Strain engineering of selective chemical adsorption on monolayer black phosphorous
Description
Controllable sensitivity of the surface chemical adsorption to toxic gases is important for the next generation gas sensors. Two dimensional (2D) layered nanomaterials are the excellent candidates to sensitively detect the chemical species by tuning the properties of the materials. Recently, the single and multi-layer black phosphorous (phosphorene) were discovered to exhibit better performances than graphene in the applications of field effect transistors, PN junctions, and photodetectors, and they are also ultrasensitive to the chemical gases. In this study, by using first principle calculations, we report that the adsorption of NO2 on strained monolayer phosphorene can be noticeably enhanced, while the electronic properties of monolayer phosphorene can be apparently adjusted. The monolayer phosphorene exhibits the superior selective adsorption for NO2 over NO, NH3, CO and CO2. The compressive strains were demonstrated to be able to effectively adjust the adsorptions of NO2. Our findings provide critical information for the novel design of phosphorene-based highly sensitive nanoscale sensors and electromechanical devices.
Impact and interest:
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ID Code: | 134188 | ||||
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Item Type: | Contribution to Journal (Journal Article) | ||||
Refereed: | Yes | ||||
ORCID iD: |
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Measurements or Duration: | 6 pages | ||||
DOI: | 10.1016/j.apsusc.2019.144033 | ||||
ISSN: | 0169-4332 | ||||
Pure ID: | 33532375 | ||||
Divisions: | Current > Research Centres > Centre for Materials Science Past > Institutes > Institute for Future Environments Past > QUT Faculties & Divisions > Science & Engineering Faculty Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Chemistry & Physics Current > Schools > School of Mechanical, Medical & Process Engineering |
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Funding Information: | H. Zhang acknowledges the financial support of the Foundation of Longshan Academic Talent Research Supporting Program of SWUST (Grant No. 17LZX411, 18LZX447), the National Natural Science Foundation of China (41872039 and 41831285), the One-Thousand-Talents Scheme in Sichuan Province, Sichuan Science and Technology Program (2018JY0462). Y. Ni acknowledges the support of National Natural Science Foundation of China (NSFC) Grant No. 11774294, and the R&D Program for International S&T Cooperation and Exchanges of Sichuan province (Grant No. 2018HH0088). H. Zhang acknowledges the financial support of the Foundation of Longshan Academic Talent Research Supporting Program of SWUST (Grant No. 17LZX411 , 18LZX447 ), the National Natural Science Foundation of China ( 41872039 and 41831285 ), the One-Thousand-Talents Scheme in Sichuan Province, Sichuan Science and Technology Program ( 2018JY0462 ). Y. Ni acknowledges the support of National Natural Science Foundation of China (NSFC) Grant No. 11774294 , and the R&D Program for International S&T Cooperation and Exchanges of Sichuan province (Grant No. 2018HH0088 ). | ||||
Copyright Owner: | Consult author(s) regarding copyright matters | ||||
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||
Deposited On: | 06 Nov 2019 03:01 | ||||
Last Modified: | 04 Aug 2024 20:15 |
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