The "AI for Discovery and Self Driving Labs" research team, led by Al á n Aspuru Guzik, a professor of chemistry and computer science at the University of Toronto, is dedicated to developing self driving laboratories and proposingCombining artificial intelligence with automated robot platforms to autonomously discover new materials in a high-throughput mannerThe goal is to reduce the time and cost required to discover new functional materials or optimize known functional materials by 10 times, from an estimated $10 million and 10 years of development time to $1 million and 1 year.

In order to achieve this goal, the group members explored multiple fields and found that the intelligence and automated synthesis of robot platforms are important links in this field. In Al á n's laboratory, he chose Chemspeed's automated robot platform to make predictions through computational simulations and machine learning, and to mine boundary conditions and other information to obtain molecules within a suitable range. This enables high-throughput sample preparation, synthesis, process development, formulation, application, or testing, accelerating the product development cycle.

throughChemspeed is a high-throughput platform for rapid synthesis and preparationIn addition, the software system supports offline sample preparation tasks, meeting the requirementsunattendedCondition and abilityFast enoughExecute, monitor, remotely control, and automatically record data to achieve information management.In comparison to othersAfter combining intelligent technology, Al á n's laboratory operates autonomously without supervision,In just a few days, a total of 1100 experiments were completedObtained a large amount of data for subsequent machine learning processes, which laid a very solid foundation for the team's development and innovation.