Next Article in Journal
Novel Magnetite (Fe3O4)-Methylcellulose Nanocomposites Synthesized Using the Reverse Co-Precipitation Approach
Next Article in Special Issue
Molecular Dynamics Simulations of Effects of Geometric Parameters and Temperature on Mechanical Properties of Single-Walled Carbon Nanotubes
Previous Article in Journal
Woven Fabrics for Composite Reinforcement: A Review
Previous Article in Special Issue
Multiscale Modeling of Elastic Waves in Carbon-Nanotube-Based Composite Membranes
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Ab Initio Modelling of g-ZnO Deposition on the Si (111) Surface

1
Faculty of Physics and Technology, Department of Technical Physics, L.N. Gumilyov Eurasian National University, 2 Satpayev Str., Nur-Sultan 010000, Kazakhstan
2
Institute of Solid State Physics, University of Latvia, 1001-1084 Riga, Latvia
3
Institute of Energy and Mechanical Engineering, Satbayev University, Almaty 050040, Kazakhstan
*
Author to whom correspondence should be addressed.
J. Compos. Sci. 2024, 8(7), 281; https://doi.org/10.3390/jcs8070281
Submission received: 12 June 2024 / Revised: 15 July 2024 / Accepted: 17 July 2024 / Published: 20 July 2024
(This article belongs to the Special Issue Theoretical and Computational Investigation on Composite Materials)

Abstract

:
Recent studies show that zinc oxide (ZnO) nanostructures have promising potential as an absorbing material. In order to improve the optoelectronic properties of the initial system, this paper considers the process of adsorbing multilayer graphene-like ZnO onto a Si (111) surface. The density of electron states for two- and three-layer graphene-like zinc oxide on the Si (111) surface was obtained using the Vienna ab-initio simulation package by the DFT method. A computer model of graphene-like Zinc oxide on a Si (111)-surface was created using the DFT+U approach. One-, two- and three-plane-thick graphene-zinc oxide were deposited on the substrate. An isolated cluster of Zn3O3 was also considered. The compatibility of g-ZnO with the S (100) substrate was tested, and the energetics of deposition were calculated. This study demonstrates that, regardless of the possible configuration of the adsorbing layers, the Si/ZnO structure remains stable at the interface. Calculations indicate that, in combination with lower formation energies, wurtzite-type structures turn out to be more stable and, compared to sphalerite-type structures, wurtzite-type structures form longer interlayers and shorter interplanar distances. It has been shown that during the deposition of the third layer, the growth of a wurtzite-type structure becomes exothermic. Thus, these findings suggest a predictable relationship between the application method and the number of layers, implying that the synthesis process can be modified. Consequently, we believe that such interfaces can be obtained through experimental synthesis.

