Topic: Transfer Learning for Phonon and Thermal Property Predictions.
Speaker: Prof. Tengfei Luo and Dr. Zeyu Liu from the University of Notre Dame
We’re super delighted to announce our next speaker, Dr. Tengfei Luo and Dr. Zeyu Liu from the University of Notre Dame, to bring us:
“Transfer Learning for Phonon and Thermal Property Predictions”
Abstract
Machine learning is trending to be an integral part of thermal science. In this talk, I will introduce our efforts in utilizing machine learning (ML) techniques to predict phonon properties and thermal modeling. I will talk about the use of a new ML method, called transfer learning, to establish accurate models based on limited data for predicting phonon and thermal transport properties, such as phonon frequency gap, heat capacity, speed of sound and lattice thermal conductivity.
Biography
Dr. Tengfei Luo is a Professor in the Department of Aerospace and Mechanical Engineering (AME) at the University of Notre Dame (UND). Before joining UND, he was a postdoctoral associate at Massachusetts Institute of Technology (2009-2011) after obtaining his PhD from Michigan State University (2009). Dr. Luo’s research focuses on exploring the chemistry-conformation-property relationships of polymers and inorganic materials using molecular simulations, DFT calculation, machine learning and experiments. He is an ASME Fellow (2019), JSPS Invitational Fellow (2019), DuPont Young Professor Awardee (2016), DARPA Young Faculty Awardee (2015), and Air Force Summer Faculty Fellow (2015).
Very much looking forward to the seminar – hope to see you all on Wednesday: (SGT) 9am, Wed, 7 July! https://mit.zoom.us/j/96231985116
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