Join Dr. Shyue Ping Ong, Associate Professor of NanoEngineering at the University of California, San Diego, for an upcoming talk in the AI and Materials Forum Distinguished Lecture Series. This lecture is free and open to the Penn State community.
"Predicting Materials Properties at Scale with Machine Learning"
Machine learning (ML) models have demonstrated human, or even superhuman, performance in many tasks, from playing traditional board games to image classification. In this webinar, I will discuss how ML is poised to have a similar transformative impact in materials science. Applied on large data sets, ML techniques can be used to discover novel technological materials, to model complex systems at an accuracy beyond the reach of traditional computational techniques, and to enhance the accuracy and speed of interpreting characterization data. A key focus of this talk will be on the heterogeneity and scarcity of materials data, the challenges these characteristics present for ML, and the potential approaches to overcome them.
About the Speaker
Dr. Shyue Ping Ong is an Associate Professor of NanoEngineering at the University of California, San Diego. He obtained his Ph.D. from the Massachusetts Institute of Technology in 2011. His group, the Materials Virtual Lab, is dedicated to the interdisciplinary application of machine learning and first principles computations to accelerate materials design. He is a key developer of the Materials Project and the globally used Python Materials Genomics (pymatgen) materials library. Dr. Ong is also a recipient of the U.S. Department of Energy Early Career Research Program and the Office of Naval Research Young Investigator Program awards.
Co-sponsored by the Institute for Computational and Data Sciences and supported in part by National Science Foundation AI Institute Planning Grant.
- Vasant Honavar, College of Information Sciences and Technology
- Venkataraman Gopalan, College of Earth and Mineral Sciences
- Vijaykrishnan Narayanan, College of Engineering