Abstract

The production of 2D material flakes in large quantities is a rapidly evolving field and a cornerstone for their industrial applicability. Although flake production has advanced in a fast pace, its statistical characterization is somewhat slower, with few examples in the literature which may lack either modelling uniformity and/or physical equivalence to actual flake dimensions. The present work brings a methodology for 2D material flake characterization with a threefold target: (i) propose a set of morphological shape parameters that correctly map to actual and relevant flake dimensions; (ii) find a single distribution function that efficiently describes all these parameter distributions; and (iii) suggest a representation system—topological vectors—that uniquely characterizes the statistical flake morphology within a given distribution. The applicability of such methodology is illustrated via the analysis of tens of thousands flakes of graphene/graphite and talc, which were submitted to different production protocols. The richness of information unveiled by this universal methodology may help the development of necessary standardization procedures for the imminent 2D-materials industry.

Highlights

  • The much-anticipated “2D-materials” revolution heavily relies on the availability of industrial-scale quantities of well-characterized 2D material flakes[1,2]

  • Previous works investigating statistical distributions of 2D material flakes produced via liquid-phase exfoliation (LPE) have suggested that some morphological parameters seem to be normally distributed, while others are heavily skewed[6,7,8]

  • Different distribution functions were employed to model distinct morphological parameters[6,7,8], which may have weak correspondence with actual flake dimensions that are relevant for several separation and filtration processes[9]

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Summary

Introduction

The much-anticipated “2D-materials” revolution heavily relies on the availability of industrial-scale quantities of well-characterized 2D material flakes[1,2]. These parameters are extracted from a single distribution function and the information is summarized by a representation system, the topological vectors, that uniquely characterizes the statistical flake morphology within a given distribution.

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