Issue 58, 2024

Visualizing nanoscale heterogeneity in perylene thin films via tip-enhanced photoluminescence with unsupervised machine learning

Abstract

We investigate the properties of ultrathin 3,4,9,10-perylenetetracarboxylic diimide (PTCDI) films using a combination of tip-enhanced photoluminescence and unsupervised machine learning. We expose nanoscale spectral heterogeneities that can be understood on the basis of the interplay between vibronic effects, intermolecular excitons, and intramolecular excitons in PTDCI films.

Graphical abstract: Visualizing nanoscale heterogeneity in perylene thin films via tip-enhanced photoluminescence with unsupervised machine learning

Supplementary files

Article information

Article type
Communication
Submitted
16 Apr 2024
Accepted
20 Jun 2024
First published
24 Jun 2024
This article is Open Access
Creative Commons BY license

Chem. Commun., 2024,60, 7435-7438

Visualizing nanoscale heterogeneity in perylene thin films via tip-enhanced photoluminescence with unsupervised machine learning

P. Valencia-Acuna, K. Rijal, C. Wang, M. Ziatdinov, W. Chan and P. Z. El-Khoury, Chem. Commun., 2024, 60, 7435 DOI: 10.1039/D4CC01808G

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