Open Access Article
This Open Access Article is licensed under a
Creative Commons Attribution 3.0 Unported Licence

Healing double vacancy defects on graphene: reconstruction by C2 adsorption

Parisa Alamdari a, Farhad Sharif *a, Saeedeh Mazinani b, German Sastre *c and Hermenegildo Garcia c
aDepartment of Polymer Engineering and Color Technology, Amirkabir University of Technology, Tehran, Iran. E-mail: sharif@aut.ac.ir; Tel: +98 21 6454 2409
bNew Technologies Research Center (NTRC), Amirkabir University of Technology, Tehran, Iran
cInstituto de Tecnologia Quimica, Consejo Superior de Investigaciones Científicas–Universidad Politécnica de Valencia (CSIC-UPV), Avenida de los Naranjos s/n, Valencia 46022, Spain. E-mail: gsastre@itq.upv.es; Tel: +34 96 387 9445

Received 8th November 2022 , Accepted 14th March 2023

First published on 15th March 2023


Abstract

Graphene has emerged as an exciting material because of its widespread applications resulting from its unique properties. Nano-scale engineering of graphene's structure is one of the most active research areas aimed at introducing functionalities to improve the performance or endow the graphene lattice with novel properties. In this regard, conversion between the hexagon and non-hexagon rings becomes an exciting tool to tune the electronic structure of graphene due to the distinct electronic structure and functionalities induced in graphene by each type of ring. This Density Functional Theory (DFT) study is an in-depth look at the adsorption-induced conversion of pentagon–octagon–pentagon rings to hexagon rings, and systematically investigates the possibility of the conversion of pentagon–octagon–pentagon rings to pentagon–heptagon pair rings. Moreover, the bottlenecks for these atomic-level conversions in the lattice structure of graphene and the influence of heteroatom doping on the mechanisms of these transformations are established.


Introduction

Graphene has emerged as an exciting material because of its widespread applications resulting from its unique properties. Nano-scale engineering of graphene mainly aims to introduce functionalities for improving its performance. The main structural characteristics of graphene are determined by the synthesis method and can be further modified through post-processing.1–4 Atomically precise graphene can be synthesized via bottom-up approaches,5–7 top-down8–11 and mixed methods.12–16 Moreover, in almost all kinds of graphene synthesis methods, the generation of structural defects is unavoidable.17

Defects on the one hand reduce carrier mobility by scattering the electron waves, and on the other hand they tend to increase the band gap,18 leading to chemical reactivity and catalytic properties,19 as well as changing the mechanical strength, thermal conductivity and electrical conductivity of the ideal graphene sheet.20–23 Structural defects play a key role in the activity of graphene as metal-free catalysts and as commercial catalysts.19 Since a specific balance between different properties may be required for each particular graphene functionality, engineering of the defect density by post-processing methods can become an essential tool to control the performance of a particular graphene sample for a target application, particularly in catalysis.

Among various types of structural defects, carbon vacancies (in particular single and double vacancies, SV and DV) and Stone–Wales (SW) defects contribute to changes in the electronic structure of the pristine graphene by incorporating non-hexagonal rings and subsequently perturbing the extended sp2 system.24 These imperfections may be recovered by providing suitable carbon sources to fill the vacancies and by 90° rotation of the central C–C bond in the SW defect, which can be achieved under specific reaction conditions.

The SW defect, also called the (5-7-7-5) defect, is the most uncomplex topological defect in graphene, formed by a 90° rotation of a C–C bond in the hexagonal carbon network. The formation energy of (5-7-7-5) has been reported to be an approximately 5 eV endothermic process, with a formation barrier of almost 10 eV.25 This means SW defects are not likely to form at typical reaction temperatures of graphene processes, well below 1000 °C. Hence, once the SW defect is created in the graphene synthesis process, it should be stable in subsequent treatment and applications of graphene.26 The formation barrier decreases to 3.7 eV if the graphene contains hydrogen or hydroxyl groups on the two carbon atoms placed at the center of the SW defect after formation.27 To the best of our knowledge, there is no attempt in the literature to facilitate the SW defect formation through an exothermic adsorption process, requiring a less stable starting material compared to pristine graphene.

The abundance of DV defects compared to reactive and unstable odd-number carbon vacancies which contain a dangling bond makes it more interesting in the case of controlled atomic-scale engineering of the graphene lattice. Regarding carbon-vacancy defects, the formation energy of a double-vacancy, DV (8.7 eV), is lower than the formation energy of two isolated single-vacancies, SVs (2 × 7.5 eV). Moreover, the migration energies of SV and DV are 1.7 and 7 eV, respectively, indicating the measurable mobility of SVs and relative immobility of DVs at the usual temperatures of graphene processes.28 Hence, DVs can be produced either in the synthesis or the post-synthesis of graphene, and also by coalescence of two SVs at relatively large temperatures. As an example, DVs could be created upon reduction of graphene oxide. It has been proved that epoxy groups line up on the graphene oxide basal plane and leave the graphene surface in the form of CO2; hence a series of nearby single vacancies can be produced, which can subsequently coalesce to form lined up DVs.29 These data indicate the importance of DVs over SVs expected in real defective graphene samples.

