Machine Learning in CO2 reduction

Research Questions

• Determine the relationship between available parameters and target (faradaic efficiency, FE)?.
• Develop accurate predictive model for the FE response.
• Explain the impact of the features on the FE response.
• Design novel conditions with the proposed ML-based models.

To-Do

• Clean and perform preliminary analysis on the data.
• Train ML model using methods such as ANN, RF, XGB, etc.
• Use best model to perform feature analysis.
• Deploy the model to app.
• Verify model predictions with new experiments.
• Propose novel optimized experimental conditions for assessment.
• Prepare manuscript

Team

Name	Affilation	Email	Duty
Dauda Monsuru	Louisiana State University	mdauda1@lsu.edu	Experiment
Teslim Olayiwola	Louisiana State University	tolayi1@lsu.edu	Simulation

License

This project is a work-in-progress and kindly desist from using the information contained here without notifying the authors.