The effect of sulfuration reaction rates with sulphur concentration gradient dependence on the growth pattern and morphological evolution of MoS 2 in laminar flow
Source abstract
Abstract
Sulfuration reactions dominate the synthesis of transition-metal dichalcogenides via chemical vapor deposition. A neglected critical issue is the evolution of crystal domain morphology and growth models caused by boundary layer development. In this study, we propose two growth models within a laminar flow field to investigate the kinetic mechanism of uniformly grown MoS2. We used supercritical fluid pre-deposition to obtain a well-distributed and low-crystallinity Mo precursor on the surface of a substrate to avoid non-stoichiometric supply in sulfuration. The development of the boundary layer was suppressed through mainstream force by adjusting the substrate slope angle. For growth within the underdeveloped laminar boundary layer, monolayer MoS2 with a size of 50 μm uniformly distributed on the full substrate with R = 85% (relative change in boundary layer thickness). Moreover, the growth constrained by surface chemical reactions tended to promote spatially uniform growth. However, within the fully developed laminar flow, the crystal domains preferentially grew vertically, which was attributed to the excessive crystal growth rate (g). Our results provide new insights into the controllable preparation of two-dimensional materials.
Source: europepmc · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: 2D Materials and Applications · MXene and MAX Phase Materials · Ichthyology and Marine Biology
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Chemical Engineering, Dalian University of Technology, 2 Ling Gong Road, 116024, Dalian, China
The Second Hospital of Dalian Medical University, 467 Zhong Shan Road, 116021, Dalian, China
Funding
National Natural Science Foundation of China · National Basic Research Program of China
References (47)
Show source-provided references
1. Splendiani · Nano Lett. · 2010 · 10 · 127110.1021/nl903868w ↗
2. Yoosuk · Chem. Eng. Sci. · 2012 · 79 · 110.1016/j.ces.2012.05.020 ↗
3. Wu · Nature · 2022 · 603 · 25910.1038/s41586-021-04323-3 ↗
4. Zhou · Chem. Eng. J. · 2019 · 366 · 16310.1016/j.cej.2019.02.079 ↗
5. Tongay · Nano Lett. · 2012 · 12 · 557610.1021/nl302584w ↗
6. Meng · Nat. Nanotechnol. · 2021 · 16 · 123110.1038/s41565-021-00966-5 ↗
7. Dong · Chem. Eng. Sci. · 2022 · 262 · 11797610.1016/j.ces.2022.117976 ↗
8. Hu · ChemSusChem · 2020 · 13 · 148510.1002/cssc.201902702 ↗
9. Wang · Adv. Sci. · 2020 · 7 · 190138210.1002/advs.201901382 ↗
10. Zhao · J. Am. Chem. Soc. · 2018 · 140 · 1421710.1021/jacs.8b08124 ↗
11. Lee · Adv. Mater. · 2012 · 24 · 232010.1002/adma.201104798 ↗
12. Hyun · J. Alloys Compd. · 2018 · 765 · 38010.1016/j.jallcom.2018.06.183 ↗
13. Choi · ACS Appl. Mater. Interfaces · 2017 · 9 · 4302110.1021/acsami.7b12151 ↗
14. Li · iScience · 2021 · 24 · 10322910.1016/j.isci.2021.103229 ↗
15. Yu · Mater. Chem. Phys. · 2020 · 240 · 12220310.1016/j.matchemphys.2019.122203 ↗
16. Li · Nanoscale · 2019 · 11 · 1612210.1039/C9NR04612G ↗
17. Yang · ACS Nano · 2019 · 13 · 364910.1021/acsnano.9b00277 ↗
18. Zhou · Nano Res. · 2018 · 11 · 290910.1007/s12274-017-1942-3 ↗
19. Wang · Sci. Bull. · 2017 · 62 · 165410.1016/j.scib.2017.11.011 ↗
20. Lin · Sci. Rep. · 2016 · 5 · 1859610.1038/srep18596 ↗
21. Tu · Appl. Phys. Lett. · 2016 · 109 · 22310110.1063/1.4968582 ↗
22. Wang · ACS Appl. Mater. Interfaces · 2023 · 15 · 1739610.1021/acsami.3c01407 ↗
23. Mannei · Thermochim. Acta · 2017 · 652 · 15010.1016/j.tca.2017.03.020 ↗
24. Xu · Chem. Mater. · 2021 · 33 · 324910.1021/acs.chemmater.1c00174 ↗
25. van der Zande · Nat. Mater. · 2013 · 12 · 55410.1038/nmat3633 ↗
26. Ghorai · Chem. Mater. · 2024 · 36 · 269810.1021/acs.chemmater.3c02675 ↗
27. Govind Rajan · ACS Nano · 2016 · 10 · 433010.1021/acsnano.5b07916 ↗
28. Dumcenco · ACS Nano · 2015 · 9 · 461110.1021/acsnano.5b01281 ↗
29. Yang · Appl. Surf. Sci. · 2023 · 613 · 15601910.1016/j.apsusc.2022.156019 ↗
30. Miakota · Appl. Surf. Sci. · 2023 · 619 · 15674810.1016/j.apsusc.2023.156748 ↗
31. Liu · Nano Res. · 2017 · 10 · 64310.1007/s12274-016-1323-3 ↗
32. Cheng · J. Alloys Compd. · 2021 · 853 · 15737410.1016/j.jallcom.2020.157374 ↗
33. Prasad · ACS Omega · 2023 · 8 · 1093010.1021/acsomega.2c07408 ↗
34. Chiawchan · Nanomaterials · 2021 · 11 · 264210.3390/nano11102642 ↗
35. Cao · Chem. Phys. Lett. · 2015 · 631–632 · 3010.1016/j.cplett.2015.05.001 ↗
36. Wang · Chem. Mater. · 2014 · 26 · 637110.1021/cm5025662 ↗
37. Bai · Coatings · 2021 · 11 · 54710.3390/coatings11050547 ↗
38. Yang · Dalton Trans. · 2022 · 51 · 1335110.1039/D2DT02066A ↗
39. Bhowmik · iScience · 2022 · 25 · 10383210.1016/j.isci.2022.103832 ↗
40. Zhou · Cryst. Growth Des. · 2018 · 18 · 101210.1021/acs.cgd.7b01486 ↗
41. Ghandhi · J. Cryst. Growth · 1984 · 69 · 61910.1016/0022-0248(84)90375-0 ↗
42. Bhaviripudi · Nano Lett. · 2010 · 10 · 412810.1021/nl102355e ↗
43. Song · ChemNanoMat · 2023 · 9 · e20230014310.1002/cnma.202300143 ↗
44. Chen · Chem. Mater. · 2015 · 27 · 624910.1021/acs.chemmater.5b01430 ↗
45. Kim · ACS Nano · 2014 · 8 · 1055110.1021/nn503988x ↗
46. Ju · Chem. Mater. · 2017 · 29 · 609510.1021/acs.chemmater.7b01984 ↗
47. Li · Adv. Funct. Mater. · 2012 · 22 · 138510.1002/adfm.201102111 ↗