conductive polymers [8], metallic nanowires [9], metallic meshes [10], spintronic devices [11], etc. However, GR has the best chance of outperforming in such applications. It has recently been shown that due to the outstanding chemical stability of GR, its introduction into the perovskite solar cell can improve the functional characteristics and stability of the device [12]. In addition, due to the high conductivity of GR, its addition to the front electrodes of commercially used solar cells on the base of indium-tin-oxide [13] and fluorine-doped-tin-oxide [14] provides significant enhancement of the device performance. Numerous studies have recently been published on the incorporation of GR in solar cells. For instance, a semitransparent perovskite solar cell with a multilayer GR applied to the top electrode has been proposed [15]. GR monolayers can also be incorporated into flexible perovskite solar cells [16]. Furthermore, the combination of GR and transversely stacked carbon nanotubes may be used as the front and rear electrodes of a flexible perovskite solar cell [17].
However, GR synthesis or deposition on top of a metal substrate remains a challenging task, especially for some technology-relevant metals [18]. In this respect, GR surface morphology is mostly defined by the ratio of adsorption energy to the bulk cohesive energy of the substrate. When this ratio is lower, larger uniform GR islets can be formed on the metal surface [19]. Thus, a high-quality GR layer is generally easier to obtain on the Cu substrate due to the extremely low solubility of carbon in Cu (~7 × 10−6% at 1200 K) [20]. This limited solubility causes very low adsorption energy, which provides a relatively large GR island growth and ultimately allows a monolayer of GR to be produced and separated from the substrate [21]. However, a lattice mismatch of ~10% between GR and Cu leads to some GR surface deformation and buckling [22]. It has been reported [23] that the smaller lattice mismatch may be achieved by using the substrate of a Cu/Ni alloy for large-scale GR synthesis. Other substrate metals such as Au [24] and Ag [25] also demonstrate low adsorption and restrained mutual solubility with carbon, making them promising for single-layer GR production. Yet, these noble metals are of high cost, which limits their technological relevance. In turn, Ni provides strong interaction [26] and good lattice matching [27] with GR. However, GR deposited on top of Ni can lead to specific relaxation and structure modifications of the near-surface layers of the substrate [28]. This inevitably modifies the functional properties of both materials and ultimately the solar cell device, which incorporates them. The free surface of a metal is generally accepted as a 2D crystal structure defect where the structure of the near-surface regions can be significantly different compared to the bulk. Application of GR to the free surface of the metal can significantly modify its 2D defect properties, which can be classified as surface relaxation and surface reconstruction.
In the present paper, we report the results of a molecular dynamics simulation study of the surface structure modification of Ni induced by GR. Simulation was performed for the three most closely packed crystal orientations of a Ni substrate {111}, {001}, and {011} at two different temperatures that cover the operation temperature range of a solar cell: 300 K and 400 K. These crystal orientations were chosen due to the fact that for orientations with lower packing density, the reconstruction of surface layers is similar to one of the mentioned above closely packed orientations.

2. Simulation Procedure

The classical molecular dynamics approach was used in this study for the simulation of Ni surface modification by numerically solving Newton’s motion equations for a system of interacting particles. Forces between the particles and their potential energies were calculated using interatomic potentials for the Ni-C system [29]. The LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) software was used to conduct the simulation [30]. Equilibrium lattice parameters and coefficients of linear thermal expansion of Ni and GR were calculated to check the accuracy of applied interatomic potential. This simulation was conducted for a defect-free atomic cell, using periodic boundary conditions in all directions. Equilibrium values of the lattice constants were determined as parameters corresponding to zero stresses of the system, while thermal expansion coefficients were calculated taking into account the average distance between neighboring atoms, not considering changes in the lattice parameters. The selected potential is considered to be appropriate in this study, which is confirmed by less than 0.4% discrepancy between simulated and reference data shown in Table 1.
Simulation calibration and system stress analysis determine that the free surface introduces a stress source in Ni that gradually disappears at a distance of five lattice periods. Therefore, the simulation cell contains a GR monolayer, six lattice periods of an “active” Ni, and four lattice periods of a “frozen” Ni (Figure 1). The “active” Ni layer consists of atoms that can move during the simulation process, while the “frozen” Ni layer is composed of atoms that are strictly fixed in their equilibrium positions. The “frozen” area was introduced in order to mitigate the influence of the free surface at the bottom of the simulation cell. The boundaries of the cell are fixed along the Z-axis without periodic conditions, providing free surfaces at the bottom and top of the cell. Born–von Karman boundary conditions were applied along the X- and Y-axes. The size of this area was selected to be higher compared to the cut-off radius corresponding to the interatomic potential influence range. Generally, a simulation cell was chosen with the highest possible crystal structure matching between GR and Ni.
The simulation time step of 10−15 s was selected to make sure that force and atomic positions do not change too rapidly, which was done in order to negate system instability during the simulation process due to atoms overshooting in the direction of applied force.

