journal article·2022-04-26Open access

High Performance Semiconducting Nanosheets via a Scalable Powder-Based Electrochemical Exfoliation Technique

Rebekah A. Wells, Miao Zhang, Tzu-Heng Chen, Victor Boureau, Marina Caretti, Yongpeng Liu, Jun-Ho Yum, Hannah Johnson, Sachin Kinge, Aleksandra Radenovic, Kevin Sivula

ACS Nano· Volume 16· Issue 4

Abstract

The liquid-phase exfoliation of semiconducting transition metal dichalcogenide (TMD) powders into 2D nanosheets represents a promising route toward the scalable production of ultrathin high-performance optoelectronic devices. However, the harsh conditions required negatively affect the semiconducting properties, leading to poor device performance. Herein we demonstrate a gentle exfoliation method employing standard bulk MoS2 powder (pressed into pellets) together with the electrochemical intercalation of a quaternary alkyl ammonium. The resulting nanosheets are produced in high yield (32%) and consist primarily of mono-, bi-, triatomic layers with large lateral dimensions (>1 μm), while retaining the semiconducting polymorph. Exceptional optoelectronic performance of nanosheet thin-films is observed, such as enhanced photoluminescence, charge carrier mobility (up to 0.2 cm2 V-1 s-1 in a multisheet device), and photon-to-current efficiency while maintaining high transparency (>80%). Specifically, as a photoanode for iodide oxidation, an internal quantum efficiency up to 90% (at +0.3 V vs Pt) is achieved (compared to only 12% for MoS2 nanosheets produced via ultrasonication). Further using a combination of fluorescence microscopy and high-resolution scanning transmission electron microscopy (STEM), we show that our gently exfoliated nanosheets possess a defect density (2.33 × 1013 cm-2) comparable to monolayer MoS2 prepared by vacuum-based techniques and at least three times less than ultrasonicated MoS2 nanoflakes. Finally, we expand this method toward other TMDs (WS2, WSe2) to demonstrate its versatility toward high-performance and fully scalable van der Waals heterojunction devices.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: 2D Materials and Applications · Perovskite Materials and Applications · Quantum Dots Synthesis And Properties

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

Affiliations

Laboratory for Molecular Engineering of Optoelectronic Nanomaterials (LIMNO), Institute of Chemical Sciences and Engineering, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland

Laboratory of Nanoscale Biology (LBEN), Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland

Interdisciplinary Center for Electron Microscopy (CIME), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland

Advanced Materials Research, Toyota Motor Europe, B-1930 Zaventem, Belgium

Funding

Vetenskapsr?det · Schweizerischer Nationalfonds zur F?rderung der Wissenschaftlichen Forschung · Ministry of Science and Technology, Taiwan

References (76)