Considering the various procedures proposed in the literature for healing the structural imperfections of graphene i.e., annealing, self-healing, metal-assisted healing, and healing by adsorption,3 the latter is particularly fascinating due to the diverse range of adsorbate molecular structures. Since adsorption is the first step in catalysis, this DV healing pathway is also relevant from the point of view of the activity of defective graphene as catalysts. Indeed, the structure of adsorbate affects its interaction with defective graphene and subsequently dictates the thermodynamics and kinetics of the healing process. Healing by adsorption can be facilitated by selecting reactive adsorbates or by stabilizing the subsequent transition state via appropriate selection of the adsorbate/adsorbent pairs, while a high temperature condition is essential to speed up lattice movements and relaxation at defective sites in the other healing methods.

Toward a more detailed study of graphene healing by adsorbates, Liu et al. provided atomic-scale scanning tunnelling microscopy (STM) images of defect sites during soot formation.30 Exposure of nanoscale holes on highly ordered pyrolytic graphite to acetylene at 625 K resulted in forming graphitic and amorphous carbonaceous materials at the edge of holes. The authors suggested that defect healing in graphene nanostructures at moderate temperature should be possible by the interaction of the adsorbent with unsaturated hydrocarbons. Meanwhile, acetylene-assisted enhanced graphitization in graphene or graphene oxide at temperatures ranging from 600 to 1000 °C was reported in some studies.31–34

To understand the mechanism of graphene healing by adsorbates, Wang et al. investigated computationally the interaction of ethylene and acetylene with DV in a hydrogen-terminated flake of graphene.35 Their results indicate barriers of 120.5 and 106.7 kJ mol−1 for the adsorption of ethylene and acetylene on a DV. In the case of ethylene, barriers for the formation of two new carbon–carbon bonds and subsequent hydrogen transfer were calculated as 88.3 and 56.9 kJ mol−1. In the case of acetylene, the barrier for the carbon–carbon bond formation on a DV is only 11.3 kJ mol−1. It was suggested that during the high-temperature growth of graphene, ethylene and acetylene act as both the carbon source and defect healing agents. The same authors also studied the mechanism of healing in carbon nanotubes by ethylene and acetylene, although the details on the preferred orientation of carbon sources on DV were not mentioned.36

Using vdW-DFT calculations, Zhang et al. found that the potential energy decreases when acetylene moves from the edge to the center of DV, suggesting that the center of DV is energetically more favourable for acetylene adsorption. Moreover, they reported that acetylene fills DV in graphene with no energy barrier, which is in compliance with previous studies.37

Recently, Kang et al. investigated the adsorption of acetylene and water on DV to understand the mechanism of acetylene hydration to produce acetaldehyde catalysed by defective graphene. The shared C–C bond between the eight-member ring and six-member ring of DV was the active site, with preferential adsorption of acetylene, in competition with water.38

Starting from these precedents, a detailed mechanistic study is presented in this study to shed light on the preferred orientation and physi- or chemi-sorption of C2 hydrocarbons at DV on graphene. Depending on this preference, the C2-hydrocarbon may heal DV or convert DV to SW defects after removing the hydrogens, a possibility that has not been previously considered. The hydrogen removal mechanism is not considered in this study. The importance of the former is in the case of repairing the graphene structure and recovering the properties of the original hexagonal carbon network, while the importance of the latter is in the case of inducing tailor-made active sites to catalyse target reactions. Indeed, its high surface area and tunable structure make graphene a multi-advantage platform for advanced material design. Recently,39–42 it has been proved that the presence of non-hexagonal rings alone and in combination with nitrogen doping induces graphene catalytic activity similar to metals in oxygen reduction reactions. The main sources of non-hexagonal rings in graphene are intrinsic defects such as Stone–Wales (SW) defects which are formed during graphene synthesis.

This study is indeed an initial attempt to evaluate the possibility of SW formation via a mechanism other than carbon–carbon bond rotation, which is an endothermic reaction. In other words, we tried to introduce a new mechanism for SW defect formation.

Since semimetal graphene with well-arranged SW defects is the most stable graphene allotrope known to date,43 it may be possible in the future to increase the density of SW defects more than other defects such as vacancies in graphene, with the corresponding implications in catalysis. When the density of vacancies increases they tend to coalesce and produce holes or sheet termination in graphene.

This paper is aimed to perform an in-depth mechanistic study on the interaction of C2-hydrocarbons with defective graphene using periodic vdW-DFT calculations. Furthermore, the determinant structural characteristics, affecting the minimum energy paths (MEPs) of the studied reactions, were explored. Finally, we attempted to find how MEPs are changed by justifying the structural characteristics of the optimized geometries. Considering the calculated barrier energies we concluded that the new suggested mechanism for SW defect formation, which is exothermic, is more probable and significantly feasible in the presence of pyridinic nitrogen at the edge of double carbon vacancies. It should be noted that to the best of our knowledge there is no attempt in the literature to suggest a new mechanism for SW defect formation in addition to carbon–carbon bond rotation.