3. Results

3.1. Surface Relaxation of Ni of Various Orientations with and without GR Layer

The equilibrium position of an individual atom in an ideal infinite crystal is determined by the acting forces from all other atoms in the crystal, resulting in a periodic structure. Laminating the surface with another material alters these forces, affecting the equilibrium positions of the remaining atoms. This changes the spacing and/or symmetry of the “active” layer of atoms compared to the bulk and forms a different surface structure. These modifications in the equilibrium positions of near-surface atoms can be categorized as either a relaxation or a reconstruction. Surface relaxation is characterized by the change in interplanar spacing Δd.
The simulation results of Ni relaxation in various crystal orientations at 300 K and 400 K are given in the form of relative interplanar spacing change compared to the equilibrium bulk values (Figure 2). The selected crystal orientations of Ni were evaluated by the packing density mismatch with GR and are presented in Figure 2 in the order from smallest to largest (top-to-bottom): {111}, {001}, {011}. It is important to note that interplanar spacing modification of less than 0.5% (Figure 2) could be considered as a temporary result of atom thermal fluctuations and were not taken into account for the surface relaxation analysis.
The {111} orientation provides the most densely packed surface plane in the face-centered cubic lattice. The packing density of this plane for Ni under normal conditions of room temperature and atmospheric pressure is 1.864 × 10−19 atoms/m2 [35]. For ease of analysis, the packing density in all other orientations was correlated with respect to the {111} orientation. The corresponding values were 1, 0.866, and 0.612 for the {111}, {001}, and {011} planes, respectively.
Ni {111}. The calculated equilibrium values of the interplanar spacing for the Ni {111} orientation in the bulk are db300 = 2.041 ± 0.001 Å and db400 = 2.043 ± 0.001 Å at 300 K and 400 K, respectively. These are consistent with previously reported data [26]. The interplanar (dij) distances calculated using the molecular dynamics approach were compared with the db one: Δdij = (db − dij)/db. The i and j indexes in this notation correspond to the number of the atomic layers/planes counting from the surface; for example, d12 is a spacing between the first and second atomic planes (Figure 3).
The largest absolute interplanar spacing modifications were observed between the first and second planes: d12300 = 2.014 ± 0.001 Å and d12400 = 2.016 ± 0.001 Å at 300 K and 400 K, respectively. For the first interplanar spacing (d12), a modification of ~ −1.3% was observed for Ni without GR at both temperatures, as can be seen in Figure 2. The negative value of the spacing modification corresponds to the lattice compression. At 300 K, the relative relaxation Δd12 changes from −1.29% to −0.13%, and Δd23 changes from 0.38% to −0.59% in the presence of GR on top of Ni. At 400 K, the presence of GR almost completely eliminates the influence of the free surface, making interplanar spacing changes not exceeding 0.1%. As a consequence, it can be assumed that on Ni {111}, GR behaves like a missing Ni surface layer, negating overall surface relaxation.
Ni {001}. The calculated equilibrium values of interplanar spacing in the bulk in this orientation are db300 = 1.767 ± 0.001 Å and db400 = 1.769 ± 0.001 Å at 300 K and 400 K, correspondingly, which is also consistent with the previously reported data [36]. At 300 K, modification (Δd = −1.61%) is observed only for the first interplanar spacing from the Ni surface (Figure 3), giving an absolute calculated value of d12300 = 1.7388 Å. An increase in the temperature up to 400 K leads to even more pronounced lattice compression (Δd = −1.99%). Compression of −2.7% was previously reported for this surface orientation, where it was experimentally measured using slow electron diffraction [26].
The presence of GR on top of Ni {001} leads to significant changes in the surface relaxation: the modification of d12300 and d12400 interplanar spacings decreases down to −0.78% and −0.85%, respectively.
Ni {011}. Compared to the {111} and {001} orientations, {011} has the lowest packing density, making bulk interplanar spacings of db300 = 1.250 ± 0.001 Å and db400 = 1.251 ± 0.001 Å at 300 K and 400 K, correspondingly. Significant modification of the interplanar distance between the first two atomic planes counting from the surface was registered for this Ni orientation as well. The corresponding calculated values are d12300 = −5.4% and d12400 = −4.4%. Significant compression (−4.8 ± 1.7%) between the first two atomic layers of Ni in this direction was also measured experimentally at room temperature and previously reported [37].
The addition of GR slightly changes the surface relaxation. The modification of the first interplanar spacing decreases down to −4.1%, again suggesting compression. In contrast, in the case of the second distance d23, it increases to 1.48% and 2% at 300 K and 400 K, respectively, meaning expansion.
As already mentioned, the maximum value of interplanar spacing modification was registered for all orientations in question for the d12, which is the first spacing from the surface. Relaxation has no impact on more than two first atomic layers of Ni. In addition, it was found that the maximum modification depends on the packing density of the plane, ranging from −1.3% for Ni {111} (the highest packing density) to −5.4% for Ni {011} (the lowest packing density) (Figure 4).
Additionally, it was found that the temperature increase from 300 K to 400 K does not significantly affect the surface relaxation.
Finally, it was shown that GR addition lowers the influence of the free surface regardless of the temperature: the maximum value of interplanar spacing modification decreases by approximately 1% as a result of GR presence. The Ni {111} plane laminated by GR reveals the smallest deviations from the bulk structure and has the smallest surface modification due to the best lattice matching, especially at 400 K.

