journal article·2020-09-16

Single-Layer MoS2 Mechanical Resonant Piezo-Sensors with High Mass Sensitivity

Chengming Jiang, Qikun Li, Jijie Huang, Sheng Bi, Ruonan Ji, Qinglei Guo

ACS Applied Materials & Interfaces· Volume 12· Issue 37
Publisher page

Abstract

Thin-film resonators and scanning probe microscopies (SPM) are usually used on low-frequency mechanical systems at the nanoscale or larger. Generally, off-chip approaches are applied to detect mechanical vibrations in these systems, but these methods are not much appropriate for atomic-thin-layer devices with ultrahigh characteristic frequencies and ultrathin thickness. Primarily, those mechanical devices based on atomic-layers provide highly improved properties, which are inapproachable with conventional nanoelectromechanical systems (NEMS). In this report, the assembly and manipulation of single-atomic-layer piezo-resonators as mass sensors with eigen mechanical resonances up to gigahertz are described. The resonators utilize electronic vibration transducers based on piezo-electric polarization charges, allowing direct and optimal atomic-layer sensor exports. This direct detection affords practical applications with the previously inapproachable Q-factor and sensitivity rather than photoelectric conversion. Exploration of a 2406.26 MHz membrane vibration is indicated with a thermo-noise-limited mass resolution of ∼3.0 zg (10-21 g) in room temperature. The fabricated mass sensors are contactless and fast and can afford a method for precision measurements of the ultrasmall mass with two-dimentional materials.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Mechanical and Optical Resonators · Advanced MEMS and NEMS Technologies · Acoustic Wave Resonator Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Key Laboratory for Precision and Non-traditional Machining Technology of the Ministry of Education, Dalian University of Technology, Dalian 116024, China

School of Materials Engineering, Purdue University, West Lafayette, Indiana 47907, United States

Department of Physics, Northwestern Polytechnical University, Xi’an 710072, China

Department of Material Science and Engineering, Frederick Seitz Material Research Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States

Funding

National Natural Science Foundation of China

References (56)

Show source-provided references
1. 10.1021/acs.nanolett.8b0486210.1021/acs.nanolett.8b04862 ↗
2. 10.1021/acs.nanolett.7b0217610.1021/acs.nanolett.7b02176 ↗
3. 10.1021/nn401887210.1021/nn4018872 ↗
4. 10.1038/s41467-018-04887-110.1038/s41467-018-04887-1 ↗
5. 10.1007/978-3-319-51433-8_210.1007/978-3-319-51433-8_2 ↗
6. 10.1021/acs.jpcc.9b0208010.1021/acs.jpcc.9b02080 ↗
7. 10.1007/s00542-016-2827-110.1007/s00542-016-2827-1 ↗
8. 10.1002/pssa.20180083110.1002/pssa.201800831 ↗
9. 10.1039/c6nr01118g10.1039/c6nr01118g ↗
10. 10.1038/nnano.2017.2610.1038/nnano.2017.26 ↗
11. 10.1063/1.342877810.1063/1.3428778 ↗
12. 10.1209/0295-5075/91/4800110.1209/0295-5075/91/48001 ↗
13. 10.1016/j.ssc.2007.10.03210.1016/j.ssc.2007.10.032 ↗
14. 10.1038/nnano.2012.16210.1038/nnano.2012.162 ↗
15. 10.1088/2053-1583/4/1/01100210.1088/2053-1583/4/1/011002 ↗
16. 10.1016/j.sse.2013.04.01910.1016/j.sse.2013.04.019 ↗
17. 10.1021/acs.nanolett.5b0425110.1021/acs.nanolett.5b04251 ↗
18. 10.1016/j.nanoen.2020.10512010.1016/j.nanoen.2020.105120 ↗
19. 10.1063/1.489038710.1063/1.4890387 ↗
20. 10.1002/adma.20130356910.1002/adma.201303569 ↗
21. 10.1002/admi.20180096910.1002/admi.201800969 ↗
22. 10.1021/acs.nanolett.9b0175910.1021/acs.nanolett.9b01759 ↗
23. 10.1021/acsnano.9b0416310.1021/acsnano.9b04163 ↗
24. 10.1038/s41566-017-0027-x10.1038/s41566-017-0027-x ↗
25. 10.1088/2053-1583/ab111410.1088/2053-1583/ab1114 ↗
26. 10.1103/PhysRevLett.102.17360110.1103/PhysRevLett.102.173601 ↗
27. 10.1038/nnano.2010.17210.1038/nnano.2010.172 ↗
28. 10.1002/adma.20160392810.1002/adma.201603928 ↗
29. 10.1021/acsami.9b1569710.1021/acsami.9b15697 ↗
30. 10.1002/adma.20160158110.1002/adma.201601581 ↗
31. 10.1016/j.mtcomm.2019.03.00510.1016/j.mtcomm.2019.03.005 ↗
32. 10.1038/nnano.2008.31410.1038/nnano.2008.314 ↗
33. 10.1109/DRC.2012.625692810.1109/DRC.2012.6256928 ↗
34. 10.1016/j.nantod.2010.10.00810.1016/j.nantod.2010.10.008 ↗
35. 10.1038/s41699-018-0063-510.1038/s41699-018-0063-5 ↗
36. 10.1088/1361-6463/ab197810.1088/1361-6463/ab1978 ↗
37. 10.1126/science.122052710.1126/science.1220527 ↗
38. 10.1021/nl401015710.1021/nl4010157 ↗
39. 10.1038/nature1379210.1038/nature13792 ↗
40. 10.1103/PhysRevB.83.11532810.1103/PhysRevB.83.115328 ↗
41. 10.1021/nl401561r10.1021/nl401561r ↗
42. 10.1021/jz301243610.1021/jz3012436 ↗
43. 10.1103/PhysRevLett.110.18430110.1103/PhysRevLett.110.184301 ↗
44. 10.1021/acs.nanolett.8b0333310.1021/acs.nanolett.8b03333 ↗
45. 10.1038/nnano.2006.20810.1038/nnano.2006.208 ↗
46. 10.1021/nl052134m10.1021/nl052134m ↗
47. 10.1038/ncomms158710.1038/ncomms1587 ↗
48. 10.1038/nature0574110.1038/nature05741 ↗
49. 10.1021/bm020116i10.1021/bm020116i ↗
50. 10.1038/s41467-017-01351-410.1038/s41467-017-01351-4 ↗
51. Newville, M.; Stensitzki, T.; Allen, D. B.; Rawlik, M.; Ingargiola, A.; Nelson, A. Lmfit: Non-Linear Least-Square Minimization and Curve-Fitting for Python; ascl 2016, ascl:1606.014.
52. 10.1021/ja971958610.1021/ja9719586 ↗
53. 10.1021/nl050456k10.1021/nl050456k ↗
54. 10.1021/nl034853b10.1021/nl034853b ↗
55. 10.1038/nnano.2007.29310.1038/nnano.2007.293 ↗
56. 10.1063/1.481841410.1063/1.4818414 ↗