journal article·2022-06-28

Engineering Graphene Grain Boundaries for Plasmonic Multi-Excitation and Hotspots

Teng Ma, Baicheng Yao, Zebo Zheng, Zhibo Liu, Wei Ma, Maolin Chen, Huanjun Chen, Shaozhi Deng, Ningsheng Xu, Qiaoliang Bao, Dong-Ming Sun, Hui-Ming Cheng, Wencai Ren

ACS Nano· Volume 16· Issue 6
Publisher page

Abstract

Surface plasmons, merging photonics and electronics in nanoscale dimensions, have been the cornerstones in integrated informatics, precision detection, high-resolution imaging, and energy conversion. Arising from the exceptional Fermi–Dirac tunability, ultrafast carrier mobility, and high-field confinement, graphene offers excellent advantages for plasmon technologies and enables a variety of state-of-the-art optoelectronic applications ranging from tight-field-enhanced light sources, modulators, and photodetectors to biochemical sensors. However, it is challenging to co-excite multiple graphene plasmons on one single graphene sheet with high density, a key step toward plasmonic wavelength-division multiplexing and next-generation dynamical optoelectronics. Here, we report the heteroepitaxial growth of a polycrystalline graphene monolayer with patterned gradient grain boundary density, which is synthesized by creating diverse nanosized local growth environments on a centimeter-scale substrate with a polycrystalline graphene ring seed in chemical vapor deposition. Such geometry enables plasmonic co-excitation with varied wavelength diversification in the nanoscale. Via using high-resolution scanning near-field optical microscopy, we demonstrate rich plasmon standing waves, even bright plasmonic hotspots with a size up to 3 μm. Moreover, by changing the grain boundary density and annealing, we find the local plasmonic wavelengths are widely tunable, from 70 to 300 nm. Theoretical modeling supports that such plasmonic versatility is due to the grain boundary-induced plasmon–phonon interactions through random phase approximation. The seed-induced heteroepitaxial growth provides a promising way for the grain boundary engineering of two-dimensional materials, and the controllable grain boundary-based plasmon co-generation and manipulation in one single graphene monolayer will facilitate the applications of graphene for plasmonics and nanophotonics.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Plasmonic and Surface Plasmon Research · Gold and Silver Nanoparticles Synthesis and Applications · Optical Coatings and Gratings

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

Affiliations

Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, People’s Republic of China

Key Laboratory of Optical Fiber Sensing and Communications (Education Ministry of China), University of Electronic Science and Technology of China, Chengdu 611731, People’s Republic of China

State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510275, People’s Republic of China

School of Materials Science and Engineering, University of Science and Technology of China, Shenyang 110016, People’s Republic of China

Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, Suzhou 215123, People’s Republic of China

Department of Materials Science and Engineering, Monash University, Clayton, Victoria 3800, Australia

Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People’s Republic of China

Funding

Ministry of Science and Technology of the People's Republic of China · Liaoning Revitalization Talents Program · National Natural Science Foundation of China · Chinese Academy of Sciences · Guangdong Basic and Applied Basic Research Foundation

References (41)

Show source-provided references
1. 10.1038/s41586-018-0136-910.1038/s41586-018-0136-9 ↗
2. 10.1126/science.119825810.1126/science.1198258 ↗
3. 10.1038/nphoton.2015.25610.1038/nphoton.2015.256 ↗
4. 10.1126/science.aad293010.1126/science.aad2930 ↗
5. 10.1038/ncomms984610.1038/ncomms9846 ↗
6. 10.1038/ncomms158910.1038/ncomms1589 ↗
7. 10.1038/nnano.2014.21510.1038/nnano.2014.215 ↗
8. 10.1038/nphys47710.1038/nphys477 ↗
9. 10.1021/nl201771h10.1021/nl201771h ↗
10. 10.1038/ncomms803210.1038/ncomms8032 ↗
11. 10.1126/science.aab205110.1126/science.aab2051 ↗
12. 10.1038/nnano.2011.14610.1038/nnano.2011.146 ↗
13. 10.1021/nn406627u10.1021/nn406627u ↗
14. 10.1038/s41566-017-0054-710.1038/s41566-017-0054-7 ↗
15. 10.1103/PhysRevB.80.24543510.1103/PhysRevB.80.245435 ↗
16. 10.1021/nn300989g10.1021/nn300989g ↗
17. 10.1038/nphoton.2012.26210.1038/nphoton.2012.262 ↗
18. 10.1038/nature1125410.1038/nature11254 ↗
19. 10.1038/nature1125310.1038/nature11253 ↗
20. 10.1038/nmat442510.1038/nmat4425 ↗
21. 10.1038/nphoton.2016.4410.1038/nphoton.2016.44 ↗
22. 10.1038/nnano.2013.19710.1038/nnano.2013.197 ↗
23. 10.1038/nature0971810.1038/nature09718 ↗
24. 10.1038/nnano.2014.16610.1038/nnano.2014.166 ↗
25. 10.1038/nature1156210.1038/nature11562 ↗
26. 10.1038/ncomms1448610.1038/ncomms14486 ↗
27. 10.1038/s41467-019-12662-z10.1038/s41467-019-12662-z ↗
28. 10.1126/science.124387910.1126/science.1243879 ↗
29. 10.1038/nmat447710.1038/nmat4477 ↗
30. 10.1038/s41563-018-0019-310.1038/s41563-018-0019-3 ↗
31. 10.1038/nnano.2016.13210.1038/nnano.2016.132 ↗
32. 10.1038/s41586-019-1871-210.1038/s41586-019-1871-2 ↗
33. 10.1073/pnas.131280211010.1073/pnas.1312802110 ↗
34. 10.1126/science.124613710.1126/science.1246137 ↗
35. 10.1038/nature1140810.1038/nature11408 ↗
36. 10.1021/nl202362d10.1021/nl202362d ↗
37. 10.1103/PhysRevB.77.11544910.1103/PhysRevB.77.115449 ↗
38. 10.1103/PhysRevB.90.04541610.1103/PhysRevB.90.045416 ↗
39. 10.1126/science.aag199210.1126/science.aag1992 ↗
40. 10.1038/nphys354510.1038/nphys3545 ↗
41. 10.1021/acs.nanolett.6b0407610.1021/acs.nanolett.6b04076 ↗