1. Introduction

Graphene-like ZnO (g-ZnO) nanostructures are currently being investigated, which are interesting as nanomaterials not only because of their electrical and mechanical properties [1,2,3] but also because of their interesting structure and morphology [4]. Primarily, zinc oxide is characterized by a wide band gap (3.37 eV), high exciton binding energy (60 MeV) and natural n-type electrical conductivity [5,6]. The ZnO nanostructure is one of the safest semiconductor materials and is distinguished by such properties as low toxicity, thermal stability, large specific surface area and high electron mobility, which gives this structure great potential for numerous uses in sensor applications [7,8,9,10]. In particular, nanowires [11], nanorods [12], and nanotubes [13] are of interest, which are obtained from nanoparticles, that is, one-dimensional semiconductor nanostructures are given more attention because of their elongated morphology with a large ratio of surface area to their volume [14]. These structures, obtained with the help of ZnO nanoparticles, make these one-dimensional semiconductor materials promising for use in various areas of nanotechnology due to their uniqueness and diverse set of positive characteristics.
To expand the range of application of ZnO, researchers apply various methods of modification of the crystal structure using both experimental and theoretical methods of deposition and alloying with various structures [15,16,17,18,19]. The synthesis of zinc oxide nanostructures can be carried out by many methods, such as depositing by surface epitaxy [20], the coprecipitation method [21] and chemical bath deposition [22]. Thus, due to the excellent properties of ZnO, many works are devoted to the effect of doping of various molecules on the surface of ZnO. For example, in [23], the influence of manganese doping sites of different depths on the electromagnetic properties of ZnO, which makes it possible to obtain ferromagnetism or antiferromagnetism, is reported. The study in [24] shows the effect of silicon doping on the electrical, optical, and magnetic properties of ZnO. And in [25], the effect of co-doping with carbon and silicon on the optoelectronic properties of ZnO is shown. In addition, silicon plays an important role in the modern semiconductor direction and is an alloying impurity that predominantly occupies cationic positions in AIIIBV semiconductors to improve their electrical and optical properties [26].
Theoretical methods that save time and resources are potentially of great interest [27,28,29]. So, in order to study and calculate the adsorption energies of the studied systems, we performed density functional theory (DFT) calculations. DFT is a computational method that uses the fundamental laws of quantum mechanics to calculate the electronic structure of atoms, molecules, and solids [30,31]. This modelling method is widely used to calculate the electronic properties of systems with a multilayer nanostructure and shows good convergence results between the experiment and the DFT computational experiment [32].
To the best of our knowledge, there is no theoretical study of graphene-like ZnO adsorbed by two and three layers on the terminated surface of Si (111). Substantial efforts have been made in studying the process of ZnO growth on Si substrates, experimentally and computationally [33]. Yet, the structural stability of the interface between the materials needs to be investigated further. To examine the deposition of the initial g-ZnO layers on the Si (111) surface at the atomistic level, we performed computational modelling of the process.

2. Models and Methods

Modelling of g-ZnO/Si (111) interfaces was performed by the DFT + U method, as implemented in the computer code VASP5.3 [34]. Core electrons were substituted by the PAW potentials [35], standard version. The PBE [36] exchange-correlation functional was used. The Hubbard correction was applied by the Lichtenstein method [37]. U and J parameters were chosen, based on other theoretical studies (Table 1).
The plane wave basis set was restricted to 400 eV. The Brillouin zone for interface calculations was sampled by the Monkhorst-Pack scheme [41] 4 × 4 × 2. The surface was modelled as the 8-plane (4-layer)-thick slab with the surface cell of 7.53 × 7.53 Å and the vacuum gap of 17 Å. A complete geometry optimization was performed for the Si bulk. The Si (111) unreconstructed surface is considered as a model substrate for adsorption modelling. As was shown experimentally [33], Si can be successfully used for this purpose. The Si slab’s optimization as well as the g-ZnO plane’s deposition, was achieved by keeping the parameters of the surface cell fixed to simulate a rigid substrate. The reference ZnO monolayer was optimized completely (Figure 1), forming a flat (interplanar distance = 0 Å) layer [42].
No vdW interaction was taken into account, although it is beneficial for calculating the absolute energy values [43]. However, the main qualitative conclusions remain the same, since they are based not on the absolute values but on the interactive differences between them (Equation (1)). The energy values are given relative to the structural (surface) units, which makes comparison with other studies straightforward. The surface energy was calculated relative to the bulk and normalized to a 3.76 × 3.76 Å surface unit (or 0.25 of the surface area cell, as shown in Figure 2a).

