Pristine and Doped MoS2 Monolayers as Potential HCN Gas Sensors: A DFT Study
Neeraj Thakur, Anjna Bhardwaj, Arun Kumar, and Amarjeet Singh

TL;DR
This study uses DFT to analyze how pristine and doped MoS2 monolayers can detect HCN gas, identifying promising doped systems with fast response times and notable electronic and optical property changes for sensor applications.
Contribution
It provides a comprehensive DFT analysis of HCN adsorption on various doped MoS2 monolayers, highlighting the effects of different dopants and doping levels on sensing performance.
Findings
Al-MoS2 shows the strongest chemisorption of HCN.
Si-MoS2 exhibits an ultrafast response in microseconds.
2P-MoS2 and 3Al-MoS2 are promising for HCN sensing applications.
Abstract
Two-dimensional transition metal dichalcogenides (TMDCs) have been extensively investigated due to their tunable properties. In this work, density functional theory (DFT) is employed to investigate the adsorption behavior and sensing characteristics of HCN on pristine and doped MoS2 monolayers (X-MoS2, where X = P, N, Si, Al, B, Cl). The structural, electronic, and optical characteristics of all systems are examined to study the sensing properties of various doped MoS2 monolayers. In particular, the Al-MoS2 system demonstrates the strongest adsorption characterized by chemisorption, while the remaining systems show interactions of physisorption type. Recovery time and changes in electronic and optical properties reveal that Si-MoS2 possesses an ultrafast response of the order of microseconds, while Al-MoS2 exhibits a significantly longer recovery time, making it unsuitable for reusable…
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Taxonomy
Topics2D Materials and Applications · Gas Sensing Nanomaterials and Sensors · Graphene research and applications
