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Organized by the University of Chicago’s Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship Program.

Meeting location
William Eckhardt Research Center. Room 401
5640 S Ellis Avenue, Chicago, IL 60637
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4:30pm – 5:15pm: Presentation
5:15pm – 5:30pm: Q&A
5:30pm – 6:00pm: Reception

Abstract: Polymeric materials stand as a cornerstone of our technological era, boasting a spectrum of applications that span from lightweight aeronautical construction elements to sophisticated components in microelectronics, battery materials, and water filtration membranes. These versatile materials are crucial in addressing the multifaceted challenges our society faces, including environmental sustainability. However, the detrimental impact of plastic pollution cannot be overlooked. To navigate these challenges effectively, the advancement and innovation of new polymeric materials through computational modeling is indispensable. This approach significantly reduces the development cycle from years to months. This presentation showcases multiscale modeling methodologies tailored for polymers, acknowledging their extensive range across both length and time scales due to their large molecular structures. It includes automated active learning workflows, which are instrumental in discovering new materials at an atomistic level. The study extends to encompass the modeling of rheological behaviors, and scales up to simulations of engineering magnitudes accelerated by machine learning-enhanced dynamics. This comprehensive approach not only streamlines the material development process but also contributes to the responsible and innovative use of polymeric materials in our evolving society.

Bio: Ludwig Schneider is a computational material designer specializing in polymeric and soft matter. With a background in physics, he has combined his expertise in software engineering, chemistry, and data science for numerous research projects. Ludwig completed his undergraduate and graduate studies under the guidance of Prof. Müller at Georg-August University in Goettingen, Germany, where he studied rheology and structure formation in complex polymer melts.
After receiving his Ph.D. degree, Ludwig moved to Juan de Pablo’s group at the Pritzker School of Molecular Engineering, University of Chicago, to broaden his skill set to include machine learning and chemistry. While at the University of Chicago, Ludwig’s research focus shifted towards Machine Learning and AI, where he developed automated simulations to explore the chemical space and find more sustainable plastic materials. He also developed methods to accelerate the time evolution prediction of high functioning nano-materials. As an AI in Science Fellow of the Eric and Wendy Schmidt Foundation, Ludwig’s primary goal is to build AI tools and promote the use of AI in Science. A prime example of his work is the creation of CRIPT, a data bank for polymeric materials that serves as a foundation for machine learning in polymer science.

Campus North Parking
5505 S Ellis Ave
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