Journal of Materials Science

, Volume 48, Issue 23, pp 8235–8243 | Cite as

Elastic, optoelectronic, and thermal properties of cubic CSi2N4: an ab initio study

  • A. Haddou
  • H. Khachai
  • R. Khenata
  • F. Litimein
  • A. Bouhemadou
  • G. Murtaza
  • Z. A. Alahmed
  • S. Bin-Omran
  • B. Abbar


The mechanical, optoelectronic, and thermodynamic properties of carbon silicon nitride spinel compound have been investigated using density functional theory. The exchange–correlation potential was treated with the local density approximation (LDA) and the generalized gradient approximation of Perdew–Burke and Ernzerhof (PBE-GGA). In addition, the Engel–Vosko generalized gradient approximation (EV-GGA) and the modified Becke–Johnson potential (TB-mBJ) were also applied to improve the electronic band structure calculations. The ground state properties, including lattice constants and bulk modulus, are in fairly good agreement with the available theoretical data. The elastic constants, Young’s modulus, shear modulus, and Poisson’s ratio have been determined by using the variation of the total energy with strain. From the elastic parameters, it is inferred that this compound is brittle in nature. The results of the electronic band structure show that CSi2N4 has a direct energy band gap (ΓΓ). The TB-mBJ approximation yields larger fundamental band gaps compared to those of LDA, PBE-GGA, and EV-GGA. In addition, we have calculated the optical properties, namely, the real and the imaginary parts of the dielectric function, refractive index, extinction coefficient, reflectivity, and energy loss function for radiation up to 40.0 eV. Using the quasi-harmonic Debye model which considers the phononic effects, the effect of pressure P and temperature T on the lattice parameter, bulk modulus, thermal expansion coefficient, Debye temperature, and the heat capacity for this compound were investigated for the first time.


Bulk Modulus Debye Temperature Local Density Approximation Superhard Material Linearize Augmented Plane Wave 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



Khenata, Bouhemadou, Alahmed, and Bin Omran acknowledge the financial support by the Deanship of Scientific Research at the King Saud University for funding the work through the research group Project No. RPG-VPP-088. The work of Khachai has been supported by the Algerian national research projects PNR (No. 8/0/627).


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • A. Haddou
    • 1
    • 2
  • H. Khachai
    • 1
    • 2
  • R. Khenata
    • 3
  • F. Litimein
    • 1
  • A. Bouhemadou
    • 4
  • G. Murtaza
    • 5
  • Z. A. Alahmed
    • 6
  • S. Bin-Omran
    • 6
  • B. Abbar
    • 7
  1. 1.Physics DepartmentDjillali Liabes University of Sidi Bel-AbbesSidi Bel AbbèsAlgeria
  2. 2.Applied Materials Laboratory, Electronics DepartmentDjillali Liabes University of Sidi Bel-AbbesSidi Bel AbbèsAlgeria
  3. 3.Laboratoire de Physique Quantique et de Modélisation MathématiqueUniversité de MascaraMascaraAlgeria
  4. 4.Laboratory for Developing New Materials and their Characterization, Department of Physics, Faculty of ScienceUniversity of SetifSetifAlgeria
  5. 5.Materials Modeling Lab, Department of PhysicsIslamia College UniversityPeshawarPakistan
  6. 6.Department of Physics and Astronomy, College of ScienceKing Saud UniversityRiyadhSaudi Arabia
  7. 7.Laboratoire de Modélisation et Simulation en Sciences des Matériaux, Physics DepartmentDjillali Liabès University of Sidi Bel-AbbèsSidi Bel AbbèsAlgeria

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