Indian Journal of Pure and Applied Physics

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DFT Study of Hexagonal Boron Nitride Electronic Properties Using Different Types of Exchange Correlation Functionals


Affiliations
1 Department of Physics, College of Education, University of Kirkuk, Kirkuk 52001, Iraq
2 Open Educational College, Kirkuk 52001, Iraq
 

Density functional theory (DFT) description of electronic structure and related properties offer significant accuracy with low cost. Unfortunately, most of these calculations based on LDA and GGA Exchange-Correlation (XC) functionals are underestimating the energy band gap. Hybrid functionals seem promising candidates for band gap values enhancement. Hexagonal Boron Nitride (h-BN) is one of the important members of the graphene-like two-dimensional honeycomb structure family which is of great importance both for science and technology. Experimentally, there is convincing evidence for an indirect wide bandgap of about 6 eV. We present in this work a systematic DFT study using different types of Exchange-Correlation (XC) functionals to find out their accuracy to estimate the h-BN band gap along with its band structure and density of states. We tested five types of different functionals to study the band structure and density of states of a single-layer h-BN. Small differences have been noticed regarding band structure and density of state details. Nevertheless, HSE03 deduced the band gap accurately within a 3.4% deviation from the experimental value compared with LDA which showed a 24.4% error.

Keywords

DFT; First principles; H-BN; Electronic structure; Band gap; Hybrid functional
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  • Munef R A, Ghaleb A M & Shihatha A T, Tikrit J Pure Sci, 26 (2021) 75.

  • Kohn W & Sham L J, Phys Rev, 140 (1965) A1133.

  • Hassan I Z Aydin M & Jalal S, AIP Conf Proc, 2213 (2020).

  • Geim A K & Novoselov K S, Nature Materials, 6 (2007) 183.

  • Kim K S, et al., Nature, 457 (2009) 706.

  • Novoselov K S, et al. www.pnas.orgcgi (2005), doi10.1073pnas.0502848102.

  • Kharadi M A, et al., ECS J Sol State Sci Technol, 9 (2020) 115031.

  • Malyi O I, Sopiha K V & Persson C, ACS Appl Mater Interf, 11 (2019) 24876.

  • Ferrari A C, et al., Nanoscale, 7 (2015) 4598.

  • Oughaddou H, et al., Prog Surf Sci, 90 (2015) 46.

  • Pakdel A Bando Y & Golberg D, Chem Soc Rev, 43 (2014) 934.

  • Li H, Shi Y, Chiu M H & Li L, J Nano Energy, 18 (2015) 293.

  • Banks C E & Brownson D A C 2D Mater, (2018).

  • Xu M, Liang T, Shi M & Chen H, Chem Rev, 113 (2013) 3766.

  • Abed H H, et al., (2022) doi:10.21203/rs.3.rs-1999342/v1.

  • Kianinia M, Xu Z Q, Toth M & Aharonovich I, Appl Phys Rev, 9 (2022). https://doi.org/10.1063/5.0072091.

  • Zhao M, et al., Crystals, 12 (2022) https://doi.org/10.3390/cryst12081087.

  • Vatanparast M & Shariatinia Z, J Mol Graph Model, 89 (2019) 50.

  • Wu J, et al., Mater Today Energy, 28 (2022) 101065.

  • Zhang K, Feng Y, Wang F, Yang Z & Wang J, J Mater Chem C, 5 (2017) 11992.

  • Nag A, et al., ACS Nano, 4 (2010) 1539.

  • Kim D, Lee Y, Chacón A & Kim D E, Symmetry (Basel), 14 (2022).

  • Hassan I Z & Ali E M, Turkish J Comput Math Educat, 12 (2021) 1269.

  • Malozovsky Y, Bamba C, Stewart A, Franklin L & Bagayoko D, J Mod Phys, 11 (2020) 928.

  • Paleari F, et al., 2D Mater, 5 (2018) 045017.

  • Casiano-Jiménez G, Ortega-López C, Rodríguez-Martínez J A, Moreno-Armenta M G & Espitia-Rico M J, Coatings, 12 (2022).

  • Zhang X, Kang L & Zhu M, Int J Mol Sci, 23 (2022) 9997.

  • Dean C R, et al., Nature Nanotechnol, 5 (2010) 722.

  • Ogawa S Fukushima S & Shimatani M, Materials, 16 (2023).

  • Wang Y, et al., Nanoscale, 10 (2017) 167.

  • Yang X, Zhang R, Pu J, He Z & Xiong L, Corrosion Rev, 39 (2021) 93.

