Autonomous and Closed-loop Determination of Hansen Solubility Parameters (HSPs) in a Cloud Lab
Start Date:
- An autonomous and closed-loop framework to use a cloud 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: YOLOv8 for object detection and edge detection for analyzing liquid interfaces.
- ML for batch experiment optimization with explore+exploit: clustering in the HSP space for optimal experiment efficiency.