journal article·2021

Tunable electron and hole injection channels at plasmonic Al–TiO 2 interfaces

Jie Ma, Xindan Zhang, Shiwu Gao

Nanoscale· Volume 13· Issue 33
Publisher page

Abstract

Metallic nanostructures can strongly absorb light through their plasmon excitations, whose nonradiative decay generates hot electron-hole pairs. When the metallic nanostructure is interfaced with a semiconductor, the spatial separation of hot carriers plays the central and decisive roles in photovoltaic and photocatalytic applications. In recent years, free-electron metals like Al have attracted tremendous attentions due to the much higher plasmon frequencies that could extend to the ultraviolet regime. Here, the plasmon excitations and charge separations at the Al-TiO2 interfaces have been investigated using quantum-mechanical calculations, where the atomic structures and electronic dynamics are all treated from first-principles. It is found that the high-frequency plasmon of Al produces abundant and broad-band hot-carrier distributions, where the electron-hole symmetry is broken by the presence of the semiconductor band gap. Such an asymmetric hot-carrier distribution provides two competing channels, which can be controlled either by tuning the laser frequency, or by harnessing the plasmon frequency through the geometry and shape of the metallic nanostructure. Our study suggests that the Al plasmon offers a versatile and tunable pathway for the charge transfer and separation, and has general implications in plasmon-assisted photovoltaics and photocatalysis.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Gold and Silver Nanoparticles Synthesis and Applications · Copper-based nanomaterials and applications · Quantum Dots Synthesis And Properties

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

Affiliations

Key Lab of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics and Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China

Beijing Computational Science Research Center, Beijing, 100193, China

Funding

National Natural Science Foundation of China · National Key Research and Development Program of China

References (52)

