journal article·2020-12-16

Influences on Plasmon Resonance Linewidth in Metal−Insulator−Metal Structures Obtained via Colloidal Self-Assembly

Ye Yu, Daniel Schletz, Johanna Reif, Felix Winkler, Matthias Albert, Andreas Fery, Robert Kirchner

ACS Applied Materials & Interfaces· Volume 12· Issue 50
Publisher page

Abstract

Localized surface plasmon resonances (LSPRs) have been widely explored in various research fields because of their excellent ability to condense light into a nanometer scale volume. However, it suffers quite often from the broadening of the LSPR linewidths, resulting in low quality factors. Among the causes of the broadening, fabrication inaccuracies are crucial yet challenging to evaluate. In this paper, we designed a type of metal-insulator-metal structure as an example via the colloidal self-assembly approach. We then demonstrated a facile approach to identify the origin of the discrepancies in between spectra obtained from experiments and simulations. Through a series of simulations in accordance with the experimental results, we could confirm that the predominant influencing factors are the presence of defects, as well as feature size variations, though they impact the spectral response in different ways. For similar plasmonic systems, our results enabled a more cost-effective optimization process in lieu of rather intensive and iterative experimentations, which will pave the way to automated fabrication and optimization, as well as integrated design. Furthermore, our results also indicated that the typical defect ratio that is introduced via the colloidal self-assembly approach has only limited impact on the resulting plasmonic resonances, proving that for similar plasmonic structure designs, colloidal self-assembly methods can provide a reliable and efficient alternative in the field of nanofabrication of plasmonic systems.
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

Institute of Semiconductor and Microsystems, Technische Universität Dresden, Nöthnitzer Straße 64, 01187 Dresden, Germany

Institute of Physical Chemistry and Polymer Physics, Leibniz-Institut für Polymerforschung Dresden e.V., Hohe Straße 6, 01069 Dresden, Germany

Cluster of Excellence Centre for Advancing Electronics Dresden (CfAED), Technische Universität Dresden, 01062 Dresden, Germany

Department of Physical Chemistry of Polymeric Materials, Technische Universität Dresden, Hohe Straße 6, 01069 Dresden, Germany

Funding

Deutsche Forschungsgemeinschaft

References (45)

Show source-provided references
1. Novotny L. · 201210.1017/CBO9780511794193 ↗
2. 10.1021/cr200061k10.1021/cr200061k ↗
3. 10.1021/acsphotonics.8b0085210.1021/acsphotonics.8b00852 ↗
4. 10.1021/ja209861x10.1021/ja209861x ↗
5. 10.1038/nmat403110.1038/nmat4031 ↗
6. 10.1021/acs.nanolett.6b0497810.1021/acs.nanolett.6b04978 ↗
7. 10.1038/nnano.2013.9810.1038/nnano.2013.98 ↗
8. 10.1002/adma.20150592910.1002/adma.201505929 ↗
9. 10.1021/ph500304v10.1021/ph500304v ↗
10. 10.1038/ncomms1128310.1038/ncomms11283 ↗
11. 10.1021/nl501460x10.1021/nl501460x ↗
12. 10.1038/nnano.2012.12810.1038/nnano.2012.128 ↗
13. 10.1038/nnano.2015.28510.1038/nnano.2015.285 ↗
14. 10.1021/acs.nanolett.6b0050010.1021/acs.nanolett.6b00500 ↗
15. 10.1002/adma.20190592710.1002/adma.201905927 ↗
16. 10.1021/nl502776s10.1021/nl502776s ↗
17. 10.1364/OL.42.00294810.1364/OL.42.002948 ↗
18. 10.1021/acsnano.9b0191410.1021/acsnano.9b01914 ↗
19. 10.1007/s11468-016-0325-z10.1007/s11468-016-0325-z ↗
20. 10.1021/nl300045310.1021/nl3000453 ↗
21. 10.1021/acs.nanolett.5b0288310.1021/acs.nanolett.5b02883 ↗
22. 10.1038/nmat281010.1038/nmat2810 ↗
23. 10.1021/acs.nanolett.0c0007510.1021/acs.nanolett.0c00075 ↗
24. 10.1038/nnano.2011.7210.1038/nnano.2011.72 ↗
25. 10.1021/acsnano.7b0820610.1021/acsnano.7b08206 ↗
26. 10.1021/acs.nanolett.5b0154810.1021/acs.nanolett.5b01548 ↗
27. 10.1038/nature0535010.1038/nature05350 ↗
28. 10.1021/acs.nanolett.5b0156310.1021/acs.nanolett.5b01563 ↗
29. 10.1021/acs.chemrev.8b0024310.1021/acs.chemrev.8b00243 ↗
30. 10.1021/acsphotonics.0c0009910.1021/acsphotonics.0c00099 ↗
31. 10.1002/adfm.20120095510.1002/adfm.201200955 ↗
32. 10.1126/science.119995810.1126/science.1199958 ↗
33. 10.1021/acs.langmuir.8b0427910.1021/acs.langmuir.8b04279 ↗
34. 10.1002/adfm.20190824210.1002/adfm.201908242 ↗
35. 10.1021/cr400081d10.1021/cr400081d ↗
36. 10.1016/j.cis.2013.11.01010.1016/j.cis.2013.11.010 ↗
37. 10.1016/j.nantod.2018.08.01010.1016/j.nantod.2018.08.010 ↗
38. 10.1021/jp010657m10.1021/jp010657m ↗
39. 10.1021/acsnano.7b0547210.1021/acsnano.7b05472 ↗
40. 10.1038/lsa.2016.22910.1038/lsa.2016.229 ↗
41. 10.1116/1.483176910.1116/1.4831769 ↗
42. 10.1016/j.surfcoat.2017.04.03410.1016/j.surfcoat.2017.04.034 ↗
43. 10.1002/adfm.20130109410.1002/adfm.201301094 ↗
44. 10.1016/S0927-7757(03)00011-610.1016/S0927-7757(03)00011-6 ↗
45. ImageJ https://imagej.nih.gov/ij/(accessed October, 28, 2020).