3. Results and Discussion

The Si (111) surface implies the possibility of two terminations—with closed (Figure 2a,c) and open packing (Figure 2b,d)—with surface energies of 1.43 eV/surf.unit (117 meV/Å2) and 2.79eV/surf.unit, which are in good agreement with the value of 124.5 meV/Å from [44]. Therefore, the termination with open packaging, which is energetically very unfavourable, was eliminated from further modelling.
The structure of ZnO, both sphalerite- (Figure 3a) and wurtzite-type (Figure 3b), makes it suitable for a planar deposition on Si substrate.
The calculated g-ZnO formation energy is 0.5 eV per ZnO f.u. The ZnO (111) monolayer lattice constant is 80% of that for the Si (111) surface, which makes the materials compatible. The difference between sphalerite- and wurtzite-type structures is in stacking order (Figure 3). Due to the small difference in energy (<0.03 eV), both types have been considered.
Two types of stacking—sphalerite and wurtzite—have been modelled, relative to the Si and relative to the ZnO surface layer (Figure 4).
The deposition energy of g-ZnO has been calculated differentially, relative to the monolayer:
E + g - Z n O = E N g - Z n O   ( E N 1 g - Z n O + E M L   g - Z n O )
where E N g - Z n O —the energy of the system with N deposited g-ZnO layers,
E N 1 g - Z n O —the energy of the system with (N − 1) deposited g-ZnO layers,
E M L   g - Z n O —the energy of g-ZnO (MonoLayer).
The values have been normalized to the ZnO formula unit in the g-ZnO monolayer.
Deposited on the Si (111) surface, the ZnO monolayer was stretched to match the lattice constant of Si. The g-ZnO monolayer was deposited with oxygen anions forming bonds with silicon cations. Zn cations have been placed, depending on the type of the interface, atop of the subsurface Si cation (sphalerite-type) (Figure 4a) and atop of the surface Si cations (wurtzite-type) (Figure 4f). In both cases, oxygen formed strong bonds with Si from the surface layer. Due to the lattice constant mismatch, the ZnO monolayer was stretched flat without the gap between the Zn and the O planes as in the bulk (Figure 3). Energetically, it requires 0.12 and 0.04 eV to per ZnO f.u. (Table 2) to deposit the monolayer in sphalerite and wurtzite stacking., which makes the latter type of deposition more likely to occur. Yet, the sphalerite type of adsorption is structurally stable and therefore shall not be completely eliminated. The first g-ZnO ML builds an interface between the two materials and provides better sorption conditions (more energetically favourable) for the next layers of ZnO.
Two and three ZnO planes were deposited in sphalerite or wurtzite order, relative to the interface ZnO layer. So, total ten stacking combinations were investigated. All of them appeared to be structurally stable.
The smallest Zn-O interplanar was observed in the last deposited layer (exposed to the vacuum) (Table 3, Figure 5a). Wurtzite-type ZnO stacking has, in general, smaller interplanar distances than those of sphalerite type. As the number of deposited ZnO layers grows, the interplanar distance becomes smaller.
The interlayer distance is the largest in the last deposited ZnO layer. The sphalerite-type Si/ZnO interface demonstrated larger interlayer distances. The interlayer distance increases with the number of deposited ZnO layers (Table 3, Figure 5b).
The energetic analysis of the process reveals that the deposition of the first g-ZnO either in sphalerite or wurtzite configuration requires extremely low energy. The deposition of the second layer also requires energy, and the absolute values are below 0.6eV per ZnO f.u. (Figure 6). Overall, the wurtzite ZnO structure is more favourable, which is in agreement with the study [33]. The deposition of the third layer, however, is qualitatively different for wurtzite and sphalerite structures. The former appears to be exothermic, which makes the further deposition self-sustaining.
For reference, the energy levels, relative to ZnO ML (Equation (2)), are listed in Table 4. The energy levels clearly demonstrate the decrease in total energy after the deposition of the third layer of ZnO in the wurtzite-type stacked structure.
E r e f ,   = E N g - Z n O ( E S i + N E M L g - Z n O )
where E N g - Z n O is the energy of the system with N deposited g-ZnO layers, E S i is the energy of the substrate, and E M L   g Z n O is the energy of g-ZnO (MonoLayer).
All g-ZnO/Si (111) systems appeared to be conducting, which makes such interfaces a promising material for microelectronics. Although the state could be different for thicker systems, in our ultra-thin film model, no band gap was observed.

4. Conclusions

A detailed analysis of g-ZnO deposition on the Si (111) ultra-thin film revealed that adsorption of the g-ZnO monolayer requires a negligible, small amount of energy. Regardless of the Si/ZnO adsorption configuration, the structure of the interface is stable. In comparison to sphalerite-type stacking, the wurtzite-like one forms longer interlayer and shorter interplanar distances. In combination with lower formation energies, wurtzite-type structures appear to be more stable. Moreover, already at the third layer deposition step, the growth of the wurtzite-type structure becomes exothermic. This indicates a possibility to synthesize such interfaces experimentally.
The present study reveals the key energetic characteristics of a hexagonal-type interface and the process of epitaxial growth of a polymorph material on a structurally compatible substrate. The results of the study suggest that the method of deposition can be changed, depending on the number of deposited layers.

