Orchestration software and cheap devices to accelerate the adoption of self-driving laboratories
Nov 3, 2023
2:30PM to 3:30PM
Date(s) - 03/11/2023
2:30 pm - 3:30 pm
Dr. Sergio P. Garcia Carrillo
The Matter Lab, Dept. of Chemistry, University of Toronto
Self-driving laboratories (SDLs) combine automated hardware and artificial intelligence experimental planners to accelerate materials discovery. The cornerstone of an SDL is the orchestration manager, a pivotal software component responsible for facilitating communication and administration among diverse laboratory components. To address these challenges, we have recently presented ChemOS 2.0, an architecture design for orchestration that facilitates the combination of chemical experiments and simulations to rapidly explore chemical spaces. To demonstrate the capabilities of our design, we have used ChemOS 2.0 to automate the synthesis and characterization of organic laser molecules. Additionally, it has also been used to orchestrate electrochemical experiments performed on cheap open-source automated platforms built from scratch. As such, we demonstrate the capabilities of SDL in improving the speed of chemical research.
Dr. Sergio Pablo-García is a postdoctoral researcher in Alan’s Aspuru-Guzik The Matter Lab. He earned his B.Sc. in Chemistry, his M.Sc. in computer modeling for physics and chemistry at the University of Barcelona (UB), and his PhD in the application of automation and machine learning techniques in computational heterogeneous catalysis, under the supervision Prof. López at the Institut Català d’Investigació Quimica (ICIQ). Currently, he specializes in development for SDL, integrating his computational/experimental experience in ChemOS 2.0 and building cheap devices to create more affordable self-driving laboratories.
In-Person: ABB 102