Open AccessThe misconception in graphene’s dispersion energy simulations
Author(s) -
Syella Ayunisa Rani,
Heru Kuswanto,
Himawan Putranta,
Aditya Yoga Purnama,
Wipsar Sunu Brams Dwandaru
Publication year - 2022
Publication title -
revista mexicana de física e
Language(s) - English
Resource type - Journals
eISSN - 2683-2216
pISSN - 1870-3542
DOI - 10.31349/revmexfise.19.010208
Subject(s) - graphene , dispersion (optics) , dispersion relation , lattice (music) , range (aeronautics) , valence (chemistry) , diagonal , physics , statistical physics , mathematics , quantum mechanics , materials science , geometry , acoustics , composite material
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.