Author Contributions

Conceptualization, A.A. and Y.M.; methodology, A.A. and D.Y.; software, A.A.; validation, A.A., Y.M. and D.Y; formal analysis, A.A., Y.M. and D.Y; investigation, A.A., Y.M. and D.Y.; data curation, A.A. and Y.M.; writing—original draft preparation, A.A., Y.M. and D.Y; writing—review and editing, Y.M. and D.Y; visualization, A.A.; supervision, Y.M.; project administration, Y.M. and D.Y.; funding acquisition, A.A. and D.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research has been funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan—«Zhas Galym» 2022/2024 grant No. AP14972733.

Data Availability Statement

Data will be made available upon reasonable request to the corresponding author.

Acknowledgments

A.A. thanks the State Education Development Agency of the Republic of Latvian for the state research scholarship in academic year 2019/2020 (decision No. 1.50.3/2867).

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Mohamed, K.M.; Benitto, J.J.; Vijaya, J.J.; Bououdina, M. Recent Advances in ZnO-Based Nanostructures for the Photocatalytic Degradation of Hazardous, Non-Biodegradable Medicines. Crystals 2023, 13, 329. [Google Scholar] [CrossRef]
  2. Sheikhi, S.; Aliannezhadi, M.; Tehrani, F.S. The Effect of PEGylation on Optical and Structural Properties of ZnO Nanostructures for Photocatalyst and Photodynamic Applications. Mater. Today Commun. 2023, 34, 105103. [Google Scholar] [CrossRef]
  3. Alnaim, N.; Kumar, S.; Alshoaibi, A. Structural, Morphological, Electronic Structural, Optical, and Magnetic Properties of ZnO Nanostructures. Materials 2022, 15, 8889. [Google Scholar] [CrossRef] [PubMed]
  4. Morandi, S.; Fioravanti, A.; Cerrato, G.; Lettieri, S.; Sacerdoti, M.; Carotta, M.C. Facile Synthesis of ZnO Nano-Structures: Morphology Influence on Electronic Properties. Sens. Actuators B Chem. 2017, 249, 581–589. [Google Scholar] [CrossRef]
  5. Ayoub, I.; Kumar, V.; Abolhassani, R.; Sehgal, R.; Sharma, V.; Sehgal, R.; Swart, H.C.; Mishra, Y.K. Advances in ZnO: Manipulation of Defects for Enhancing Their Technological Potentials. Nanotechnol. Rev. 2022, 11, 575–619. [Google Scholar] [CrossRef]
  6. Bhandari, K.P.; Sapkota, D.R.; Jamarkattel, M.K.; Stillion, Q.; Collins, R.W. Zinc Oxide Nanoparticles—Solution-Based Synthesis and Characterizations. Nanomaterials 2023, 13, 1795. [Google Scholar] [CrossRef] [PubMed]
  7. Ortiz-Casas, B.; Galdámez-Martínez, A.; Gutiérrez-Flores, J.; Baca Ibañez, A.; Kumar Panda, P.; Santana, G.; de la Vega, H.A.; Suar, M.; Gutiérrez Rodelo, C.; Kaushik, A.; et al. Bio-Acceptable 0D and 1D ZnO Nanostructures for Cancer Diagnostics and Treatment. Mater. Today 2021, 50, 533–569. [Google Scholar] [CrossRef]
  8. Trivedi, S.; Nemade, H.B. ZnO Nanorod-based Love Wave Delay Line for High Mass Sensitivity: A Finite Element Analysis. IET Sci. Meas. Technol. 2019, 13, 1245–1253. [Google Scholar] [CrossRef]
  9. Ebert, M.; Ghazali, N.A.B.; Kiang, K.S.; Zeimpekis, I.; Maerz, B.; de Planque, M.R.R.; Chong, H.M.H. Multichannel ZnO Nanowire Field Effect Transistors by Lift-off Process. Nanotechnology 2018, 29, 415302. [Google Scholar] [CrossRef] [PubMed]
