Student Research Projects
Abstract
Thin materials are of interest for their extraordinary physical, mechanical, thermal, electrical, and optical properties. Monolayers and bilayers of 2D materials can be manufactured through a variety of exfoliation methods. To determine layer thickness, Raman spectroscopy or other methods like Rayleigh scattering are used. These methods are, however, slow, and they require equipment beyond an optical microscope. A Python package that automates flake identification processes was built, with access solely to RGB data from an optical microscope assumed. My package, pyseg, localizes flakes on a substrate and then makes a rough estimate of their thickness from first principles. It can also calculate a ground truth contrast given RGB images of heterostructures. Pyseg in its final form will enable the quick localization of flakes and quick identification of flake thickness from RGB optical microscopic data.
Department
Physics & Astronomy
Date of Publication or Presentation
Winter 12-15-2022
Project Type
Undergraduate Research Project
College or School
CEPS
First Advisor
Shawna Hollen
Recommended Citation
Horangic, Diana B., "Pyseg: A Python Package for 2D Material Flake Localization, Segmentation, and Thickness Prediction" (2022). Student Research Projects. 33.
https://scholars.unh.edu/student_research/33