Graduate Student Seminar Series
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Location: MS2158 – 1 King’s College Circle
Presentation Title: Robotic Autonomous Imaging Surface Evaluator (RAISE): A Closed-Loop System for Accelerating Material and Formulation Discovery
Abstract: Surface wettability is a critical design parameter for biomedical devices, coatings, and textiles. Contact angle measurements quantify liquid-surface interactions, which depend strongly on liquid formulation. Herein, we present the Robotic Autonomous Imaging Surface Evaluator (RAISE), a closed-loop, self-driving system capable of linking liquid formulation optimization with surface wettability assessment. RAISE comprises a full experimental orchestrator capable of mixing liquid ingredients to create varying formulation cocktails, transferring droplets of prepared formulations to a high-throughput stage, and using a pick-and-place camera tool for automated droplet image capture. It also includes automated image processing to measure contact angles. This closed loop experiment orchestrator is integrated with a Bayesian Optimization (BO) client, which enables iterative exploration of new formulations based on previous contact angle measurements to meet user-defined objectives.
Supervisor Name: Frank Gu
Year of Study: 2
Program of Study: PhD
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