ml-for-plasmas
This repository contains code that demonstrates the use of a variety of machine learning strategies for low temperature plasma systems.
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (6.7%) to scientific vocabulary
Keywords
Repository
This repository contains code that demonstrates the use of a variety of machine learning strategies for low temperature plasma systems.
Basic Info
- Host: GitHub
- Owner: Mesbah-Lab-UCB
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://doi.org/10.1088/1361-6595/acb28c
- Size: 94.5 MB
Statistics
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
ML-for-plasmas
This repository contains the code used to generate the figures for the paper titled "Foundations of Machine Learning for Low-temperature Plasmas: Guided Case Studies"
Notes: * The scripts were run using Google Colab Pro. Using a low-RAM kernel may cause some of the scripts to crash. * The data can be found here: https://drive.google.com/drive/folders/1gTh484SOfPl3Xc1tcYdM-srfCBNjuB9m?usp=sharing. Make sure that the relative paths in your code are set up correctly. The code should work off-the-shelf if the Data folder is placed on the same level as this repository (not inside of it). * If you are running the script locally, make sure to remove the code for Google Drive mounting.
Owner
- Name: Mesbah Lab
- Login: Mesbah-Lab-UCB
- Kind: organization
- Email: mesbah@berkeley.edu
- Location: United States of America
- Website: https://www.mesbahlab.com/
- Twitter: mesbah_lab
- Repositories: 1
- Profile: https://github.com/Mesbah-Lab-UCB
LEARNING-BASED ANALYSIS AND PREDICTIVE CONTROL OF UNCERTAIN SYSTEMS. Dept. of Chemical and Biomolecular Engineering at the University of California, Berkeley
GitHub Events
Total
- Watch event: 2
Last Year
- Watch event: 2