3.2. Surface Reconstruction

Surface reconstruction is a process that changes the position of surface atoms from their equilibrium state, typical of the bulk, which is accompanied by the formation of a structure that differs from the bulk in periodicity and/or type of symmetry. The presence of GR on the metal surface can significantly modify reconstruction by altering both counterparts at the near-surface region. To analyze the result of such a change, the radial pair distribution function (RPDF), the rearrangement of atoms in a direction normal to the surface, and the 2D maps of atom reconstruction were plotted and evaluated.
Simulation results suggest that there is no surface reconstruction of Ni in the {001}, {011}, and {111} orientations before the introduction of GR. In this case, only relaxation processes were registered. However, Ni reconstruction of the upper first atomic plane and GR occurs in addition to the relaxation process, in the presence of GR. Details of these processes are given below.

3.2.1. GR Reconstruction

Structural changes of GR after its deposition on Ni in different orientations were compared to its standing-alone equilibrium state. Thus, GR structure simulation was first performed without Ni at 300 K and 400 K.
The RPDF, g(r), describes the probability of finding two atoms at distance r from each other. In this event, the first peak of the g(r) plot characterizes a short-range ordering, and its position corresponds to an average distance between the nearest atoms. The intensity of the second and other RPDF peaks allows for tracking the long-range ordering, while a change in these peaks’ positions represents structure deformation of the top plane in the considered orientation.
Results of the GR structure simulation suggest that distance r between C atoms is equal to r(C-C) = 1.4179 ± 0.0005 Å (Figure 5a). This distance increases by 0.5–0.6% after GR deposition onto Ni in the {001}, {011}, and {111} orientations (Figure 5b–d). The second and the following RPDF peak analysis implies GR expansion of more than 0.2% in the case of the {111} orientation and less than 0.1% in the case of {001} and {011}.
Thus, the average distance between C atoms in the deposited GR changes is 3–5 times higher compared to the expansion of the GR layer itself. This effect can be explained by the increased displacement of C atoms in a direction perpendicular to the surface. The range of C atom positions in this direction is characterized by the ∆lC parameter. Analysis of atom distribution in the direction perpendicular to the surface allowed us to determine the values: ∆lC(Ni {111}) = 1.4 ± 0.05 Å, ∆lC(Ni {001}) = 0.75 ± 0.05 Å, and ∆lC(Ni {011}) = 0.9 ± 0.05 Å for Ni orientations {111}, {001}, and {011}, respectively. These values are 2–3 times larger compared to the GR in an equilibrium state. C atoms occupy some preferred positions with different distances to the Ni surface, which are schematically illustrated in Figure 3 as l11 and l12. This projection is confirmed by the character of the C peaks in Figure 6. For instance, the presence of the shoulders in Figure 6a,b and in Figure 6e,f and the doubling of peaks in Figure 6d are clear evidence for making such an account.
A temperature increase from 300 K to 400 K does not have a pronounced effect on the GR reconstruction.
Such inhomogeneous distribution of C atoms in a direction perpendicular to the surface causes a specific surface relief. The character of this relief is determined by the orientation of the Ni substrate used for GR application. This relief can be shown in 2D maps reflecting the atomic displacement perpendicular to the surface, where the displacement is color-coded (Figure 7).
If the crystal symmetry of the uppermost Ni layer and GR matches well, the 2D maps reveal clear periodicity, i.e., the frequency of the areas limited by the same height of atom positions (Figure 7a,b). The extent of this periodicity is about 20–25 atomic periods of Ni. If there is no symmetry match, the periodicity is less pronounced and reflected by the strips with a width of 4–5 Ni periods (Figure 7c–f).
The surface roughness of GR laminated systems can affect numerous functional properties [38,39]. That is why the following parameters were analyzed here: Ra—an arithmetic mean deviation of the C atom positions from the average height value; Rmax—a maximum relief height, e.g., the difference between the maximum and minimum height of atom positions; S—an average distance between relief irregularities. It is worth noting that the integral surface roughness depends on both the height deviation and distance parameters of the surface relief; for instance, the lowest roughness corresponds to the minimal Ra and Rmax values and maximal S. Therefore, the integral S/Ra ratio was used for comparative surface relief analysis; a higher S/Ra value corresponds to lower surface roughness.
The calculated surface roughness parameters of GR/Ni systems for different substrate orientations and temperatures are summarized in Table 2. The Ni {111} laminated with GR is characterized by maximum height difference (Ra and Rmax parameters) and distance between relief irregularities (S parameter) compared to the other two orientations.
Figure 8 shows the dependence of the S/Ra parameter on the relative packing density of the Ni. At 300 K, the lowest roughness was found for the Ni {111} orientation, showing the maximum packing density of the surface layer. A temperature increase up to 400 K leads to the roughness decrease of the GR/Ni {111} system, giving the highest S/Ra ratio among all cases. This effect is not observed for the other two studied orientations.

