Detection of gas molecule using C3N island single electron transistor. (April 2019)

• Record Type: Journal Article
• Authors: Rani, S.; Ray, S.J.
• Is Part Of: Carbon. Volume 144(2019)
• Page Start: 235
• Page End: 240
• Publication Date: 2019-04
• Subjects: Carbon -- Periodicals; Carbone -- Périodiques; Koolstof; Toepassingen; Electronic journals; 546.681
• DOI: 10.1016/j.carbon.2018.12.018
• Languages: English
• ISSNs: 0008-6223

Abstract

Abstract: C3 N is a recently discovered 2D layered material structurally similar to graphene, which has demonstrated immense prospect for future nanoelectronics. In this work, we have designed and investigated the operation and performance of a C3 N island single electron transistor (SET) for the first time. Using First-principles based calculations, we investigated the effect of various molecular adsorptions on the electronic and conduction behaviour of the SET. C3 N was found to be the perfect host material for capturing CO2 . The charge stability diagram carries the signature of different molecules within the SET and their presence can be uniquely identified from various line scans and normalised differential conductance behaviour obtained from it. Our results suggest the usefulness of such nanoelectronic structures for sensing toxic gas molecules which can be operational over a wide temperature range with detection sensitivity upto a single molecular level. Graphical abstract: Two-dimensional layered materials have huge prospect in future nanoelectronics due to their superior electronic, transport, mechanical properties etc. C3 N is a newly discovered 2D material, which has a graphene like structure, but presence of a band gap offers its usefulness in switching which has been demonstrated experimentally. In this work, for the first time, we have investigated the operation of a unique nanoelectronic device, single electronic transistor made of C3 N layer. First-principles calculations reveal the superior adsorption capacity of this material towards toxic gas molecules like CO2, SO2, NO etc. We have proposed an efficient detection methodology of such gas molecules using SET as a sensor, which can distinguish the presence of such toxic molecules with a single molecular resolution. Image 1