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Research data supporting 'Metal to insulator transition for conducting polymers in plasmonic nanogaps'


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Dataset

Change log

Authors

Chikkaraddy, Rohit 
Readman, Charlie 
Hu, Shu 
Xiong, Kunli 

Description

This data set contains the experiment and simulation data for the manuscript. This includes DF spectra, SERS spectra and simulations. All files are given in .txt, .csv, .npz and .h5py.

Abstract for related manuscript:

Conjugated polymers are promising material candidates for many future applications in flexible displays, organic circuits, and sensors. Their performance is strongly affected by their structural conformation including both electrical and optical anisotropy. Particularly for thin layers or close to crucial interfaces, there are few methods to track their organization and functional behaviors. Here we present a platform based on plasmonic nanogaps that can assess the chemical structure and orientation of conjugated polymers down to sub-10 nm thickness using light. We focus on a representative conjugated polymer, poly(3,4-ethylenedioxythiophene) (PEDOT), of varying thickness (2-20 nm) while it undergoes redox in situ. This allows dynamic switching of the plasmonic gap spacer through a metal-insulator transition. Both dark-field (DF) and surface-enhanced Raman scattering (SERS) spectra track the optical anisotropy and orientation of polymer chains close to a metallic interface. Moreover, we demonstrate how this influences both optical and redox switching for nanothick PEDOT devices.

Version

Software / Usage instructions

Python is needed to read .npz and .h5py files.

Keywords

anisotropy, conducting polymer, metal to insulator transition, morphology, nanocavity, plasmonics, Raman scattering

Publisher

Sponsorship
European Commission Horizon 2020 (H2020) ERC (883703)
Engineering and Physical Sciences Research Council (EP/L027151/1)
Engineering and Physical Sciences Research Council (EP/S022953/1)
This work was supported by the European Research Council (ERC) under Horizon 2020 research and innovation programme PICOFORCE (grant agreement no. 883703) and UK EPSRC EP/L027151/1 and EP/S022953/1. R.C. acknowledges funding from the Royal Society (RGS\R1\231458). J.P. acknowledge support from the National Natural Science Foundation of China (62105369). Y.X. acknowledges support from the Cambridge Trust and CSC scholarship.
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