Efficient Sensing Properties of Aluminum Nitride Nanosheets toward Toxic Pollutants under Gated Electric Field
Source abstract
Abstract
Based on density functional theory simulations, we explore the adsorption characteristics, charge transfer mechanism, and electronic properties of a range of selected toxic gases on aluminum nitride (AlN) sheets with and without the external electric field. Owing to the polarization of Al–N bond, the toxic gases can be directly adsorbed by AlN in its pristine form, which avoids the problem of creating systematic defects and metal doping on AlN. Among the studied gases, the AlN sheet adsorbs SO2, NO2, NH3, and CO2 more efficiently. We find that the presence of the toxic gases under the application of electric field not only improves the binding mechanism but also results into significant changes in the electronic characteristics of the AlN sheet. Our findings provide an insight into regulating the sensing properties of AlN in the presence of an applied electric field. Based on these results, we firmly believe that AlN has a great potential to be used as an efficient nanosensor for SO2, NO2, NH3, and CO2 gases.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Gas Sensing Nanomaterials and Sensors · MXene and MAX Phase Materials · ZnO doping and properties
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mechanical Engineering, National Chiao Tung University, Hsinchu 30010, Taiwan
Department of Physics, Konkuk University, Seoul 05029, Korea
School of Molecular Sciences, University of Western Australia, Perth, Western 6009, Australia
Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu 30010, Taiwan
Funding
National Research Foundation of Korea
References (45)
Show source-provided references
1. 10.1021/acs.chemrev.6b0055810.1021/acs.chemrev.6b00558 ↗
2. 10.1016/j.pmatsci.2015.02.00210.1016/j.pmatsci.2015.02.002 ↗
3. 10.1039/c6cs00424e10.1039/c6cs00424e ↗
4. 10.1021/cr300263a10.1021/cr300263a ↗
5. 10.1021/jp802102410.1021/jp8021024 ↗
6. 10.1103/physrevb.79.15543710.1103/physrevb.79.155437 ↗
7. 10.1063/1.296397610.1063/1.2963976 ↗
8. 10.1038/nmat196710.1038/nmat1967 ↗
9. 10.1109/tdei.2014.683224210.1109/tdei.2014.6832242 ↗
10. Tang J. · IEEE Trans. Dielectr. Electr. Insul. · 2012 · 19 · 2910.1109/TDEI.2012.6148499 ↗
11. 10.1021/acsaelm.9b0077810.1021/acsaelm.9b00778 ↗
12. 10.1039/c2cp41441d10.1039/c2cp41441d ↗
13. 10.1016/j.ijhydene.2014.05.06810.1016/j.ijhydene.2014.05.068 ↗
14. 10.1016/j.apsusc.2020.14564110.1016/j.apsusc.2020.145641 ↗
15. 10.1021/nn102598m10.1021/nn102598m ↗
16. 10.34133/2019/464173910.34133/2019/4641739 ↗
17. 10.1021/ja055012510.1021/ja0550125 ↗
18. 10.1103/physrevb.79.11544210.1103/physrevb.79.115442 ↗
19. 10.1038/s41535-019-0181-010.1038/s41535-019-0181-0 ↗
20. 10.1021/acsnano.8b0700610.1021/acsnano.8b07006 ↗
21. 10.1038/s41699-017-0007-510.1038/s41699-017-0007-5 ↗
22. 10.1002/adma.20190301310.1002/adma.201903013 ↗
23. 10.1002/anie.20160529810.1002/anie.201605298 ↗
24. 10.1103/physrevb.93.08543110.1103/physrevb.93.085431 ↗
25. 10.1039/c7ra07640a10.1039/c7ra07640a ↗
26. 10.1063/1.485123910.1063/1.4851239 ↗
27. 10.1021/jp056755f10.1021/jp056755f ↗
28. 10.1021/ja035996310.1021/ja0359963 ↗
29. 10.1140/epjb/e2011-20538-610.1140/epjb/e2011-20538-6 ↗
30. 10.1016/j.vacuum.2017.10.01410.1016/j.vacuum.2017.10.014 ↗
31. 10.3390/ma1204067610.3390/ma12040676 ↗
32. 10.1016/j.apsusc.2013.03.01910.1016/j.apsusc.2013.03.019 ↗
33. 10.3390/s14091740610.3390/s140917406 ↗
34. 10.1016/0250-6874(86)80056-710.1016/0250-6874(86)80056-7 ↗
35. 10.1103/physrev.140.a113310.1103/physrev.140.a1133 ↗
36. 10.1002/jcc.2175910.1002/jcc.21759 ↗
37. 10.1063/1.338234410.1063/1.3382344 ↗
38. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
39. 10.1103/PhysRevB.13.518810.1103/PhysRevB.13.5188 ↗
40. 10.1016/j.apsusc.2018.11.02010.1016/j.apsusc.2018.11.020 ↗
41. 10.1039/c9ra07700f10.1039/c9ra07700f ↗
42. 10.1021/acs.jpcc.9b0982310.1021/acs.jpcc.9b09823 ↗
43. 10.1109/jsen.2017.273300010.1109/jsen.2017.2733000 ↗
44. Lemmon, E. W.; Bell, I. H.; Huber, M. L.; McLinden, M. O. NIST Standard Reference Database 23: Reference Fluid Thermodynamic and Transport Properties-REFPROP, version 9.0; National Institute of Standards and Technology, 2018; p 135.
45. Chase M. W. · J. Phys. Chem. Ref. Data Monogr. · 1998 · 1