3.2.2. Ni Reconstruction

Surface reconstruction of Ni is only observed in the presence of GR and only for the first atomic layer from the Ni surface. The RPDF provides summarized data on the structure of this Ni layer (Figure 9). In turn, structural changes in the normal direction to the surface can be tailed from Figure 6.
As follows from the analysis of the RPDF first peak position (Figure 9), an average distance between Ni atoms decreases by 0.5%, 0.6%, and 1% for the {111}, {001}, and {011} substrate orientations, respectively. According to other RPDF peak positions, the structure of the whole reconstructed Ni layer compacts not more than 0.5% after GR deposition onto the {111} plane. There are no relative changes for the other planes (registered changes are less than 0.1%). It should also be noted that the slight shift of Ni atoms toward the nearest C atoms shown with a dotted line in Figure 9 is taking place in the presence of GR.
The character of atomic distribution in the direction perpendicular to the surface (Figure 6) suggests that after lamination with GR, Ni atoms change their positions in the first atomic plane increasing the thickness of this layer by 79%, 62%, and 42% for the {111}, {001}, and {011} substrate orientations, respectively (Figure 10). Thus, an increase in the plane relative packing density leads to an increase in the width of the first layer from the surface. This can be explained by the fact that for densely packed crystalline planes, atoms have more freedom to displace from their regular positions in an out-of-plane direction (perpendicular to the surface) than in-plane. Surface relief formed at various substrate orientations is shown in Figure 6a,c,e.
A temperature increase from 300 K up to 400 K for the GR/Ni system leads to a lower variation of the thickness of the Ni upper layer and a smaller deviation of the average distance between its atoms (Figure 10). The change in the Ni upper layer thickness is lowered by ~30% for 400 K compared to 300 K for all studied substrate orientations. Modification of the average distance between Ni atoms is also lowered by 0.2–0.4% by the absolute value. This implies a higher stability of the GR/Ni system at a higher temperature. Most likely, such an improvement is a result of the thermal expansion effect, since GR has a lower coefficient of thermal expansion compared to Ni (Table 1). The Ni {111} orientation provides almost perfect matching between GR and metal lattice parameters at 400 K. Therefore, such conditions can be considered perfect for lamination with GR.

4. Discussion

A few words can be said about the implication of the simulation results presented here. It appears that the Ni surface in the {111} orientation provides the best conditions for GR deposition with the temperature of substrate close to 400 K. The structure of the substrate in this orientation is most close to the GR. As can be seen, the surface structure of Ni is restored after GR deposition in all studied cases; that is, the impact of the free surface of Ni decreases in the presence of GR. It suggests that for the GR/Ni system, the properties of Ni near-surface layers are closer to its bulk. Another implication of this simulation is the prediction of the surface roughness. It is well accepted that the oxidation of the metallic surface strongly depends on its morphology [40]. In turn, GR shows great potential for the corrosion resistance of metals (Me) [41]. Thus, it is very important to pay attention to the link between the structure of the GR/Me interface and corrosion resistance [12]. Various structure defects such as wrinkles, folds, and atomic defects lead to an interface roughness increase with the following insertion of oxygen and water molecules from the environment. Thus, GR deformation, warpage, and even the enfoldment of graphene sheets will affect corrosion properties. From this point of view, the considered integral parameter S/Ra allows us to analyze the roughness of metallic surfaces at different orientations and, thus, to predict their corrosion resistance. For instance, this parameter differs 8.5 times for the Ni {111} and {011} orientations at 400 K. However, calculated roughness values are quite small suggesting that GR could provide stable corrosion protection in all considered cases. Sufficient enhancement of the corrosion characteristics of the GR/Ni system compared to free Ni could be predicted as well. Of course, this simulation presents an ideal case of GR deposition on a Ni single crystal defect-free surface. Defects of both Ni (vacancies, grain boundaries, triple junctions, etc.) and GR (multilayer structure, GR sheets’ island size and their boundaries, impurities) can modify the outcome. It can be noted that in the case of polycrystalline Ni, the considered {111}, {011}, and {001} orientations are most probable for surface formation due to the highest packing density. As was shown by preliminary calculations, the structure of the planes with less packing density will transform into a cluster type, where each cluster approximately represents the three most packed planes. It means that for the simulation of a Ni polycrystalline structure, it is necessary to average the characteristics of the three different substrate orientations {111}, {011}, and {001}, taking into account some deviations in the areas when grain boundaries come to the surface.

5. Conclusions

Relaxation and reconstruction of the Ni surface in the {111}, {001}, and {011} orientations with and without GR lamination at 300 K and 400 K were analyzed using molecular dynamic simulation. The simulation results show that in the presence of GR, a higher packing density of substrate suppresses the structure modification in the plane with the surface but allows the change in direction perpendicular to the surface. It was found that the substrate in the {111} orientation provides the highest structural and thermal stability of the GR/Ni system. Relaxation becomes more pronounced when the orientation of the substrate changes according to the sequence {111} → {001} → {011}; as such, the maximum modification of the interplanar distance increases from 1% to 6%. Deposition of GR on the Ni substrate in any orientation lowers the maximum interplanar distance change compared to the bulk by less than ~1%. It was found that 400 K is the most suitable temperature for GR deposition on Ni since it provides minimum structure changes. At this temperature, the reconstruction of GR is taking place at all studied orientations of the Ni substrate, which is manifested in the expansion of GR layers up to 0.2% with an increase in the average interatomic distance of up to 0.6% compared to the equilibrium state of GR. The crystallographic orientation of the Ni substrate and temperature predetermine the surface roughness of the GR/Ni system. The system formed by GR deposition on Ni {111} at 400 K is characterized by the least roughness.

