TITLE: A Scientific ML Framework to Understand Flash Graphene Synthesis

related to the following article:

https://pubs.rsc.org/en/content/articlelanding/2023/DD/D3DD00055A Cited as: Digital Discovery, 2023,2, 1209-1218

• Overview
• Python Dependencies
• Installation Guide
• Files Guidance
• License

Overview

Python Dependencies

numpy
scipy
scikit-learn
pandas
seaborn
sklearn
matplotlib

Files Guidance

directory: ./

SML_final.ipynb: contains the main code for running the experiment in Jupyter notebook. It contains blocks of code for regenerating the figures in the manuscript. It saves each figure in the correct directory.

directory: ./Time_current_property_extraction

contains one sample of current-time curve and a code for extracting I_max, I_final, Charge Density, and I_mean.

directory: ./Simulation

contains simulation input variables for each sample. The simulation file in COMSOL is very large. It can be accessed through request to Dr. Jian Lin.

directory: ./Fig*

contains figures generated in the main file

License

This project is covered under the GNU General Public License v3.0. The details of the used License is in License file.