  10. Bardakas, A.; Kaidatzis, A.; Tsamis, C. A Review of Magnetoelectric Composites Based on ZnO Nanostructures. Appl. Sci. 2023, 13, 8378. [Google Scholar] [CrossRef]
  11. Schlur, L.; Calado, J.R.; Spitzer, D. Synthesis of Zinc Oxide Nanorods or Nanotubes on One Side of a Microcantilever. R. Soc. Open Sci. 2018, 5, 180510. [Google Scholar] [CrossRef] [PubMed]
  12. Del Gobbo, S.; Poolwong, J.; D’Elia, V.; Ogawa, M. Simultaneous Controlled Seeded-Growth and Doping of ZnO Nanorods with Aluminum and Cerium: Feasibility Assessment and Effect on Photocatalytic Activity. Cryst. Growth Des. 2020, 20, 5508–5525. [Google Scholar] [CrossRef]
  13. Rezaie, M.N.; Mohammadnejad, S.; Ahadzadeh, S. The Impact of ZnO Nanotube on the Performance of Hybrid Inorganic/Organic Light-Emitting Diode as a Single-Mode Ring-Core UV Waveguide. Surf. Interfaces 2022, 28, 101666. [Google Scholar] [CrossRef]
  14. Real, S.; Espíndola, O.; Zelaya, M.P.; Marin, O.; Comedi, D.; Tirado, M. Single-Step Zno Nanorod Bunches Formation on p-Type Si-Conductive Substrates by Electrophoretic Deposition. Surf. Interfaces 2021, 23, 100930. [Google Scholar] [CrossRef]
  15. Alshgari, R.A.; Ujjan, Z.A.; Shah, A.A.; Bhatti, M.A.; Tahira, A.; Shaikh, N.M.; Kumar, S.; Ibupoto, M.H.; Elhawary, A.; Nafady, A.; et al. ZnO Nanostructures Doped with Various Chloride Ion Concentrations for Efficient Photocatalytic Degradation of Methylene Blue in Alkaline and Acidic Media. Molecules 2022, 27, 8726. [Google Scholar] [CrossRef] [PubMed]
  16. Lahmer, M.A. Effect of Doping with Sulfur Atoms on the Electronic and Photocatalytic Properties of the ZnO(10 1 ¯ 0) Surface: A DFT+U Study. Comput. Condens. Matter 2022, 31, e00654. [Google Scholar] [CrossRef]
  17. Vaddadi, V.S.C.S.; Parne, S.R.; Pothukanuri, N.; Sriram, S.R.; Yelsani, V. Investigattions on ZnO Thin Films Modified with Urea: An Approach as Ammonia Sensor. ACS Omega 2023, 8, 17719–17730. [Google Scholar] [CrossRef] [PubMed]
  18. Zeljković, S.; Balaban, M.; Gajić, D.; Vračević, S.; Ivas, T.; Vranković, D.; Jelić, D. Mechanochemically Induced Synthesis of N-Ion Doped ZnO: Solar Photocatalytic Degradation of Methylene Blue. Green Chem. Lett. Rev. 2022, 15, 869–880. [Google Scholar] [CrossRef]
  19. Stoltz, K.R.; Echeverria, E.; Kaphle, A.; Austin, A.J.; Harikumar, P.; Yost, A.J.; McIlroy, D.N.; Borunda, M.F. Optimization of the U Parameter in CoO Groupings in ZnO(10 1 ¯ 0). Comput. Mater. Sci. 2021, 198, 110700. [Google Scholar] [CrossRef]
  20. Garratt, E.; Prete, P.; Lovergine, N.; Nikoobakht, B. Observation and Impact of a “Surface Skin Effect” on Lateral Growth of Nanocrystals. J. Phys. Chem. C 2017, 121, 14845–14853. [Google Scholar] [CrossRef]
  21. Ahmad, S.; Usman, M.; Hashim, M.; Ali, A.; Shah, R.; Rahman, N.U. Investigation of Optical and Dielectric Properties of Nickel-Doped Zinc Oxide Nanostructures Prepared via Coprecipitation Method. Nanomater. Nanotechnol. 2024, 2024, 8330886. [Google Scholar] [CrossRef]
