Assessing the reliability of the Raman peak counting method for the characterization of SWCNT diameter distributions: a cross-characterization with TEM
Alice Castan, Salom\'e Forel, Fr\'ed\'eric Fossard, Joeri, Defillet, Ahmed Ghedjatti, Dmitry Levshov, Wim Wenseleers, Sofie, Cambr\'e, Annick Loiseau

TL;DR
This study critically evaluates the Raman peak counting method for SWCNT diameter characterization by cross-comparing it with TEM results, revealing biases due to chirality dependence and limited excitation wavelengths.
Contribution
It provides a comprehensive cross-characterization of SWCNT diameter distributions, highlighting the limitations and biases of the Raman peak counting method compared to TEM.
Findings
Raman peak counting underestimates diameters due to chirality-dependent cross-sections.
Limited excitation wavelengths lead to biased diameter distributions.
TEM provides more accurate diameter distributions for SWCNT samples.
Abstract
Resonant Raman spectroscopy is a widely used technique for single-walled carbon nanotube (SWCNT) characterization, in particular in the radial breathing mode (RBM) range which provides direct information on the structure of the nanotube in resonance. The RBM peak counting method, i.e. acquiring Raman spectrum grids on a substrate with a select set of discrete laser lines and counting RBM peaks as single nanotubes, is frequently used to characterize SWCNT growth samples, despite the many factors that can induce errors in the results. In this work, we cross-characterize the diameter distributions obtained through this methodology with diameter distributions obtained by counting SWCNT diameters in transmission electron microscopy (TEM) and discuss the different results and biases between the techniques. This study is performed on a broad diameter distribution sample, and on two…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
