The misconception in graphene’s dispersion energy simulations

Authors

DOI:

https://doi.org/10.31349/RevMexFisE.19.010208

Keywords:

Dispersion energy, graphene, simulations, Distance Learning, spreadsheet

Abstract

This study aims to find equations and simulations that satisfy the characteristics of graphene’s energy dispersion and identify misconceptions that may occur. Here we give students nine articles about graphene’s dispersion energy. They were asked to identify the equations, parameters, and software used in each of the articles. The assignment was then to make the distribution of the data in a spreadsheet. The parameters used were the lattice constant of 2.46 Å, the range of the k wave function for the x and y axes of -2πa to 2πa, and the interval for each range of 0.1. Each equation is divided into two parts, E(+) and E(-). The analysis was carried out by making a slice in the middle of the x and y axes, as well as the main and off-diagonals. Graphene has Dirac points where the band gap is zero. This means that there is no distance or very small distance between the valence and conduction bands. From this activity, it can be concluded that Rozhkov (2016) has the equations and simulations that best satisfy graphene’s dispersion energy. Misconceptions occur in almost all existing equations and simulations.

Author Biographies

Syella Ayunisa Rani, Graduate School, Universitas Negeri Yogyakarta

Physics Education

Heru Kuswanto, Graduate School, Universitas Negeri Yogyakarta

Physics Education

Himawan Putranta, Graduate School, Universitas Negeri Yogyakarta

Physics Education

Aditya Yoga Purnama, Graduate School, Universitas Negeri Yogyakarta

Physics Education

Wipsar Sunu Brams Dwandaru, Graduate School, Universitas Negeri Yogyakarta

Physics Education

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Published

2022-01-01

How to Cite

[1]
Syella Ayunisa Rani, Heru Kuswanto, Himawan Putranta, Aditya Yoga Purnama, and Wipsar Sunu Brams Dwandaru, “The misconception in graphene’s dispersion energy simulations”, Rev. Mex. Fis. E, vol. 19, no. 1 Jan-Jun, pp. 010208 1–, Jan. 2022.