  22. McPeak, K.M.; Baxter, J.B. ZnO Nanowires Grown by Chemical Bath Deposition in a Continuous Flow Microreactor. Cryst. Growth Des. 2009, 9, 4538–4545. [Google Scholar] [CrossRef]
  23. Wang, L.-H.; Fu, S.-L.; Wang, C.-A.; Gan, G.-R.; Xie, Y.-P.; Gao, X.-L. The Electromagnetic Properties of ZnO Quantum Dot with Different Mn-Doping Sites. J. Supercond. Nov. Magn. 2023, 36, 637–646. [Google Scholar] [CrossRef]
  24. Luo, J.T.; Zhu, X.Y.; Chen, G.; Zeng, F.; Pan, F. The Electrical, Optical and Magnetic Properties of Si-Doped ZnO Films. Appl. Surf. Sci. 2012, 258, 2177–2181. [Google Scholar] [CrossRef]
  25. Said, K.; Baghdad, R. Carbon and Silicon Co-Doping Effect on Microstructural and Optoelectronic Properties of ZnO: An Ab Initio Study. Optik 2022, 260, 169138. [Google Scholar] [CrossRef]
  26. Mohammadigharehbagh, R.; Özen, S.; Yudar, H.H.; Pat, S.; Korkmaz, Ş. The Electrical, Elemental, Optical, and Surface Properties of Si-Doped ZnO Thin Films Prepared by Thermionic Vacuum Arc. Mater. Res. Express 2017, 4, 096404. [Google Scholar] [CrossRef]
  27. Zhang, H.; Lu, S.; Xu, W.; Yuan, F. First-Principles Study of Si Atoms Adsorbed on ZnO (0001) Surface and the Effect on Electronic and Optical Properties. Surf. Sci. 2014, 625, 30–36. [Google Scholar] [CrossRef]
  28. Xu, H.-Y.; Zhang, S.-Q.; Wang, Y.-F.; Xu, Y.; Dong, L.-M.; Komarneni, S. New Insights into the Photocatalytic Mechanism of Pristine ZnO Nanocrystals: From Experiments to DFT Calculations. Appl. Surf. Sci. 2023, 614, 156225. [Google Scholar] [CrossRef]
  29. Rojas-Chávez, H.; Miralrio, A.; Hernández-Rodríguez, Y.M.; Cruz-Martínez, H.; Pérez-Pérez, R.; Cigarroa-Mayorga, O.E. Needle- and Cross-Linked ZnO Microstructures and Their Photocatalytic Activity Using Experimental and DFT Approach. Mater. Lett. 2021, 291, 129474. [Google Scholar] [CrossRef]
  30. van Mourik, T.; Bühl, M.; Gaigeot, M.-P. Density Functional Theory across Chemistry, Physics and Biology. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 2014, 372, 20120488. [Google Scholar] [CrossRef] [PubMed]
  31. Sibanda, D.; Oyinbo, S.T.; Jen, T.-C. A Review of Atomic Layer Deposition Modelling and Simulation Methodologies: Density Functional Theory and Molecular Dynamics. Nanotechnol. Rev. 2022, 11, 1332–1363. [Google Scholar] [CrossRef]
  32. Brahim, N.; Thotagamuge, R.; Kooh, M.; Lim, C.; Syaahiran, M.; Usman, A.; Shahri, N.; Chou Chau, Y.-F.; Chou Chao, C.-T.; Chiang, H.-P.; et al. Enhanced CO Gas Sensing with DFT Optimized PbS Loading on ZnO and CrZnO Nanocomposites. Sustainability 2022, 14, 13978. [Google Scholar] [CrossRef]
  33. Claeyssens, F.; Freeman, C.L.; Allan, N.L.; Sun, Y.; Ashfold, M.N.R.; Harding, J.H. Growth of ZnO Thin Films—Experiment and Theory. J. Mater. Chem. 2005, 15, 139–148. [Google Scholar] [CrossRef]
  34. Kresse, G.; Furthmüller, J. Efficient Iterative Schemes for Ab Initio Total-Energy Calculations Using a Plane-Wave Basis Set. Phys. Rev. B 1996, 54, 11169–11186. [Google Scholar] [CrossRef] [PubMed]
  35. Blöchl, P.E. Projector Augmented-Wave Method. Phys. Rev. B 1994, 50, 17953–17979. [Google Scholar] [CrossRef] [PubMed]
