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Gas sensor based on graphene sheet derivatives decorated by Ni and As atoms

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Gas sensor based on graphene sheet derivatives decorated by Ni and As atoms. / Al-Jobory, Alaa A.; Alotaibi, Turki; Ismael, Ali K.
In: Modern Physics Letters B, Vol. 37, No. 14, 2350036, 20.05.2023.

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Al-Jobory AA, Alotaibi T, Ismael AK. Gas sensor based on graphene sheet derivatives decorated by Ni and As atoms. Modern Physics Letters B. 2023 May 20;37(14):2350036. Epub 2023 Apr 8. doi: 10.1142/s0217984923500367

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Al-Jobory, Alaa A. ; Alotaibi, Turki ; Ismael, Ali K. / Gas sensor based on graphene sheet derivatives decorated by Ni and As atoms. In: Modern Physics Letters B. 2023 ; Vol. 37, No. 14.

Bibtex

@article{b70638fc82824ccca5fb51e0b717d6a7,
title = "Gas sensor based on graphene sheet derivatives decorated by Ni and As atoms",
abstract = "Studying toxic gases is more important because it is related to the health of humans. Therefore, it is appropriate to make some theoretical calculations to cover this topic. This study selectivity tunes the graphene derivatives{\textquoteright} ability to sense the most common gases in the atmosphere such as carbon monoxide, carbon dioxide, and oxygen. This involves a pristine and doped Gr-sheets complex with three gases. Density Functional Theory (DFT) was employed to investigate the electronic structures of 12 graphene-based sheets. The bandgap simulations demonstrate the effect of doping and complexing graphene sheets with different segments, that result in a sensing signature. The bandgap calculations also prove that the studied graphene derivatives selectively bind to different gases and this characteristic is in good agreement with the total energy calculations. Our results show that the electrical properties of graphene are improved with doping by Ni and As.",
keywords = "Condensed Matter Physics, Statistical and Nonlinear Physics",
author = "Al-Jobory, {Alaa A.} and Turki Alotaibi and Ismael, {Ali K.}",
year = "2023",
month = may,
day = "20",
doi = "10.1142/s0217984923500367",
language = "English",
volume = "37",
journal = "Modern Physics Letters B",
issn = "0217-9849",
publisher = "World Scientific Publishing Co. Pte Ltd",
number = "14",

}

RIS

TY - JOUR

T1 - Gas sensor based on graphene sheet derivatives decorated by Ni and As atoms

AU - Al-Jobory, Alaa A.

AU - Alotaibi, Turki

AU - Ismael, Ali K.

PY - 2023/5/20

Y1 - 2023/5/20

N2 - Studying toxic gases is more important because it is related to the health of humans. Therefore, it is appropriate to make some theoretical calculations to cover this topic. This study selectivity tunes the graphene derivatives’ ability to sense the most common gases in the atmosphere such as carbon monoxide, carbon dioxide, and oxygen. This involves a pristine and doped Gr-sheets complex with three gases. Density Functional Theory (DFT) was employed to investigate the electronic structures of 12 graphene-based sheets. The bandgap simulations demonstrate the effect of doping and complexing graphene sheets with different segments, that result in a sensing signature. The bandgap calculations also prove that the studied graphene derivatives selectively bind to different gases and this characteristic is in good agreement with the total energy calculations. Our results show that the electrical properties of graphene are improved with doping by Ni and As.

AB - Studying toxic gases is more important because it is related to the health of humans. Therefore, it is appropriate to make some theoretical calculations to cover this topic. This study selectivity tunes the graphene derivatives’ ability to sense the most common gases in the atmosphere such as carbon monoxide, carbon dioxide, and oxygen. This involves a pristine and doped Gr-sheets complex with three gases. Density Functional Theory (DFT) was employed to investigate the electronic structures of 12 graphene-based sheets. The bandgap simulations demonstrate the effect of doping and complexing graphene sheets with different segments, that result in a sensing signature. The bandgap calculations also prove that the studied graphene derivatives selectively bind to different gases and this characteristic is in good agreement with the total energy calculations. Our results show that the electrical properties of graphene are improved with doping by Ni and As.

KW - Condensed Matter Physics

KW - Statistical and Nonlinear Physics

U2 - 10.1142/s0217984923500367

DO - 10.1142/s0217984923500367

M3 - Journal article

VL - 37

JO - Modern Physics Letters B

JF - Modern Physics Letters B

SN - 0217-9849

IS - 14

M1 - 2350036

ER -