Join is for a wonderful talk today by Hitarth Choubisa from the University of Toronto. Hitarth is a PhD student in quantum chemistry at Ted Sargent's group in University of Toronto since 2018. This promises to be an exciting talk!

Title: Interpretable discovery of new materials

Abstract

I will talk about how we can combine quantum chemistry, machine learning and genetic algorithms to perform inverse design in the chemical space. Examples would include search for thermodynamically stable materials that can emit light at desirable wavelengths. I will also discuss how we can use unsupervised learning instead of the closed-loop approach for finding rules-of-thumb. These rules can then be used by experimentalists directly to successfully synthesize materials with desirable properties.

Bio

Hitarth Choubisa is a PhD student in quantum chemistry at Ted Sargent's group in University of Toronto since 2018. He is supported by the ECE fellowship and Hatch Graduate Scholarship for sustainable energy research. Before starting his PhD, he completed his undergrad from Indian Institute of Technology, Bombay. His interests lie in accelerating materials discovery using computational tools such as machine learning.

Hope to see you all on Wednesday: (SGT) 9am, Wed, 4 August 2021!

https://mit.zoom.us/j/96231985116

@Kedar, @Tonio and @Maung Thway