Computational methods

All periodic DFT calculations were performed using the plane-wave self-field consistent Quantum Espresso package.44,45 The generalized gradient approximation (GGA) with the Perdew, Burke and Enzerhof (PBE) functional modified for solids was employed to calculate the exchange correlation energies of the different structures.46,47 The plane-wave expansion of the wave functions is set to a kinetic energy cutoff of 400 eV. The k-points grid employed is set to 5 × 5 × 1 with the k-points automatically generated using the Monkhorst–Pack grid.48 In order to achieve accurate electronic convergence, a Gaussian smearing of 0.01 Ry was applied. A 4 × 4 × 1 super-cell of graphene consisting of 32 carbon atoms was considered as a model. To make sure that 4 × 4 supercells are large enough to prevent the interaction between cells, the formation energies of double carbon vacancy defects in 4 × 4 and 6 × 6 supercells were calculated and compared, not only with each other but also with those reported in the literature for different size supercells (see the ESI). The distance between two adjacent graphene layers was kept at 20 Å to minimize the interactions between them. To consider the effect of van der Waals (vdW) forces on the interaction of C2-hydrogarbons and graphene based structures, the long-range-dispersion-corrected Grimme D3 method was taken into account.49 For structure relaxation, the atomic positions were fully optimized until the maximum force on each atom was less than 10−4 eV Å−1, and the convergence criteria for energy was set to 10−6 eV. To establish minimum energy paths, the reaction coordinates were scanned carefully using convergence criteria of 10−4 eV for energy. Then, the barrier energies of elementary reactions were recalculated using the Nudged Elastic Band (NEB) method.50,51 The adsorption energy Eads was defined using the energy of graphene based material GBM, (EGBM), the energy of ethylene or acetylene (EEth/Ace) and the energy of a stable structure with the hydrocarbon adsorbed on GBM (EGBM/Eth/Ace), as follows:
Eads = E(GBM/Eth/Ace)EGBMEEth/Ace

Results and discussion

For ease of discussion and according to Fig. 1 the four under coordinated carbon atoms at the edge of DV in graphene were labelled G1 to G4, ethylene carbons were labelled E1 and E2, and acetylene carbons were labelled A1 and A2.
image file: d2cp05233d-f1.tif
Fig. 1 Schematic illustration of two possible alignments, DVH and DVP, of C2-hydrocarbons to approach DV on graphene. G1, G2, G3, and G4 correspond to undercoordinated carbon atoms in graphene. A1 and A2 correspond to the acetylene carbon atoms. E1 and E2 correspond to the ethylene carbon atoms. G1G2 and G3G4 are semi-bonds formed due to the DV reconstruction. The new bonds between Gi and Aj/Ek carbon atoms are highlighted in green.

Each carbon atom in the graphene lattice is surrounded by three carbon atoms. Removing the two neighbouring carbons from the graphene lattice introduces four extremely reactive under coordinated carbon atoms, which can be stabilized through reconstruction. This reconstruction lowers the energy of graphene containing a DV defect by 189 kJ mol−1 compared to the unreconstructed one via compressing the distance between two nearest under coordinated carbons (G1G2 and G3G4 in Fig. 1) from 2.5 Å to 1.8 Å. In this study, all calculations were done starting from reconstructed DV as the most stable state of the initial DV on graphene.

Depending on the alignment of the C2 molecule axis with respect to the two omitted carbon atoms axis of DV, there are two possible orientations for chemisorption of C2-hydrocarbons on DV in graphene, termed here as horizontal (DVH) and perpendicular (DVP). As shown in Fig. 1, the DVH interaction of C2-hydrocarbons with DV converts 5-8-5 rings to 6-6-6-6 rings and heals the DV. On the other hand, the DVP interaction converts 5-8-5 rings to 5-7-7-5 rings and creates a SW defect. These transformations are accompanied by the formation of four new bonds (green coloured in Fig. 1) between the C2-hydrocarbons and the defective graphene.

The minimum energy paths (MEPs) for the reactions of reconstructed DV with ethylene, starting from the two distinct initial orientations (DVH, DVP) of adsorbates on DV, were calculated using the plane-wave DFT method. Fig. 2 is a schematic representation of the MEPs of ethylene reactions through DVH and DVP approaches, whose corresponding geometries are shown in Fig. 3 and 4, respectively (see Tables S1 and S2 in the ESI for more details on MEPs and the relevant geometries).


image file: d2cp05233d-f2.tif
Fig. 2 Schematic minimum energy path for ethylene interaction with DV on graphene. (a) to (g) geometries for DVH mechanism are illustrated in Fig. 3(a) to (i) and geometries for the DVP mechanism are illustrated in Fig. 4(a) to (i). See the ESI for more details on geometries corresponding to each step and Table 1 for energies.

image file: d2cp05233d-f3.tif
Fig. 3 DVH mechanism of ethylene interaction with DV, which results in conversion of 5-8-5 rings to 6-6-6-6 rings. Distances are in Å. (a) Reactants, (b) TS1, (c) chemisorption, (d) TS2, (e) local minimum, (f) TS3, and (g) product: PG-4H. See the ESI for details on geometries corresponding to each step and Table 1 for energies.

image file: d2cp05233d-f4.tif
Fig. 4 DVP mechanism of ethylene to DV, which results in conversion of 5-8-5 rings to 5-7-7-5 rings. Distances are in Å. (a) Reactants, (b) TS1, (c) chemisorption, (d) TS2, (e) local minimum, (f) TS3, (g) local minimum, (h) TS4 and (i) product: SWG-4H. See the ESI for details on geometries corresponding to each step and Table 1 for energies.

The zero-energy corresponds to the noninteracting ethylene and the reconstructed DV. By approaching ethylene to DV on the graphene surface, a physisorption and then a chemisorption occurs and consequently, the C2-hydrocarbon fills the DV. The energy values for all labelled steps in Fig. 2 are summarized in Table 1.