Show source-provided references
1. Lu · J. Am. Chem. Soc. · 2018 · 140 · 1541210.1021/jacs.8b08937 ↗
2. Lecarme · ACS Photonics · 2014 · 1 · 53810.1021/ph500096q ↗
3. Clark · Nano Lett. · 2020 · 20 · 664410.1021/acs.nanolett.0c02466 ↗
4. Robatjazi · Sci. Adv. · 2019 · 5 · eaav534010.1126/sciadv.aav5340 ↗
5. Swearer · ACS Nano · 2017 · 11 · 1028110.1021/acsnano.7b04960 ↗
6. Renard · Nano Lett. · 2021 · 21 · 53610.1021/acs.nanolett.0c04020 ↗
7. Knight · ACS Nano · 2014 · 8 · 83410.1021/nn405495q ↗
8. Rossi · Nat. Commun. · 2019 · 10 · 333610.1038/s41467-019-11315-5 ↗
9. Sanz · J. Phys. Chem. C · 2013 · 117 · 1960610.1021/jp405773p ↗
10. Zhou · Nat. Photonics · 2016 · 10 · 39310.1038/nphoton.2016.75 ↗
11. Langhammer · Nano Lett. · 2008 · 8 · 146110.1021/nl080453i ↗
12. Taguchi · Appl. Phys. Lett. · 2012 · 101 · 08111010.1063/1.4747489 ↗
13. McClain · Nano Lett. · 2015 · 15 · 275110.1021/acs.nanolett.5b00614 ↗
14. Zhou · Nano Lett. · 2016 · 16 · 147810.1021/acs.nanolett.5b05149 ↗
15. Robatjazi · Nat. Commun. · 2017 · 8 · 2710.1038/s41467-017-00055-z ↗
16. Gong · Appl. Phys. Lett. · 2017 · 110 · 02111710.1063/1.4973814 ↗
17. Hylton · Sci. Rep. · 2013 · 3 · 287410.1038/srep02874 ↗
18. Tian · Nano Lett. · 2017 · 17 · 507110.1021/acs.nanolett.7b02338 ↗
19. Ghori · ACS Appl. Nano Mater. · 2018 · 1 · 376010.1021/acsanm.8b00853 ↗
20. Brown · ACS Nano · 2016 · 10 · 95710.1021/acsnano.5b06199 ↗
21. Long · J. Am. Chem. Soc. · 2014 · 136 · 434310.1021/ja5001592 ↗
22. Zhang · Nano Lett. · 2019 · 19 · 318710.1021/acs.nanolett.9b00647 ↗
23. Chu · ACS Nano · 2020 · 14 · 1060810.1021/acsnano.0c04736 ↗
24. Zheng · J. Phys. Chem. Lett. · 2019 · 10 · 617410.1021/acs.jpclett.9b02402 ↗
25. Saavedra · ACS Photonics · 2016 · 3 · 163710.1021/acsphotonics.6b00217 ↗
26. Bernardi · Nat. Commun. · 2015 · 6 · 704410.1038/ncomms8044 ↗
27. Manjavacas · ACS Nano · 2014 · 8 · 763010.1021/nn502445f ↗
28. Sundararaman · Nat. Commun. · 2014 · 5 · 578810.1038/ncomms6788 ↗
29. Wu · Science · 2015 · 349 · 63210.1126/science.aac5443 ↗
30. Boerigter · Nat. Commun. · 2016 · 7 · 1054510.1038/ncomms10545 ↗
31. Tan · Nat. Photonics · 2017 · 11 · 80610.1038/s41566-017-0049-4 ↗
32. Furube · J. Am. Chem. Soc. · 2007 · 129 · 1485210.1021/ja076134v ↗
33. Ratchford · Nano Lett. · 2017 · 17 · 604710.1021/acs.nanolett.7b02366 ↗
34. Kumar · ACS Nano · 2019 · 13 · 318810.1021/acsnano.8b08703 ↗
35. Ma · ACS Nano · 2019 · 13 · 1365810.1021/acsnano.9b03555 ↗
36. DuChene · Nano Lett. · 2018 · 18 · 254510.1021/acs.nanolett.8b00241 ↗
37. Tatsuma · Nanoscale Horiz. · 2020 · 5 · 59710.1039/C9NH00649D ↗
38. Saito · J. Phys. Chem. Lett. · 2016 · 7 · 436310.1021/acs.jpclett.6b02393 ↗
39. Collado · Nat. Commun. · 2018 · 9 · 498610.1038/s41467-018-07397-2 ↗
40. Fang · Nano Lett. · 2015 · 15 · 405910.1021/acs.nanolett.5b01070 ↗
41. Tian · J. Am. Chem. Soc. · 2005 · 127 · 763210.1021/ja042192u ↗
42. Yao · Phys. Rev. B: Condens. Matter Mater. Phys. · 2004 · 70 · 19543110.1103/PhysRevB.70.195431 ↗
43. Ahlrichs · Phys. Chem. Chem. Phys. · 1999 · 1 · 1310.1039/a807713d ↗
44. Kohn · Phys. Rev. · 1965 · 140 · A113310.1103/PhysRev.140.A1133 ↗
45. Ma · Nat. Commun. · 2015 · 6 · 1010710.1038/ncomms10107 ↗
46. Wang · Phys. Rev. Lett. · 2015 · 114 · 06300410.1103/PhysRevLett.114.063004 ↗
47. Liu · ACS Photonics · 2018 · 5 · 258410.1021/acsphotonics.7b00881 ↗
48. Jang · ACS Photonics · 2018 · 5 · 471110.1021/acsphotonics.8b01021 ↗
49. Zhang · Chem. Rev. · 2018 · 118 · 292710.1021/acs.chemrev.7b00430 ↗
50. Clavero · Nat. Photonics · 2014 · 8 · 9510.1038/nphoton.2013.238 ↗
51. Wang · Nat. Commun. · 2016 · 10 · 1150410.1038/ncomms11504 ↗
52. Zheng · Phys. Rev. B · 2018 · 97 · 20541710.1103/PhysRevB.97.205417 ↗