Evidence map›Paper›PMID 40833645›Full record

ArticleJournal of molecular modeling2025

Sensing attributes of ethylbenzene and methyl ethyl ketone vapours using novel β-arsenic nitride nanosheets based on first-principles study.

R Chandiramouli, A Varshini, V Nagarajan

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Article in Journal of molecular modeling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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3 authors.

R ChandiramouliSchool of Electrical & Electronics Engineering, SASTRA Deemed University, Tirumalaisamudram, Thanjavur, 613 401, India.
A VarshiniSchool of Electrical & Electronics Engineering, SASTRA Deemed University, Tirumalaisamudram, Thanjavur, 613 401, India.
V NagarajanSchool of Electrical & Electronics Engineering, SASTRA Deemed University, Tirumalaisamudram, Thanjavur, 613 401, India. rcmvgn@gmail.com.

Funding

DST-SERB funding (SUR/2022/000382)FIST funding (SR/FST/PS-1/2020/135)
6 · The paper itself

Abstract

contextIn this research study, we employed a novel group VA-VA two-dimensional material β-arsenic nitride (β-AsN) nanosheet to explore the adsorption behavior of ethylbenzene and methyl ethyl ketone using the density functional theory (DFT) method. Initially, the structural stability of the β-AsN is validated by formation energy and phonon band spectrum. With the influence of band structure and projected density of states (PDOS) spectrum, we investigated the electronic characteristics of β-AsN monolayer. The computed energy gap value of β-AsN is 3.427 eV, which shows its semiconducting nature, and it can be utilized for numerous applications, viz., chemical sensors, bio-sensors, and optoelectronic devices. Using the most significant factors, namely relative band gap variation, Mulliken charge transfer, and adsorption energy, the adsorption behavior of ethylbenzene and methyl ethyl ketone on β-AsN is studied. The adsorption energy range is observed to be (- 0.134 eV to - 0.820 eV), which confirms that a weak van der Waals force acts between the base material and pollutants. The overall outcomes claimed that the β-AsN can be efficiently utilized for detecting both ethylbenzene and methyl ethyl ketone molecules in the common air environment.

methodsThe electronic and structural properties of β-AsN monolayer are calculated using the Quantum ATK package. We used a hybrid generalized gradient approximation (GGA) level of theory and Becke-3-Lee-Yang-Parr (B3LYP) exchange-correlation functional during the calculation. Also, methyl ethyl ketone and ethylbenzene adsorption on β-AsN monolayer is analyzed using the DFT calculations by employing the empirical dispersion correction of Grimme (DFT-D3) owing to weak van der Waals interactions.

Indexed as

AdsorptionArsenic nitrideEthylbenzeneMethyl ethyl ketoneMonolayer

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