Author Contributions

S.K.: Simulation, Writing—original draft; V.Y.: Simulation, Writing—review; I.K.: Visualization, Formal analysis; A.O.: Calculated roughness parameters; S.S.: Issues, Conclusions; I.V.: Writing—review and editing; S.P.: Conceptualization, Supervision, Writing—review and editing; S.V.: Conceptualization, Supervision, Writing—discussion. All authors have read and agreed to the published version of the manuscript.

Funding

This publication is based on work supported by grant #G-202108-68019 from the U.S. Civilian Research & Development Foundation (CRDF Global). Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of CRDF Global.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

GRgraphene
CLTEcoefficients of linear thermal expansion
2Dtwo-dimensional
RPDFradial pair distribution function
LAMMPSLarge-scale Atomic/Molecular Massively Parallel Simulator

References

  1. Balandin, A.A.; Ghosh, S.; Bao, W.; Calizo, I.; Teweldebrhan, D.; Miao, F.; Lau, C.N. Superior Thermal Conductivity of Single-Layer Graphene. Nano Lett. 2008, 8, 902–907. [Google Scholar] [CrossRef] [PubMed]
  2. Chen, S.; Moore, A.L.; Cai, W.; Suk, J.W.; An, J.; Mishra, C.; Amos, C.; Magnuson, C.W.; Kang, J.; Shi, L.; et al. Raman Measurements of Thermal Transport in Suspended Monolayer Graphene of Variable Sizes in Vacuum and Gaseous Environments. ACS Nano 2011, 5, 321–328. [Google Scholar] [CrossRef] [PubMed]
  3. Lim, S.; Park, H.; Yamamoto, G.; Lee, C.; Suk, J.W. Measurements of the Electrical Conductivity of Monolayer Graphene Flakes Using Conductive Atomic Force Microscopy. Nanomaterials 2021, 11, 2575. [Google Scholar] [CrossRef]
  4. Fernández, S.; Molinero, A.; Sanz, D.; González, J.P.; de la Cruz, M.; Gandía, J.J.; Cárabe, J. Graphene-Based Contacts for Optoelectronic Devices. Micromachines 2020, 11, 919. [Google Scholar] [CrossRef]
  5. Deshmukh, M.A.; Park, S.-J.; Hedau, B.S.; Ha, T.-J. Recent progress in solar cells based on carbon nanomaterials. J. Sol. Energy 2021, 220, 953–990. [Google Scholar] [CrossRef]
  6. Aepuru, R.; Aleksandrova, M.; Rao, C.N.; Sahare, S.; Savariraj, A.D.; Mangalaraja, R.V. Chapter 19—Transparent conducting electrode materials for solar cell technologies. In Green Sustainable Process for Chemical and Environmental Engineering and Science. Solid State Synthetic Methods; Boddula, I.R., Asiri, A.M., Rahman, M.M., Eds.; Elsevier: Amsterdam, The Netherlands, 2021; pp. 377–407. ISBN 9780128197202. [Google Scholar] [CrossRef]
  7. Muchuweni, E.; Mombeshora, E.T.; Martincigh, B.S.; Nyamori, V.O. Recent Applications of Carbon Nanotubes in Organic Solar Cells. Front. Chem. 2022, 9, 733552. [Google Scholar] [CrossRef]
  8. Akhtaruzzaman, M.; Selvanathan, V.; Shahiduzzaman, M.; Hossain, M.I. Chapter 4—Introduction to organic-inorganic hybrid solar cells. In Comprehensive Guide on Organic and Inorganic Solar Cells: Fundamental Concepts to Fabrication Methods; Akhtaruzzaman, M., Selvanathan, V., Eds.; Academic Press: Cambridge, MA, USA, 2022; pp. 187–193. ISBN 9780323855297. [Google Scholar] [CrossRef]
  9. Chen, R.; Das, S.R.; Jeong, C.; Khan, M.R.; Janes, D.B.; Alam, M.A. Co-percolating graphene-wrapped nilver nanowire network for High performance, highly stable, transparent conducting electrodes. Adv. Funct. Mater. 2013, 23, 5150–5158. [Google Scholar] [CrossRef]
  10. Kruhlov, I.; Orlov, A.; Zakiev, V.; Zakiev, I.; Prikhodko, S.; Voloshko, S. Multi-layered thin-film metal contacts for new generation solar cells. In Proceedings of the TMS 2022 151st Annual Meeting & Exhibition Supplemental Proceedings, Anaheim, CA, USA, 27 February–3 March 2022; The Minerals, Metals & Materials Series. Springer: Cham, Switzerland, 2022; pp. 431–441. [Google Scholar] [CrossRef]
  11. Afzal, A.M.; Khan, M.F.; Nazir, G.; Dastgeer, G.; Aftab, S.; Akhtar, I.; Seo, Y.; Eom, J. Gate Modulation of the Spin-orbit Interaction in Bilayer Graphene Encapsulated by WS2 films. Sci. Rep. 2018, 8, 3412. [Google Scholar] [CrossRef]
  12. Ding, J.; Zhao, H.; Wang, G.; Wang, J.; Zhu, J. Interface modulations of high-performance graphene anticorrosion coatings. Prog. Org. Coat. 2023, 178, 107463. [Google Scholar] [CrossRef]
  13. Al-Kuhaili, M.F. Electrical conductivity enhancement of indium tin oxide (ITO) thin films reactively sputtered in a hydrogen plasma. J. Mater. Sci. Mater. Electron. 2020, 31, 2729–2740. [Google Scholar] [CrossRef]
  14. Way, A.; Luke, J.; Evans, A.D.; Li, Z.; Kim, J.-S.; Durrant, J.R.; Lee, H.K.H.; Tsoi, W.C. Fluorine doped tin oxide as an alternative of indium tin oxide for bottom electrode of semi-transparent organic photovoltaic devices. AIP Adv. 2019, 9, 085220. [Google Scholar] [CrossRef]
  15. You, P.; Liu, Z.; Tai, Q.; Liu, S.; Yan, F. Efficient Semitransparent Perovskite Solar Cells with Graphene Electrodes. Adv. Mater. 2015, 27, 3632–3638. [Google Scholar] [CrossRef] [PubMed]
  16. Yoon, J.; Sung, H.; Lee, G.; Cho, W.; Ahn, N.; Jung, H.S.; Choi, M. Superflexible, high-efficiency perovskite solar cells utilizing graphene electrodes: Towards future foldable power sources. Energy Environ. Sci. 2017, 10, 337–345. [Google Scholar] [CrossRef]
