When 10:30 AM - 11:30 AM Feb 19, 2021
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"Accelerating Materials Design with Data and Machine Learning"


Professor Shyue Ping Ong
UCSD, Materials Science & Engineering

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.