This repository contains the data, data processing, and modelling for Ellis Hewins and Jack Bourne's 2024 Physics MSc project. Project supervisor: Dr. Oleg Makarovsky (associate professor at the School of Physics and Astronomy, University of Nottingham).
The project centres around graphene-based photodetectors, functionalised using either quantum dots or perovskite nanocrystals to achieve photoconductive gain via a photogating effect.
The data folder contains electrical measurements for several different samples and experiments (grouped into subfolders), as well as Python scripts used to graph the results and perform data analysis.
Information about each sample and set of measurements can be found in the README files of each subfolder.
The figures which were used in the final report are generated by field-effect-analysis.py, material-resistivity-analysis.py, charge-transfer-analysis.py, responsivity-analysis.py, and mobilities-demonstration-figure.py, with a few also coming from data/cvd_time_power_22032024/data-processing.py, data/cvd_prefunc_12032024/data-processing.py and data/cvd_func_19032024/data-processing.py.