Project Description
In Prof. Curtis Berlinguette's lab at UBC, I am working at the interface of chemical engineering, software development and machine learning to automate the experiments related to clean energy technologies i.e carbon dioxide/bicarbonate electrolyzers.
Research Classification
- Carbon capture engineering
Research Interests
- Material Science, Self-driving experiments, machine learning, clean energy, CO2 electrolysis
Research Methodology
- Self-driving closed loop methodology based on Bayesian Optimization to optimize parameters for experiments related to clean energy technologies
Faculty
Faculty of Science