  36. Perdew, J.P.; Burke, K.; Ernzerhof, M. Generalized Gradient Approximation Made Simple. Phys. Rev. Lett. 1996, 77, 3865–3868. [Google Scholar] [CrossRef] [PubMed]
  37. Liechtenstein, A.I.; Anisimov, V.I.; Zaanen, J. Density-Functional Theory and Strong Interactions: Orbital Ordering in Mott-Hubbard Insulators. Phys. Rev. B 1995, 52, R5467–R5470. [Google Scholar] [CrossRef]
  38. Ramanarayanan, P.; Sabirianov, R.F.; Cho, K. Point Defect Energetics in Silicon Using the LDA+ U Method. arXiv 2003, arXiv:cond-mat/0310606. [Google Scholar]
  39. Lee, Y.-S.; Peng, Y.-C.; Lu, J.-H.; Zhu, Y.-R.; Wu, H.-C. Electronic and Optical Properties of Ga-Doped ZnO. Thin Solid Films 2014, 570, 464–470. [Google Scholar] [CrossRef]
  40. Ma, X.; Wu, Y.; Lv, Y.; Zhu, Y. Correlation Effects on Lattice Relaxation and Electronic Structure of ZnO within the GGA+U Formalism. J. Phys. Chem. C 2013, 117, 26029–26039. [Google Scholar] [CrossRef]
  41. Monkhorst, H.J.; Pack, J.D. Special Points for Brillouin-Zone Integrations. Phys. Rev. B 1976, 13, 5188–5192. [Google Scholar] [CrossRef]
  42. Ren, J.; Zhang, H.; Cheng, X. Electronic and Magnetic Properties of All 3d Transition-Metal-Doped ZnO Monolayers. Int. J. Quantum Chem. 2013, 113, 2243–2250. [Google Scholar] [CrossRef]
  43. Tau, O.; Lovergine, N.; Prete, P. Adsorption and Decomposition Steps on Cu(111) of Liquid Aromatic Hydrocarbon Precursors for Low-Temperature CVD of Graphene: A DFT Study. Carbon 2023, 206, 142–149. [Google Scholar] [CrossRef]
  44. Lu, G.-H.; Huang, M.; Cuma, M.; Liu, F. Relative Stability of Si Surfaces: A First-Principles Study. Surf. Sci. 2005, 588, 61–70. [Google Scholar] [CrossRef]
Figure 1. Graphene-like ZnO monolayer: 6.02 × 6.02 Å surface unit (dotted line), four ZnO formula units. Zn-O distance—1.74 Å. Gray and red balls denote Zn and O, respectively.
Figure 1. Graphene-like ZnO monolayer: 6.02 × 6.02 Å surface unit (dotted line), four ZnO formula units. Zn-O distance—1.74 Å. Gray and red balls denote Zn and O, respectively.
Jcs 08 00281 g001
Figure 2. Si (111) slab with closed (a,d) and open (b,d) packing. Top (a,b) (terminating layer only) and side (c,d) view. The edges of the supercell in the corresponding projections are defined by the lines.
Figure 2. Si (111) slab with closed (a,d) and open (b,d) packing. Top (a,b) (terminating layer only) and side (c,d) view. The edges of the supercell in the corresponding projections are defined by the lines.
Jcs 08 00281 g002
Figure 3. Sphalerite (a) and wurtzite-type (b) ZnO structures. Gray and red balls denote Zn an O, respectively.
Figure 3. Sphalerite (a) and wurtzite-type (b) ZnO structures. Gray and red balls denote Zn an O, respectively.
Jcs 08 00281 g003
Figure 4. Adsorption of 1 (a,f), 2 (b,d,g,i), and 3 (c,e,h,j) g-ZnO layers on the Si(111) surface. Sphalerite- (ae) and wurtzite-type (fj) Si/g-ZnO interface.
Figure 4. Adsorption of 1 (a,f), 2 (b,d,g,i), and 3 (c,e,h,j) g-ZnO layers on the Si(111) surface. Sphalerite- (ae) and wurtzite-type (fj) Si/g-ZnO interface.
Jcs 08 00281 g004aJcs 08 00281 g004b