  17. Luo, Q.; Ma, H.; Hou, Q.; Li, Y.; Ren, J.; Dai, X.; Yao, Z.; Zhou, Y.; Xiang, L.; Du, H.; et al. All-Carbon-Electrode-Based Endurable Flexible Perovskite Solar Cells. Adv. Funct. Mater. 2018, 28, 1706777. [Google Scholar] [CrossRef]
  18. Iqbal, M.Z.; Rehman, A.-U. Recent progress in graphene incorporated solar cell devices. Sol. Energy 2018, 169, 634–647. [Google Scholar] [CrossRef]
  19. Liu, X.; Wang, C.-Z.; Hupalo, M.; Lin, H.-Q.; Ho, K.-M.; Tringides, M.C. Metals on Graphene: Interactions, Growth Morphology, and Thermal Stability. Crystals 2013, 3, 79–111. [Google Scholar] [CrossRef]
  20. Yang, R.; Goethel, P.; Schwartz, J.; Lund, C. Solubility and diffusivity of carbon in metals. J. Catal. 1990, 122, 206–210. [Google Scholar] [CrossRef]
  21. Chung, T.F.; Shen, T.; Cao, H.; Jauregui, L.A.; Wu, W.; Yu, Q.; Newell, D.; Chen, Y.P.; Demirbaş, T. Synthetic graphene grown by chemical vapor deposition on copper foils. Int. J. Mod. Phys. B 2013, 27, 1341002. [Google Scholar] [CrossRef]
  22. Cho, J.; Gao, L.; Tian, J.; Cao, H.; Wu, W.; Yu, Q.; Yitamben, E.N.; Fisher, B.; Guest, J.R.; Chen, Y.P.; et al. Atomic-Scale Investigation of Graphene Grown on Cu Foil and the Effects of Thermal Annealing. ACS Nano 2011, 5, 3607–3613. [Google Scholar] [CrossRef]
  23. Huang, M.; Ruoff, R.S. Growth of Single-Layer and Multilayer Graphene on Cu/Ni Alloy Substrates. Acc. Chem. Res. 2020, 53, 800–811. [Google Scholar] [CrossRef]
  24. Patel, C.R.P.; Awasthi, K.; Yadav, T.P. Selective growth of uniform graphene films on metallic (Cu and Au) substrates. J. Int. Acad. Phys. Sci. 2022, 26, 175–184. Available online: https://www.iaps.org.in/journal/index.php/journaliaps/article/view/940 (accessed on 18 August 2023).
  25. Kiraly, B.; Iski, E.V.; Mannix, A.J.; Fisher, B.L.; Hersam, M.C.; Guisinger, N.P. Solid-source growth and atomic-scale characterization of graphene on Ag(111). Nat. Commun. 2013, 4, 2804. [Google Scholar] [CrossRef]
  26. Cheianov, V.V.; Fal’ko, V.I. Selective transmission of Dirac electrons and ballistic magnetoresistance of N−P junctions in graphene. Phys. Rev. B 2006, 74, 041403. [Google Scholar] [CrossRef]
  27. 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, 026803. [Google Scholar] [CrossRef]
  28. Dahal, A.; Batzill, M. Graphene–nickel interfaces: A review. Nanoscale 2014, 6, 2548. [Google Scholar] [CrossRef] [PubMed]
  29. Xiao, W.; Baskes, M.; Cho, K. MEAM study of carbon atom interaction with Ni nano particle. Surf. Sci. 2009, 603, 1985–1998. [Google Scholar] [CrossRef]
  30. LAMMPS Molecular Dynamics Simulator. Available online: www.lammps.org (accessed on 17 August 2023).
  31. Kittel, C. Introduction to Solid State Physics; Wiley India Pvt Ltd.: Hoboken, NJ, USA, 2012; ISBN 109788126535187. [Google Scholar]
  32. Rankin, D. CRC handbook of chemistry and physics, 89th edition, edited by David R. Lide. Crystallogr. Rev. 2009, 15, 223–224. [Google Scholar] [CrossRef]
  33. Barron, T.H.K.; White, G.K. Heat Capacity and Thermal Expansion at Low Temperatures; Springer: New York, NY, USA, 1999; ISBN 978-0-306-46198-9. [Google Scholar] [CrossRef]
  34. Yang, G.; Li, L.; Lee, W.B.; Ng, M.C. Structure of graphene and its disorders: A review. Sci. Technol. Adv. Mater. 2018, 19, 613–648. [Google Scholar] [CrossRef]
  35. Engelmann, Y.; Bogaerts, A.; Neyts, E.C. Thermodynamics at the nanoscale: Phase diagrams of nickel–carbon nanoclusters and equilibrium constants for phase transitions. Nanoscale 2014, 6, 11981–11987. [Google Scholar] [CrossRef]
  36. Frenken, J.; Smeenk, R.; van der Veen, J. Static and dynamic displacements of nickel atoms in clean and oxygen covered Ni(001) surfaces. Surf. Sci. 1983, 135, 147–163. [Google Scholar] [CrossRef]
  37. Feidenhans’L, R.; Sørensen, J.; Stensgaard, I. Surface relaxation of Ni(110) investigated by high energy ion scattering. Surf. Sci. 1983, 134, 329–337. [Google Scholar] [CrossRef]
  38. Manasoglu, G.; Celen, R.; Akgun, M.; Kanik, M. The Effect of Graphene Coating on Surface Roughness and Friction Properties of Polyester Fabrics. Mater. Sci. 2021, 27, 470–476. [Google Scholar] [CrossRef]
  39. Kumar, H.G.P.; Xavior, M.A. Effect of graphene addition and tribological performance of Al 6061/graphene flake composite. Tribol.-Mater. Surf. Interfaces 2017, 11, 88–97. [Google Scholar] [CrossRef]
  40. Kruhlov, I.O.; Vladymyrskyi, I.A.; Dubikovskyi, O.; Sidorenko, S.; Ebisu, T.; Kato, K.; Sakata, O.; Ishikawa, T.; Iguchi, Y.; Langer, G.; et al. Oxidation and reduction processes in Ni/Cu/Cr/Si(100) thin films under low-energy Ar+ ion bombardment. Mater. Res. Express 2020, 6, 126431. [Google Scholar] [CrossRef]
  41. Ren, S.; Cui, M.; Liu, C.; Wang, L. A comprehensive review on ultrathin, multi-functionalized, and smart graphene and graphene-based composite protective coatings. Corros. Sci. 2023, 212, 110939. [Google Scholar] [CrossRef]
Figure 1. Schematic representation of the studied simulation cells and their parameters.
Figure 1. Schematic representation of the studied simulation cells and their parameters.
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Figure 2. Interplanar spacing modification induced by Ni relaxation in {111} (a,b), {001} (c,d), and {011} (e,f) orientations with and without GR at 300 K (a,c,e) and 400 K (b,d,f).
