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Kedar Hippalgaonkar speaks about generative design in novel inorganic materials and how symmetry and disorder intercept the discovery process. Learn how symmetry rules shape crystal structures and properties like conductivity and strength, and how innovative AI models address challenges in generating symmetric crystals and managing disorder. Discover advancements in high-throughput synthesis and data-driven computation, modeling, and experiments for property-directed design. About the AC Seminar Series The Acceleration Consortium seminar series will explore perspectives on the future of AI for science, present cutting-edge research findings, enable collaborations, and offer training and upskilling opportunities. Presented both in-person and online, these seminars will host a diverse set of speakers on topics related to accelerated discovery across three tracks: AC Distinguished Seminars: Leaders in the autonomous discovery community will share their findings and perspectives that are helping to shape future directions and address key challenges. These will be delivered in a hybrid format at University of Toronto. AC Early Career Seminars: Early career researchers will present results from their latest publications, taking a technical dive into findings, methods, and tools. These will be delivered in a hybrid format at University of Toronto. AC Virtual Training Seminars: Instructors will provide standalone introduction lectures and hands-on tutorials on topics related to self-driving labs with an emphasis on principles, literacy, and skills. These will be delivered virtually. Do you have a suggestion for a talk? We welcome your ideas for potential speakers from diverse career stages and backgrounds.