Show source-provided references
1. 10.1002/advs.20200386410.1002/advs.202003864 ↗
2. 10.1038/s41586-020-2098-y10.1038/s41586-020-2098-y ↗
3. 10.1002/adma.20190380010.1002/adma.201903800 ↗
4. 10.1038/s41928-019-0301-710.1038/s41928-019-0301-7 ↗
5. 10.1002/admt.20190097210.1002/admt.201900972 ↗
6. 10.1021/acsenergylett.9b0094010.1021/acsenergylett.9b00940 ↗
7. 10.1039/C8CS00067K10.1039/C8CS00067K ↗
8. 10.1038/ncomms859610.1038/ncomms8596 ↗
9. 10.1021/acsanm.9b0177410.1021/acsanm.9b01774 ↗
10. 10.1126/science.abf582510.1126/science.abf5825 ↗
11. 10.1038/s41586-018-0574-410.1038/s41586-018-0574-4 ↗
12. 10.1021/acsenergylett.6b0011410.1021/acsenergylett.6b00114 ↗
13. 10.1126/science.122641910.1126/science.1226419 ↗
14. 10.1002/adma.20110479810.1002/adma.201104798 ↗
15. 10.1002/smll.20110265410.1002/smll.201102654 ↗
16. 10.1021/jacs.7b0513110.1021/jacs.7b05131 ↗
17. 10.1038/nnano.2012.19310.1038/nnano.2012.193 ↗
18. 10.1002/9780470132616.ch810.1002/9780470132616.ch8 ↗
19. 10.1126/science.119497510.1126/science.1194975 ↗
20. 10.1021/acs.chemmater.6b0333510.1021/acs.chemmater.6b03335 ↗
21. 10.1371/journal.pone.015452210.1371/journal.pone.0154522 ↗
22. 10.1021/cm504486410.1021/cm5044864 ↗
23. 10.1021/nl201874w10.1021/nl201874w ↗
24. 10.1021/jacs.6b0150210.1021/jacs.6b01502 ↗
25. 10.1021/acs.jpcc.9b0397510.1021/acs.jpcc.9b03975 ↗
26. 10.1021/cm301515z10.1021/cm301515z ↗
27. 10.1021/acs.chemmater.7b0201810.1021/acs.chemmater.7b02018 ↗
28. 10.1016/j.matt.2021.12.01010.1016/j.matt.2021.12.010 ↗
29. 10.1021/nn505668c10.1021/nn505668c ↗
30. 10.1021/acs.chemmater.9b0169810.1021/acs.chemmater.9b01698 ↗
31. 10.1039/C7TA02577G10.1039/C7TA02577G ↗
32. 10.1021/acs.nanolett.7b0394810.1021/acs.nanolett.7b03948 ↗
33. 10.1002/adfm.20200504510.1002/adfm.202005045 ↗
34. 10.1021/acs.nanolett.5b0209110.1021/acs.nanolett.5b02091 ↗
35. 10.1021/ja310929s10.1021/ja310929s ↗
36. 10.1021/cm502378g10.1021/cm502378g ↗
37. 10.1007/s10854-021-05432-510.1007/s10854-021-05432-5 ↗
38. 10.1016/S0167-2738(99)00347-110.1016/S0167-2738(99)00347-1 ↗
39. 10.1134/S102319351301013810.1134/S1023193513010138 ↗
40. 10.1038/s41563-020-00831-110.1038/s41563-020-00831-1 ↗
41. 10.1021/nn502776h10.1021/nn502776h ↗
42. 10.1021/acscatal.7b0151710.1021/acscatal.7b01517 ↗
43. 10.1088/1742-6596/371/1/01205310.1088/1742-6596/371/1/012053 ↗
44. 10.1038/ncomms647810.1038/ncomms6478 ↗
45. 10.18434/T4T88K10.18434/T4T88K ↗
46. 10.1021/acsenergylett.7b0086510.1021/acsenergylett.7b00865 ↗
47. 10.1039/C5EE02530C10.1039/C5EE02530C ↗
48. 10.1016/j.ultramic.2015.10.01110.1016/j.ultramic.2015.10.011 ↗
49. 10.1021/nl400747910.1021/nl4007479 ↗
50. 10.1021/acsnano.1c0037310.1021/acsnano.1c00373 ↗
51. 10.1038/ncomms729310.1038/ncomms7293 ↗
52. 10.1021/acsnano.5b0055410.1021/acsnano.5b00554 ↗
53. 10.1038/ncomms364210.1038/ncomms3642 ↗
54. 10.1038/srep2972610.1038/srep29726 ↗
55. 10.1016/j.jcis.2017.10.11510.1016/j.jcis.2017.10.115 ↗
56. Moran’s I, File Exchange, MATLAB Central. https://www.mathworks.com/matlabcentral/fileexchange/13663-moran-s-i (accessed October 19, 2021).
57. 10.1021/nl903868w10.1021/nl903868w ↗
58. 10.1021/acsomega.0c0018710.1021/acsomega.0c00187 ↗
59. 10.1021/acs.jpclett.8b0289210.1021/acs.jpclett.8b02892 ↗
60. 10.1021/acsami.9b1068810.1021/acsami.9b10688 ↗
61. 10.1126/science.aad211410.1126/science.aad2114 ↗
62. 10.1021/acsnano.7b0252110.1021/acsnano.7b02521 ↗
63. 10.1021/j100393a01010.1021/j100393a010 ↗
64. 10.1021/acs.jpcc.6b0926710.1021/acs.jpcc.6b09267 ↗
65. 10.1021/nn505767310.1021/nn5057673 ↗
66. 10.1039/C6NR00654J10.1039/C6NR00654J ↗
67. 10.1002/adfm.20140251910.1002/adfm.201402519 ↗
68. 10.1021/ar900138m10.1021/ar900138m ↗
69. 10.1039/D1EE00152C10.1039/D1EE00152C ↗
70. 10.1021/jacs.6b0594010.1021/jacs.6b05940 ↗
71. 10.1038/ncomms1327810.1038/ncomms13278 ↗
72. 10.1021/acs.nanolett.9b0420910.1021/acs.nanolett.9b04209 ↗
73. 10.1038/nnano.2013.21910.1038/nnano.2013.219 ↗
74. 10.1126/science.123554710.1126/science.1235547 ↗
75. 10.1021/acsami.9b0478510.1021/acsami.9b04785 ↗
76. 10.1093/bioinformatics/btu20210.1093/bioinformatics/btu202 ↗