Figure 2. Interplanar spacing modification induced by Ni relaxation in {111} (a,b), {001} (c,d), and {011} (e,f) orientations with and without GR at 300 K (a,c,e) and 400 K (b,d,f).
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Figure 3. Transverse atomic distribution in the modeled cell.
Figure 3. Transverse atomic distribution in the modeled cell.
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Figure 4. Change in the d12 interplanar spacing of Ni with and without GR at 300 K (a) and 400 K (b) as a function of atomic relative packing density.
Figure 4. Change in the d12 interplanar spacing of Ni with and without GR at 300 K (a) and 400 K (b) as a function of atomic relative packing density.
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Figure 5. Radial pair distribution function g(r) for C atoms in equilibrium state of GR layer (a) and GR layer on the Ni surface with {111} (b), {001} (c), and {011} (d) orientations at 300 K. Position and height of the peaks are listed at their maximums. Calculated parameters, i.e., relative change in position (Δr) and height Δg(r) of the peaks compared to equilibrium state of graphene, are summarized in table.
Figure 5. Radial pair distribution function g(r) for C atoms in equilibrium state of GR layer (a) and GR layer on the Ni surface with {111} (b), {001} (c), and {011} (d) orientations at 300 K. Position and height of the peaks are listed at their maximums. Calculated parameters, i.e., relative change in position (Δr) and height Δg(r) of the peaks compared to equilibrium state of graphene, are summarized in table.
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Figure 6. Distribution of atoms in direction perpendicular to the surface for {111} (a,b), {001} (c,d), and {011} (e,f) orientations of Ni with and without GR at 300 K (a,c,e) and 400 K (b,d,f).
Figure 6. Distribution of atoms in direction perpendicular to the surface for {111} (a,b), {001} (c,d), and {011} (e,f) orientations of Ni with and without GR at 300 K (a,c,e) and 400 K (b,d,f).
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Figure 7. Maps of the atomic displacement normal to the surface; the uppermost Ni layer (a,c,e) and GR (b,d,f) at 300 K; GR/Ni {111} (a,b); GR/Ni {001} (c,d); GR/Ni {011} (e,f). The vertical offset from the average positions is given in Å.
Figure 7. Maps of the atomic displacement normal to the surface; the uppermost Ni layer (a,c,e) and GR (b,d,f) at 300 K; GR/Ni {111} (a,b); GR/Ni {001} (c,d); GR/Ni {011} (e,f). The vertical offset from the average positions is given in Å.
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Figure 8. Dependence of the S/Ra integral surface roughness parameter on the relative packing density of the Ni atomic planes and temperature.
Figure 8. Dependence of the S/Ra integral surface roughness parameter on the relative packing density of the Ni atomic planes and temperature.
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Figure 9. Radial pair distribution function g(r) for the uppermost Ni layer in {111} (a), {001} (b), and {011} (c) orientations with and without GR. Position and height of the peaks are marked at their maximums. The peaks of GR atoms are not shown, but their positions are marked with dotted lines.
Figure 9. Radial pair distribution function g(r) for the uppermost Ni layer in {111} (a), {001} (b), and {011} (c) orientations with and without GR. Position and height of the peaks are marked at their maximums. The peaks of GR atoms are not shown, but their positions are marked with dotted lines.
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Figure 10. Dependence of the thickness variation of Ni upper layer (a) and the average distance between Ni atoms (b) on the relative packing density of Ni in presence of GR.
Figure 10. Dependence of the thickness variation of Ni upper layer (a) and the average distance between Ni atoms (b) on the relative packing density of Ni in presence of GR.
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Table 1. Structural parameters and coefficients of linear thermal expansion (CLTE) of Ni and GR calculated in this study using molecular dynamics simulation and corresponding reference data.
Table 1. Structural parameters and coefficients of linear thermal expansion (CLTE) of Ni and GR calculated in this study using molecular dynamics simulation and corresponding reference data.
MaterialTemperature, KLattice Constant, ÅCLTE, 10−6 1/K
Ni3003.5347 (this work)
3.523 [31]
12.75 (this work)
13.4 [32]
12.8 [33]
4003.5392
GR3001.4163 (this work)
1.42 [34]
8.5 (this work)
4001.4175
Table 2. Surface roughness parameters of the GR/Ni systems depending on the Ni orientation and temperature.
Table 2. Surface roughness parameters of the GR/Ni systems depending on the Ni orientation and temperature.
Ni PlaneTemperature
300 K400 K
{111}Ra = 0.7 ± 0.05 ÅRa = 0.55 ± 0.05 Å
Rmax = 1.95 ± 0.05 ÅRmax = 1.75 ± 0.05 Å
S = 146 ± 1.4 ÅS = 150 ± 1.4 Å
S/Ra = 208S/Ra = 272
{001}Ra = 0.35±0.05 ÅRa = 0.4 ± 0.05 Å
Rmax =1.1 ± 0.05 ÅRmax = 1.15 ± 0.05 Å
S = 12 ± 1.4 ÅS = 13 ± 1.4 Å
S/Ra = 34S/Ra = 32
{011}Ra = 0.45 ± 0.05 ÅRa = 0.55 ± 0.05 Å
Rmax = 1.2 ± 0.05 ÅRmax =1.35 ± 0.05 Å
S = 18 ± 1.4 ÅS = 19 ± 1.4 Å
S/Ra = 40S/Ra = 34
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MDPI and ACS Style