Table 1 Energies (kJ mol−1) of the different steps of the reaction of ethylene with DV
GBM Approach Physisorption Barrier I Chemisorption Barrier II Local Min Barrier III Local Min Barrier IV Local Min
a The geometries corresponding to this path shown in Fig. 3(a) to (g). b The geometries corresponding to this path shown in Fig. 4(a) to (i).
DV DVHa −93.6 (Fig. 3a) 56.9 (Fig. 3b) −199.8 (Fig. 3c) 126.4 (Fig. 3d) −367.5 (Fig. 3e) 38.0 (Fig. 3f) −632.1 (Fig. 3g)
DV DVPb −91.9 (Fig. 4a) 134.9 (Fig. 4b) −275.0 (Fig. 4c) 80.3 (Fig. 4d) −325.1 (Fig. 4e) 136.0 (Fig. 4f) −471.1 (Fig. 4g) 223.0 (Fig. 4h) −321.4 (Fig. 4i)


Interaction of ethylene with DV

In the DVH approach of ethylene to DV upon ethylene chemisorption, the interacting graphene carbons (G1G3) reduce their distance (from 3.02 to 2.79 Å) to form new bonds with ethylene, and as a consequence of this strain, G1G2 and G3G4 distances increase from 1.79 to 2.11 Å (Fig. 3a–c). On the other hand, in the DVP approach, upon ethylene chemisorption, the G1G2 distance expands to 2.81 Å to compensate the induced strain in the created heptagon ring (Fig. 4a–c). The larger distance between the nonbonded carbons (G2G4, 2.98 Å, Fig. 3c) in the DVH approach with respect to the G3G4 distance (2.08 Å, Fig. 4c) in the DVP approach, induces less stabilized nonbonded carbons in DVH, making this chemisorption energetically less favourable (−199.8 kJ mol−1) than in DVP (−275.0 kJ mol−1). On the other hand, the barrier energy for chemisorption through the DVP approach is larger than that of the DVH approach by 78 kJ mol−1 (134.9 versus 56.9 kJ mol−1, Table 1) due to the less stable transition state of the former resulting from the stress-induced seven-membered ring formation. After ethylene chemisorption, the E1E2 bond length increases to 1.57 Å (DVH) and 1.53 Å (DVP), almost similar to a C–C single bond length (Fig. 3c and 4c).

Therefore, the chemisorption of ethylene on DV through DVP is energetically more favourable, however, the barrier energy for this transformation is higher compared to that of the DVH approach.

First hydrogen transfer. First hydrogen transfer from chemisorbed ethylene to DV corresponds to the steps shown in (c), (d), and (e) in Fig. 3 and 4. The presence of reactive carbons in graphene can assist the hydrogen transfer from chemisorbed ethylene to graphene. Ethylene chemisorption through the DVH and DVP approach show different effects on the reactivity of nonbonded carbon atoms at the edge of DV. By approaching E2H4 to G4 in DVH, the G3G4 distance reduces in the transition state (from 2.11 to 1.80 Å, Fig. 3c and d). However, by approaching E1H3 to G3 in DVP, the G3G4 distance increases (from 2.08 to 2.26 Å, Fig. 4c and d), making the two carbenes more reactive in DVP than in the DVH mechanism and facilitating the first hydrogen transfer in DVP compared to DVH. The energy barrier for the first hydrogen transfer from E1H3 to G3 in DVP is 80.3 kJ mol−1 (Table 1). During this hydrogen transfer, the G3G4 distance increases from 2.08 Å to 2.82 Å (Fig. 4c and e), removing the stabilization effect of G3 on G4. As a result, the E1G4 distance reduces to 1.82 Å, ejecting the –CH2– group of ethylene out of plane and preventing simultaneous E1G3 bond formation (Fig. 4e). On the other hand, the energy barrier for first hydrogen transfer from E2H4 to G4 in DVH is 126.4 kJ mol−1 and at the same time, not only E2G4 but also E2G3 bonds are formed (Table 1 and Fig. 3e).
Second hydrogen transfer. Second hydrogen transfer from ethylene to graphene corresponds to steps (e), (f), and (g) in Fig. 3 and 4. In the DVH mechanism, after transfer of H4 from E2 to G4 (Fig. 3e), the stress induced by the E2G4 bond formation increases the G1G2 distance to 2.44 Å and makes G2 less stabilized, which subsequently facilitates H2 transfer, from E1 to G2. This hydrogen transfer is further facilitated by the more electron-donating effect of the neighbouring CH (E2H3) on E1 (Fig. 3e) compared to the less electron donating effect of the neighbouring CH2 (E1H1H2) on E2 during the first hydrogen transfer (Fig. 3c). Therefore, the barrier for the second hydrogen transfer from chemisorbed ethylene to graphene is only 38.0 kJ mol−1, compared to 126.4 kJ mol−1 in the first hydrogen transfer step (Table 1). Furthermore, the second hydrogen transfer is accompanied with E1G2 bond formation.

