Date: Tuesday, November 5, 2019
Time: 11:00 AM
Talk Title: Physics and AI: Achieving Transferability in Deep Learning from Minimal Observations
Location: Chemla Room (67-3111)
Dr. Isaac Tamblyn is a Research Officer for the National Research Council of Canada. His research focuses on applying computational methods to applied problems in material science. Recently, his group has been focused on applying the tools of “data science” to the problem of materials. He is interested particularly interested in using recent advances in deep learning learning and A.I. to develop computationally tractable solutions to hard problems in condensed matter physics, with a focus on applications in the space of renewable energy materials.