Figure 5. Interplanar (a) Zn-O and interlayer (b) Si-O and Zn-O distances in g-ZnO/Si interfaces. Note that in this analysis ZnO layers are numbered from the surface.
Figure 5. Interplanar (a) Zn-O and interlayer (b) Si-O and Zn-O distances in g-ZnO/Si interfaces. Note that in this analysis ZnO layers are numbered from the surface.
Jcs 08 00281 g005
Figure 6. Adhesion energy of ZnO layers deposited on the Si(111) surface.
Figure 6. Adhesion energy of ZnO layers deposited on the Si(111) surface.
Jcs 08 00281 g006
Table 1. Potential details and Hubbard correction parameters for Si and ZnO.
Table 1. Potential details and Hubbard correction parameters for Si and ZnO.
PotentialsHubbard Correction
ElementFree ElectronsPotential Cut-Off Energy, eVOrbitalU, eVJ, eVSource
Si3s23p2245.345p04[38]
Zn3d104p2276.723d100[39,40]
O2s22p4400p70[39,40]
Table 2. Adsorption energy of the next g-ZnO layer on Si (g-ZnO) substrate in eV per ZnO formula unit (Equation (1)).
Table 2. Adsorption energy of the next g-ZnO layer on Si (g-ZnO) substrate in eV per ZnO formula unit (Equation (1)).
Si/g-ZnOZnO1 2 3
sphaleritesphalerite0.12Figure 4a0.56Figure 4b0.53Figure 4c
sphaleritewurtzite 0.49Figure 4d−0.07Figure 4e
wurtzitewurtzite0.04Figure 4f0.44Figure 4g−0.06Figure 4h
wurtzitesphalerite 0.57Figure 4i0.52Figure 4j
Table 3. Interplanar Zn-O (a) and interlayer Si-O and Zn-O distances in g-ZnO/Si interfaces (Å). The data are aligned starting from the vacuum.
Table 3. Interplanar Zn-O (a) and interlayer Si-O and Zn-O distances in g-ZnO/Si interfaces (Å). The data are aligned starting from the vacuum.
Number of ZnO Layers
Si/ZnO InterfaceZnO Stacking123
sphaleritewurtzitevacuum
0.290.160.15
1.711.861.89
Si0.620.49
1.691.81
Si0.61
1.69
Si
sphalerite vacuum
0.070.04
1.861.91
0.380.10
1.721.85
Si0.05
1.73
Si
wurtzitewurtzitevacuum
0.240.040.03
1.711.851.85
Si0.240.11
1.711.83
Si0.10
1.73
Si
sphalerite vacuum
0.170.12
1.861.88
0.490.46
1.681.81
Si0.49
1.68
Si
Table 4. Energy states (eV) calculated relative to ZnO monolayer.
Table 4. Energy states (eV) calculated relative to ZnO monolayer.
Si/ZnO SphaleriteNumber of ZnO LayersZnO Stacking
WurtziteSphalerite
sphalerite10.12
20.61
30.54
2 0.68
3 1.21
wurtzite10.04
20.48
30.42
2 0.62
3 1.14
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Alzhanova, A.; Mastrikov, Y.; Yerezhep, D. Ab Initio Modelling of g-ZnO Deposition on the Si (111) Surface. J. Compos. Sci. 2024, 8, 281. https://doi.org/10.3390/jcs8070281

AMA Style

Alzhanova A, Mastrikov Y, Yerezhep D. Ab Initio Modelling of g-ZnO Deposition on the Si (111) Surface. Journal of Composites Science. 2024; 8(7):281. https://doi.org/10.3390/jcs8070281

Chicago/Turabian Style

Alzhanova, Aliya, Yuri Mastrikov, and Darkhan Yerezhep. 2024. "Ab Initio Modelling of g-ZnO Deposition on the Si (111) Surface" Journal of Composites Science 8, no. 7: 281. https://doi.org/10.3390/jcs8070281

APA Style

Alzhanova, A., Mastrikov, Y., & Yerezhep, D. (2024). Ab Initio Modelling of g-ZnO Deposition on the Si (111) Surface. Journal of Composites Science, 8(7), 281. https://doi.org/10.3390/jcs8070281

Article Metrics

Back to TopTop