In contrast, for the DVP mechanism, the barrier for this step (transfer of H4 from E2 to G4) is as high as 136.0 kJ mol−1 since no additional C–C bonds (neither E1G3 nor E2G4) are formed (Fig. 4e–g). The formation of these C–C bonds requires an additional step (Fig. 4g–i) which is not needed in the DVH mechanism. The initially large E1G3 and E2G4 distances (Fig. 4g) make the formation of these bonds 149.7 kJ mol−1 endothermic with a barrier of 223 kJ mol−1 (Table 1). Therefore, overall, when using ethylene it will be less likely to transfer 5-8-5 rings to 5-7-7-5 rings and ethylene will be more prone to heal the DV defect in graphene through the DVH mechanism.

There are two main bottlenecks for converting 5-8-5 rings to 5-7-7-5 rings with ethylene: DV reconstruction and hydrogen transfer. The former makes the initial structure less reactive and the latter causes some inconvenience by imposing additional steps towards defect healing. The reconstruction is predicted to be tuneable by heteroatom doping and it may be more reasonable to replace ethylene by acetylene as the carbon source to eliminate the difficulties caused by additional hydrogen transfer steps.

Interaction of acetylene with DV. Using acetylene as the carbon source instead of ethylene saves the two steps of hydrogen transfer. In a similar way to the previous section, the MEPs of acetylene reactions (Fig. 5) through DVH and DVP approaches and corresponding geometries are shown in Fig. 6 and 7 (see also Tables S3 and S4 in the ESI). The preferred mechanism for acetylene adsorption on a double vacancy is DVH. Acetylene is able to simultaneously stabilize the four under coordinated graphene carbons (G1–G4) at the edge of DV and directly repair the DV with an energy barrier of 58 kJ mol−1 (Fig. 6 and Table 2).
image file: d2cp05233d-f5.tif
Fig. 5 Minimum energy path for acetylene interaction with DV on graphene. (a) to (c) the geometries for DVH are illustrated in Fig. 6(a) to (c); geometries for DVP are illustrated in Fig. 7(a) to (e). See the ESI for details on geometries corresponding to each step and Table 2 for energies.

image file: d2cp05233d-f6.tif
Fig. 6 DVH mechanism of acetylene to DV, which results in conversion of 5-8-5 rings to 6-6-6-6 rings. Distances are in Å. (a) Reactants, (b) TS1 and (c) product: PG-2H. See the ESI for details on the geometries corresponding to each step and Table 2 for energies.

image file: d2cp05233d-f7.tif
Fig. 7 DVP mechanism of acetylene to DV, which results in the conversion of 5-8-5 rings to 5-7-7-5 rings. Distances are in Å. (a) Reactants, (b) TS1, (c) chemisorption, (d) TS2 and (e) product: SW-2H. See the ESI for details on geometries corresponding to each step and Table 2 for energies.
Table 2 Energies (kJ mol−1) of the different steps of the reaction of acetylene with DVs (* = No data)
GBM Approach Physisorption Barrier I Chemisorption Barrier II Local Min Barrier III Product
a The geometries corresponding to this path shown in Fig. 6(a) to (c). b The geometries corresponding to this path shown in Fig. 7(a) to (e). c Acetylene is chemisorbed on G1 and G2. d Acetylene is chemisorbed on G3 and N.
DV DVHa −90.8 (Fig. 6a) 58.0 (Fig. 6b) −933.2 (Fig. 6c)
NP DVH −89.6 14.0 −911.6
NG1 DVH −88.2 104.2 −853.3
NG2 DVH −88.6 97.0 −866.5
SG DVH −152.4 49.0 −809.6
DV DVPb −88.1 (Fig. 7a) 123.0 (Fig. 7b) −381.3 (Fig. 7c) 154.7 (Fig. 7d) −587.8 (Fig. 7e)
NPc DVP −89.3 103.7 −448.4 7.4 −572.0
NPd DVP −88.7 28.5 −405.4 153.3 −572.0
NG1 DVP −88.2 * −355.6 153.2 −496.9
NG2 DVP −87.8 * −349.1 117.1 −504.2
SG DVP −150.8 * −508.6 29.6 −499.9 30.5 −507.2


In the case of the DVP approach, two barriers of 123.0 kJ mol−1 and 154.7 kJ mol−1 should be passed in order to chemisorb on DV (first barrier) and eventually convert the initial 5-8-5 rings to 5-7-7-5 ones (second barrier). Upon acetylene chemisorption on DV, the A1A2 bond length increases from 1.21 to 1.34 Å, which is characteristic of a C[double bond, length as m-dash]C double bond. A further increase in the length of this bond to 1.49 Å occurs when acetylene becomes part of the graphene lattice. Interestingly, the resulting structure in this case is a partially hydrogenated SW defect (Fig. 7e). The main reason that justifies the respective barriers obtained in DVH and DVP mechanisms is the different initial distances of G1G2 (1.79 Å) and G1G3 (3.02 Å) atoms (Fig. 6a and 7a), leading to different stabilizing effects on under coordinated carbon carbons and, especially, making the absence of under coordinated carbons possible in DVH (Fig. 6c) unlike in the case of DVP (Fig. 7c).

Effect of heteroatom doping on the acetylene interaction with DV

Due to the key role of structural reconstruction on the interaction of carbon sources with DV, heteroatom doping seems to have a controlling effect on these interactions via affecting the reconstruction of DV upon interaction with acetylene. In other words, if dopants benefit from the expected functionality of the graphene-based material, structural reconstructions can be weakened or strengthened by dopants, depending on their positions on DV.

