Topic: Deep Reasoning Networks in the landscape of automated materials discovery.
Speaker: Dr. John Gregoire from High Throughput Experimentation Group at Caltech
We’re super delighted to announce our next speaker, Dr. John Gregoire from High Throughput Experimentation Group at Caltech, to bring us:
“Deep Reasoning Networks in the landscape of automated materials discovery”
Abstract
Considering the confluence of hardware and software required for automating materials discovery, the aspects of research workflows that are particularly difficult to automate include the analysis of data in the context of deep prior knowledge. When the prior knowledge is data centric, supervised learning can be effectively utilized. In science, prior knowledge is more often rules or principles-centric, where reasoning about the data is more critical than pattern recognition. To realize the concept of model training under supervision by reasoning, the Gomes group (Cornell) developed Deep Reasoning Networks in collaboration with the Gregoire group (Caltech) to solve crystal structure phase mapping, i.e., the inference of phase diagrams from large quantities of x-ray diffraction data. The phase mapping problem provides an excellent platform for comparing complementary approaches to automated data interpretation, highlighting the benefits of artificial intelligence methods that integrate reasoning and learning.
Biography
Dr. John Gregoire is a Research Professor of Applied Physics and Materials Science and leads the High Throughput Experimentation group at Caltech. He is also the Team Lead for Photoactive Materials in the Liquid Sunlight Alliance (LiSA), a U.S. DOE Energy Innovation Hub. His research team explores, discovers, and understands energy-related materials via combinatorial and high throughput experimental methods and their integration with materials theory and artificial intelligence. The group seeks to accelerate scientific discovery by automating critical components of research workflows, from synthesis and screening to data interpretation and hypothesis generation. He received his BA in Math and Physics from Concordia College and PhD in Physics from Cornell University. For more information, please see https://gregoire.people.caltech.edu.
Very much looking forward to the seminar – hope to see you all on Wednesday: (SGT) 9am, Wed, 27 October! https://mit.zoom.us/j/96231985116
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