How Paul Leu is Reinventing Glass with Advanced Machine Learning
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How Paul Leu is Reinventing Glass with Advanced Machine Learning
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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
Learn more about SigOpt at sigopt.com and follow us on Twitter at twitter.com/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/
Subscribe to our YouTube channel to watch Experiment Exchange interviews: https://www.youtube.com/channel/sigopt