Autonomous Determination of Hansen Solubility Parameters (HSPs) in an Automated Lab

• autoHSP: An autonomous and closed-loop framework to use an automated lab and AI for on-the-fly experiment planning and optimization, experiment execution, and result analysis in loops with minimal human supervision. One click of a button is all you need.
• Computer vision for result analysis: YOLO for object detection and edge detection for analyzing liquid interfaces.
• Batch-mode active learning for batch experiment optimization with optimal efficiency by explore+exploit strategies.

I gave a talk on this project at the 2024 Chemistry Graduate Summer Seminar at Carnegie Mellon University.