Plasmonic Periodic Nanodot Arrays via Laser Interference Lithography for Organic Photovoltaic Cells with >10% Efficiency

Yulin Oh, Ju Won Lim, Jae Geun Kim, Huan Wang, Byung Hyun Kang, Young Wook Park, Heejun Kim, Yu Jin Jang, Jihyeon Kim, Dong Ha Kim, Byeong Kwon Ju

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

Abstract

In this study, we demonstrate a viable and promising optical engineering technique enabling the development of high-performance plasmonic organic photovoltaic devices. Laser interference lithography was explored to fabricate metal nanodot (MND) arrays with elaborately controlled dot size as well as periodicity, allowing spectral overlap between the absorption range of the active layers and the surface plasmon band of MND arrays. MND arrays with ∼91 nm dot size and ∼202 nm periodicity embedded in a poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) hole transport layer remarkably enhanced the average power conversion efficiency (PCE) from 7.52% up to 10.11%, representing one of the highest PCE and degree of enhancement (∼34.4%) levels compared to the pristine device among plasmonic organic photovoltaics reported to date. The plasmonic enhancement mechanism was investigated by both optical and electrical analyses using finite difference time domain simulation and conductive atomic force microscopy studies.

Original languageEnglish
Pages (from-to)10143-10151
Number of pages9
JournalACS Nano
Volume10
Issue number11
DOIs
StatePublished - 22 Nov 2016

Bibliographical note

Funding Information:
acknowledge the financial support by the National Research Foundation of Korea Grant funded by the Korean Government (2014R1A2A1A09005656, 2014043187, 2015M1A2A2058365).

Publisher Copyright:
© 2016 American Chemical Society.

Keywords

  • laser interference lithography
  • metal nanodot array
  • organic photovoltaics
  • surface plasmon

Fingerprint

Dive into the research topics of 'Plasmonic Periodic Nanodot Arrays via Laser Interference Lithography for Organic Photovoltaic Cells with >10% Efficiency'. Together they form a unique fingerprint.

Cite this