How Paul Leu is Reinventing Glass with Advanced Machine Learning | Experiment Exchange
How do you design a better glass?
Paul Leu, Associate Professor of Industrial Engineering at the University of Pittsburgh, shares the insights behind his interdisciplinary work using machine learning to design and test novel glass structures. He and Michael McCourt discuss the collaboration between Pitt and SigOpt, the challenges of glass design and testing, and what's ahead for the Year of Glass.
0:23 - Intros
5:14 - Paul's interdisciplinary philosophy
7:04 - Nanomaterials research
11:48 - Designing for the properties of light
14:35 - How Paul and his team use SigOpt
17:50 - Designing better solar panels
21:05 - How Paul uses SigOpt's advanced features
22:51 - The Year of Glass
24:16 - Paul's work with MDS-Rely
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✔️ Learn more about SigOpt: https://sigopt.com
✔️ Follow us on Twitter at / sigopt
✔️ Learn more about LAMP: https://lamp.pitt.edu/
✔️ Learn more about MDS-Rely: https://mds-rely.org/
✔️ Learn more about the Year of Glass: https://www.iyog2022.org/