There are four distinct positions around DV for carbon substitution with nitrogen, whose influence on the interaction of carbon dimers with DV could not be neglected (Fig. 8). Before studying the carbon dimer interaction with doped DV structures, the total energy and stability of these four configurations were carefully calculated and compared (see the ESI for details on N-doped defective structures).


image file: d2cp05233d-f8.tif
Fig. 8 Schematic illustration of doped DVs in graphene. NG1 and NG2 are graphitic nitrogen-containing DV, NP is pyridinic nitrogen-containing DV and SG is sulfur-containing DV. In NP and SG, G4 carbon is replaced by nitrogen or sulfur.

The doped defected graphene structures were labelled as Xyi. In which, ‘X’ is the symbol of the substituted atom, ‘y’ indicates the type of doping (pyridinic and graphitic) and ‘i’ is the number to indicate the different possibilities with the same ‘X’ and same ‘y’.

NG1 is the most stable configuration for nitrogen doping around DV. Indeed, in this configuration two undercoordinated carbon atoms at the edge of DV are influenced symmetrically by an electron withdrawing effect of nitrogen, which subsequently strengthens the pseudo-bond between two undercoordinated carbons and makes the interaction of NG1 with carbon dimers more difficult. In the case of NG2, nitrogen has a non-symmetrical effect on the two mentioned carbons. On the other hand, pyridinic nitrogen is less unstable than undercoordinated carbon atoms, therefore, the reconstructed N–C length in the NP configuration is larger than the reconstructed C–C length and less stabilized than the undercoordinated carbon atom at the edge of DV, which facilitates the interaction of carbon dimers with NP. The NG3 configuration seems to be the less stable and was not considered in this study. The main reason for the instability of NG3, compared to NG1 and NG2, could be attributed to the different sizes of their corresponding rings, a 5-member ring in the former case and 8-member rings in the latter case.

Graphitic nitrogen doping such as in NG1 and NG2 (Fig. 8) strengthens the reconstruction by decreasing the under coordinated carbon–carbon distances, for example G1G2, from 1.79 Å in undoped DV to 1.69 and 1.71 Å in NG1 and NG2 respectively (Table 3). As a result, the barrier of DVH healing by acetylene increases from 58.0 kJ mol−1 in the undoped structure to 104.2 kJ mol−1 in NG1 and 97.0 kJ mol−1 in NG2 (Table 2).

Table 3 Effect of doping on weakening or strengthening DV reconstruction. G1, G2, G3 and G4/N/S as in Fig. 8
GBM G1G2 (Å) G3 (G4/N/S) (Å)
DV 1.79 1.79
NG1 1.66 1.69
NG2 1.70 1.71
NP 1.91 2.36
SG 1.96 1.94


On the other hand, pyridinic nitrogen (NP) weakens the reconstruction significantly, due to the larger stability of the pyridinic nitrogen compared to the original under coordinated carbon atom (G4, Fig. 8) and subsequently lower interaction of pyridinic nitrogen compared to G4 with G3. In this case, the reconstructed G3NP length is 2.36 Å and the reconstructed G1G2 length is 1.91 Å (Table 3). Consequently in NP, after acetylene chemisorption on the reconstructed G1G2, barriers of only 103.7 and 7.4 kJ mol−1 should be passed in order to form the SW defect through the DVP mechanism, much lower than those in the un-doped DVP case (123.0 and 154.7 kJ mol−1, Table 2). When acetylene fills DV of NP through DVP, the pyridinic nitrogen becomes a graphitic nitrogen and the product contains a nitrogen doped pentagon ring which may be considered an active site for special reactions.

In the presence of graphenic sulfur (SG) as another heteroatom dopant, the reconstructed G1G2 and G3SG lengths are 1.96 and 1.94 Å (Fig. 8 and Table 3). In addition, SG is the most energetically favourable combination of sulfur atom and DV compared to the three other possible positions for doping sulfurs on DV while keeping the DV defect for interaction with acetylene. After acetylene chemisorption through DVP on G1G2, a barrier of 29.7 kJ mol−1 should be passed in order to form the A1G3 bond. Then, another barrier of 30.5 kJ mol−1 should be passed for forming the A2SG bond. This process is approximately reversible, due to the comparable energy barriers calculated for the reverse transformations. The reversible nature of this process is interesting to increase the lifetime of extremely reactive under coordinated carbons at the edge of sulfur-doped DV.

Conclusions

Understanding how to engineer active sites in defective graphene sheets is very important for the application of these materials in catalysis. DFT calculations indicate that the two extreme orientations for C2-hydrocarbon alignment on a DV on graphene, DVH and DVP result in the conversion of the 5-8-5 rings to 6-6-6-6 and 5-7-7-5 rings, respectively.

There are two main bottlenecks for these transformations using ethylene as a carbon source: hydrogen transfer and DV reconstruction. By using acetylene instead of ethylene the two steps of hydrogen transfer are removed. Moreover, introducing pyridinic nitrogen to the edge of DV not only reduces the energy barrier for DVH healing by acetylene from 58 to 14 kJ mol−1, but also reduces the energy barrier for DVP healing by acetylene from 123 and 154.7 kJ mol−1 to 103.7 and 7.4 kJ mol−1, making both DVH and DVP mechanisms possible, hence facilitating the formation (through DVP) of the doped SW defect. In the case of sulfur-doped DV, the 5-7-7-5 defect formation after acetylene chemisorption through DVP becomes a reversible process. The reversible nature of these reactions may be interesting to extend the lifetime of extremely reactive undercoordinated carbons at the edge of the sulfur-doped DV.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

PA, FS and SM thank the Iranian Ministry of Science, Research and Technology (MSRT) for funding. GS thanks Generalitat Valenciana (PROMETEO/2021/077) for financial support. PA and GS thank ASIC-UPV for the use of computational facilities.

