Deep Learning and Informatics for Design & for Methods Development

Monday, September 13, 2021: 10:00 AM-12:00 PM
227 (America's Center)
Mr. Adam M. Krajewski, The Pennsylvania State University
10:00 AM
Crystal synthesis prediction using deep learning
Mr. Ali Davariashtiyani, University of Illinois at Chicago; Prof. Sara Kadkhodaei, University of Illinois at Chicago
10:20 AM
A Machine Learning Model to Predict Tensile Properties of Annealed Ti6Al4V Parts Prepared by Selective Laser Melting
Mr. Zhaotong Yang, Worcester Polytechnic Institute; Prof. Mei Yang, Worcester Polytechnic Institute; Prof. Richard D Sisson, Worcester Polytechnic Institute; Prof. Yanhua li, Worcester Polytechnic Institute; Prof. Jianyu liang, Worcester Polytechnic Institute
10:40 AM
INVITED: Guiding materials discovery using reaction informatics
Prof. Alexander J Norquist, Haverford College
11:20 AM
A Machine Learning Approach for Identifying Defects in Amorphous Structure
Ms. Tina Mirzaei, University of California, Riverside
11:40 AM
INVITED: MPDD: Material-Properties-Descriptors Database
Mr. Adam M. Krajewski, The Pennsylvania State University; Dr. Shun-Li Shang, The Pennsylvania State University; Dr. Yi Wang, The Pennsylvania State University; Prof. Zi-Kui Liu, The Pennsylvania State University
See more of: Artificial Intelligence and Machine Learning for Materials
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