Konorev, S.; Yanchuk, V.; Kruhlov, I.; Orlov, A.; Sidorenko, S.; Vladymyrskyi, I.; Prikhodko, S.; Voloshko, S. Effect of Graphene on Nickel Surface Relaxation: Molecular Dynamics Simulation. Lubricants 2023, 11, 405. https://doi.org/10.3390/lubricants11090405

AMA Style

Konorev S, Yanchuk V, Kruhlov I, Orlov A, Sidorenko S, Vladymyrskyi I, Prikhodko S, Voloshko S. Effect of Graphene on Nickel Surface Relaxation: Molecular Dynamics Simulation. Lubricants. 2023; 11(9):405. https://doi.org/10.3390/lubricants11090405

Chicago/Turabian Style

Konorev, Sergiy, Vitalii Yanchuk, Ivan Kruhlov, Andrii Orlov, Sergii Sidorenko, Igor Vladymyrskyi, Sergey Prikhodko, and Svitlana Voloshko. 2023. "Effect of Graphene on Nickel Surface Relaxation: Molecular Dynamics Simulation" Lubricants 11, no. 9: 405. https://doi.org/10.3390/lubricants11090405

APA Style

Konorev, S., Yanchuk, V., Kruhlov, I., Orlov, A., Sidorenko, S., Vladymyrskyi, I., Prikhodko, S., & Voloshko, S. (2023). Effect of Graphene on Nickel Surface Relaxation: Molecular Dynamics Simulation. Lubricants, 11(9), 405. https://doi.org/10.3390/lubricants11090405

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