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Date: Tuesday, October 17, 2017
Time: 11:00 am
Speaker: Maria Chan, Argonne National Laboratory
Talk Title: Co-refinement of Nanostructures by Combining First Principles Modeling and X-ray and Electron Measurements
Location: Chemla Room (67-3111)


Biography:

Dr. Maria Chan is an Assistant Scientist at the Center for Nanoscale Materials at Argonne National Laboratory and is also a Fellow of the Computation Institute at the University of Chicago. Dr. Chan received her B.S. in Physics and Applied Mathematics from the University of California Los Angeles, and Ph.D. in Physics from the Massachusetts Institute of Technology.

Her current research focuses on the computational modeling of materials for renewable energy, using a combination of first principles, atomistic, and machine learning techniques. She is developing new methodologies for efficient and accurate prediction of materials properties, as well as software for interfacing computational modeling with experimental materials characterization. Most recently she has been involved in the development of interatomic force fields using supervised learning techniques.