Notes and references

  1. J. He, A. Anouar, A. Primo and H. García, Nanomaterials, 2019, 9, 895 CrossRef CAS PubMed .
  2. S. Lee, W. K. Park, Y. Yoon, B. Baek, J. S. Yoo, S. B. Kwon, D. H. Kim, Y. J. Hong, B. K. Kang and D. H. Yoon, J. Mater. Sci. Eng. B, 2019, 242, 63–68 CrossRef CAS .
  3. L. Liu, M. Qing, Y. Wang and S. Chen, J. Mater. Sci. Technol., 2015, 31, 599–606 CrossRef CAS .
  4. M. Salehi, P. Bastani, L. Jamilpanah, A. Madani, S. M. Mohseni and B. Shokri, Sci. Rep., 2021, 11, 20334 CrossRef CAS PubMed .
  5. H. Huang, S. Chen, A. Wee and W. Chen, Graphene, Elsevier, 2014, pp. 177–198 Search PubMed .
  6. Z. Li, P. Wu, C. Wang, X. Fan, W. Zhang, X. Zhai, C. Zeng, Z. Li, J. Yang and J. Hou, ACS Nano, 2011, 5, 3385–3390 CrossRef CAS PubMed .
  7. M. Saeed, Y. Alshammari, S. A. Majeed and E. Al-Nasrallah, Molecules, 2020, 25, 3856 CrossRef CAS PubMed .
  8. Y. Hernandez, V. Nicolosi, M. Lotya, F. M. Blighe, Z. Sun, S. De, I. McGovern, B. Holland, M. Byrne and Y. K. Gun'Ko, Nat. Nanotechnol., 2008, 3, 563–568 CrossRef CAS PubMed .
  9. L. Chai, X.-j Cui, Y.-q Qi, N. Teng, X.-l Hou and T.-s Deng, New Carbon Mater., 2021, 36, 1179–1186 CrossRef CAS .
  10. S. Pei and H.-M. Cheng, Carbon, 2012, 50, 3210–3228 CrossRef CAS .
  11. V. Agarwal and P. B. Zetterlund, Chem. Eng. J., 2021, 405, 127018 CrossRef CAS .
  12. M. Latorre-Sánchez, A. Primo, P. Atienzar, A. Forneli and H. García, Small, 2015, 11, 970–975 CrossRef PubMed .
  13. A. Primo, A. Forneli, A. Corma and H. García, ChemSusChem, 2012, 5, 2207–2214 CrossRef CAS PubMed .
  14. X. Kong, Y. Zhu, H. Lei, C. Wang, Y. Zhao, E. Huo, X. Lin, Q. Zhang, M. Qian and W. Mateo, Chem. Eng. J., 2020, 125808 CrossRef CAS .
  15. Z. Wang, D. Shen, C. Wu and S. Gu, Green Chem., 2018, 20, 5031–5057 RSC .
  16. V. K. Das, Z. B. Shifrina and L. M. Bronstein, J. Mater. Chem. A, 2017, 5, 25131–25143 RSC .
  17. E. E. Mathew and B. Manoj, Carbon Lett., 2021, 1–20 Search PubMed .
  18. J. Wang, R. Zhao, M. Yang, Z. Liu and Z. Liu, J. Chem. Phys., 2013, 138, 084701 CrossRef PubMed .
  19. A. Eftekhari and H. Garcia, Mater. Today Chem., 2017, 4, 1–16 CrossRef .
  20. G. Rajasekaran, P. Narayanan and A. Parashar, Crit. Rev. Solid State Mater. Sci., 2016, 41, 47–71 CrossRef CAS .
  21. K. R. Pyun and S. H. Ko, Mater. Today Energy, 2019, 12, 431–442 CrossRef .
  22. Y. V. Skrypnyk and V. M. Loktev, Phys. Rev. B: Condens. Matter Mater. Phys., 2010, 82, 085436 CrossRef .
  23. A. Zandiatashbar, G.-H. Lee, S. J. An, S. Lee, N. Mathew, M. Terrones, T. Hayashi, C. R. Picu, J. Hone and N. Koratkar, Nat. Commun., 2014, 5, 3186 CrossRef PubMed .
  24. S. K. Tiwari, R. K. Mishra, S. K. Ha and A. Huczko, ChemNanoMat, 2018, 4, 598–620 CrossRef CAS .
  25. L. Li, S. Reich and J. Robertson, Phys. Rev. B: Condens. Matter Mater. Phys., 2005, 72, 184109 CrossRef .
  26. J. C. Meyer, C. Kisielowski, R. Erni, M. D. Rossell, M. F. Crommie and A. Zettl, Nano Lett., 2008, 8, 3582–3586 CrossRef CAS PubMed .
  27. A. Nascimento and R. Nunes, Nanotechnology, 2013, 24, 435707 CrossRef CAS PubMed .
  28. A. El-Barbary, R. Telling, C. Ewels, M. Heggie and P. Briddon, Phys. Rev. B: Condens. Matter Mater. Phys., 2003, 68, 144107 CrossRef .
  29. H. C. Schniepp, J.-L. Li, M. J. McAllister, H. Sai, M. Herrera-Alonso, D. H. Adamson, R. K. Prud'homme, R. Car, D. A. Saville and I. A. Aksay, J. Phys. Chem. B, 2006, 110, 8535–8539 CrossRef CAS PubMed .