  • Chen Y, Tan C, Zhang H & Wang L, Chem Soc Rev, 44 (2015) 2681.

  • Li Y, et al., RSC Adv, 9 (2019) 29805.

  • Safari L, Vessally E, Bekhradnia A, Hosseinian A & Edjlali L, Thin Solid Films, 623 (2017) 157.

  • Chettri B, Patra P K, Hieu N N & Rai D P, Surf Interf, 24 (2021).

  • Fartab D S & Kordbacheh A A, Superlattices Microstruct, 118 (2018) 185.

  • Li S, Pershin A, Thiering G, Udvarhelyi P & Gali A, J Phys Chem Lett, 13 (2022) 3150.

  • Abed H H, et al. (2022) doi:10.21203/rs.3.rs-1999342/v1.

  • Cassabois G, Valvin P & Gil B, Nat Photon, 10 (2016) 262.

  • Niraula P, Dissertations, Theses, and Capstone Projects (2020).

  • Beiranvand R &Valedbagi S, Optik (Stuttg) 127 (2016) 1553.

  • Clark S J et al., Zeitschrift fur Kristallographie, 220 (2005) 567.

  • Pelá R Ret al., Appl Phys Lett, 98 (2011) 151907.

  • Ceperley D M & Alder B J, Phys Rev Lett, 45 (1980) 566.

  • Perdew J P & Zunger A, Phys Rev B, 23 (1981) 5048.

  • Perdew J P, Burke K & Ernzerhof M, Phys Rev Lett, 77 (1996) 3865.

  • Perdew J P, et al., Phys Rev Lett, 100 (2008) 136406.

  • Heyd J, Scuseria G E & Ernzerhof M, J Chem Phys, 118 (2003) 8207.

  • Heyd J & Scuseria G E, J Chem Phys, 121 (2004) 1187.

  • Krukau A V, Vydrov O, AIzmaylov A F & Scuseria G E, J Chem Phys, 125 (2006) 224106.

  • Latil S, Amara H & Sponza L Sci Post Phys, 14 (2022) 53.

  • Wang Y, Wisesa P, Balasubramanian A, Dwaraknath S & Mueller T, Comput Mater Sci, 187 (2021) 110100.

  • Pfrommer B G, Côté M, Louie S G & Cohen M L, J Comput Phys, 131 (1997) 233.

  • Ooi N, Rajan V, Gottlieb J, Catherine Y & Adams J B, Model Simul Mat Sci Eng, 14 (2006) 515.

  • Usachov D, et al., Phys Rev B Condens Matter Mater Phys, 86 (2012) 155151.

  • The Oxford Solid State Basics | University of Oxford Podcasts. https://podcasts.ox.ac.uk/series/oxford-solid-state-basics.

  • Anees P, Valsakumar M C & Panigrahi B K, Phys Chem Chem Phys, 18 (2016) 2672.


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  • DFT Study of Hexagonal Boron Nitride Electronic Properties Using Different Types of Exchange Correlation Functionals

Abstract Views: 95  |  PDF Views: 55

Authors

Issa Z. Hassan
Department of Physics, College of Education, University of Kirkuk, Kirkuk 52001, Iraq
Hassan A. Kadhem
Open Educational College, Kirkuk 52001, Iraq
Abdul Hakim Sh. Mohammed
Department of Physics, College of Education, University of Kirkuk, Kirkuk 52001, Iraq

Abstract


Density functional theory (DFT) description of electronic structure and related properties offer significant accuracy with low cost. Unfortunately, most of these calculations based on LDA and GGA Exchange-Correlation (XC) functionals are underestimating the energy band gap. Hybrid functionals seem promising candidates for band gap values enhancement. Hexagonal Boron Nitride (h-BN) is one of the important members of the graphene-like two-dimensional honeycomb structure family which is of great importance both for science and technology. Experimentally, there is convincing evidence for an indirect wide bandgap of about 6 eV. We present in this work a systematic DFT study using different types of Exchange-Correlation (XC) functionals to find out their accuracy to estimate the h-BN band gap along with its band structure and density of states. We tested five types of different functionals to study the band structure and density of states of a single-layer h-BN. Small differences have been noticed regarding band structure and density of state details. Nevertheless, HSE03 deduced the band gap accurately within a 3.4% deviation from the experimental value compared with LDA which showed a 24.4% error.

Keywords


DFT; First principles; H-BN; Electronic structure; Band gap; Hybrid functional

References