December 12, 2023; 10:00 AM-11:00 AM EST
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Polymer recyclates have a variation in properties that can affect the end properties of recycled polymers. In this session, Dr. Mark Sullivan of Citrine Informatics will present a case study to show how AI can be used to rapidly reformulate recycled polymers to maximize the use of recyclates while consistently meeting end customer requirements. Learn from Citrine's experience from more than 10 years working in machine learning for materials and chemicals development.
Prior to joining Citrine Informatics as a Senior Solutions Engineer, Dr. Mark Sullivan spent four years with Dow's Reaction Engineering group within the Core R&D function, where he worked on both experimental and modeling projects that centered around design, scale-up, and optimization of novel catalytic systems. After studying chemical engineering as an undergraduate at the University of Notre Dame, Mark received his PhD studying the fundamentals of transition metal carbide catalyst systems at the University of Minnesota – Twin Cities under the tutelage of Professor Aditya Bhan, and spent two years as a postdoc working with Professor Yuriy Roman studying zeolite catalysis and electrochemical systems.
Hannah Melia works for Citrine as a Product Management Consultant. She has been working in Materials software for 15 years and has a degree in Materials Science from University of Cambridge.
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