  30. L. Liu, K. T. Rim, D. Eom, T. F. Heinz and G. W. Flynn, Nano Lett., 2008, 8, 1872–1878 CrossRef CAS PubMed .
  31. S. Naghdi, K. Y. Rhee and S. J. Park, Carbon, 2018, 127, 1–12 CrossRef CAS .
  32. J.-b Wang, Z. Ren, Y. Hou, X.-l Yan, P.-z Liu, H. Zhang, H.-x Zhang and J.-j Guo, New Carbon Mater., 2020, 35, 193–208 CrossRef CAS .
  33. G. Nandamuri, S. Roumimov and R. Solanki, Nanotechnology, 2010, 21, 145604 CrossRef CAS PubMed .
  34. M. Qi, Y. Zhou, F. Hu, X. Xu, W. Li, A. Li, J. Bai and Z. Ren, J. Phys. Chem. C, 2014, 118, 15054–15060 CrossRef CAS .
  35. C. Wang, B. Xiao and Y.-H. Ding, New J. Chem., 2013, 37, 640–645 RSC .
  36. B. Xiao, X.-f Yu and Y.-h Ding, J. Mol. Model., 2014, 20, 2125 CrossRef PubMed .
  37. S. Wang, W. Zhang, P. Huai, W. Gong and Z. Zhu, Chem. Phys. Lett., 2013, 567, 43–47 CrossRef CAS .
  38. J. Li and L. Kang, Int. J. Quantum Chem., 2021, 121, e26561 CAS .
  39. G.-L. Chai, Z. Hou, D.-J. Shu, T. Ikeda and K. Terakura, J. Am. Chem. Soc., 2014, 136, 13629–13640 CrossRef CAS PubMed .
  40. S. Liu, Y. Zhang, B. Ge, F. Zheng, N. Zhang, M. Zuo, Y. Yang and Q. Chen, Adv. Mater., 2021, 33, 2103133 CrossRef CAS PubMed .
  41. D. Liu, Y. Tong, X. Yan, J. Liang and S. X. Dou, Batteries Supercaps, 2019, 2, 743–765 CrossRef .
  42. L.-H. Zhang, Y. Shi, Y. Wang and N. R. Shiju, Adv. Sci., 2020, 7, 1902126 CrossRef CAS PubMed .
  43. H. Yin, X. Shi, C. He, M. Martinez-Canales, J. Li, C. J. Pickard, C. Tang, T. Ouyang, C. Zhang and J. Zhong, Phys. Rev. B, 2019, 99, 041405 CrossRef CAS .
  44. P. Giannozzi, S. Baroni, N. Bonini, M. Calandra, R. Car, C. Cavazzoni, D. Ceresoli, G. L. Chiarotti, M. Cococcioni and I. Dabo, J. Phys.: Condens. Matter, 2009, 21, 395502 CrossRef PubMed .
  45. P. Giannozzi, O. Andreussi, T. Brumme, O. Bunau, M. B. Nardelli, M. Calandra, R. Car, C. Cavazzoni, D. Ceresoli and M. Cococcioni, J. Phys.: Condens. Matter, 2017, 29, 465901 CrossRef CAS PubMed .
  46. J. P. Perdew, K. Burke and M. Ernzerhof, Phys. Rev. Lett., 1996, 77, 3865 CrossRef CAS PubMed .
  47. J. P. Perdew, A. Ruzsinszky, G. I. Csonka, O. A. Vydrov, G. E. Scuseria, L. A. Constantin, X. Zhou and K. Burke, Phys. Rev. Lett., 2008, 100, 136406 CrossRef PubMed .
  48. H. J. Monkhorst and J. D. Pack, Phys. Rev. B: Solid State, 1976, 13, 5188 CrossRef .
  49. S. Grimme, J. Antony, S. Ehrlich and H. Krieg, J. Chem. Phys., 2010, 132, 154104 CrossRef PubMed .
  50. G. Henkelman, B. P. Uberuaga and H. Jónsson, J. Chem. Phys., 2000, 113, 9901–9904 CrossRef CAS .
  51. H. Jónsson, G. Mills and K. W. Jacobsen, Classical and Quantum Dynamics in Condensed Phase Simulations, 1998, 385–404.

Footnote

Electronic supplementary information (ESI) available: The effect of supercell size on defect formation energy and the criteria to distinguish between physisorption and chemisorption are included. An estimation of the entropic effects on the reaction free energies is presented. A geometric analysis is provided corresponding to all the studied reactions in Tables 1 and 2, as well as the corresponding energies in Tables S1–S13. Also, the energies attributed to these paths are discussed. To facilitate this discussion, Fig. 1 and Tables 1–3 are reproduced. See DOI: https://doi.org/10.1039/d2cp05233d

This journal is © the Owner Societies 2023
Click here to see how this site uses Cookies. View our privacy policy here.