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[13 Oct. 2023] Designing new materials with artificial intelligence

Updated: Oct 3, 2023

Speaker: Prof. Alán Aspuru-Guzik

Institute: Department of Chemistry and Computer Science, University of Toronto, http://matter.toronto.edu/

Date: 13 Oct. 2023








Abstract

Organic flow batteries promise to be a relevant metal-free storage solution for electrical energy. Introduced by Michael Aziz and Roy Gordon in 2014, they have been progressing steadily. I originally helped Mike and Roy with the calculations for predicting the first generation. It has been almost ten years since their introduction. I recently re-started vigorous efforts in my laboratory to accelerate organic flow battery research. To that effect, we employ calculations, automated synthesis and characterization to increate the design-make-test-analyze cycle. In this talk, I will present my group’s published and unpublished results in this area. I will conclude with a prospectus of the future of automated science.


Bio.

Alán Aspuru-Guzik’s research lies at the interface of computer science with chemistry and physics. He works in the integration of robotics, machine learning and high-throughput quantum chemistry for the development of materials acceleration platforms. These “self-driving laboratories¨ promise to accelerate the rate of scientific discovery, with applications to clean energy and optoelectronic materials. Alán also develops quantum computer algorithms for quantum machine learning and has pioneered quantum algorithms for the simulation of matter. Alán Aspuru-Guzik is a professor of Chemistry and Computer Science at the University of Toronto and is also the Canada 150 Research Chair in Theoretical Chemistry and a Canada CIFAR AI Chair at the Vector Institute. He is a CIFAR Lebovic Fellow in the Biologically Inspired Solar Energy program. Alán also holds a Google Industrial Research Chair in Quantum Computing. Alán is the director of the Acceleration Consortium, a University of Toronto-based strategic initiative that aims to gather researchers from industry, government and academia around pre-competitive research topics related to the lab of the future.

Previously, he was a full professor at Harvard University where he started his career in 2006. He is currently the Canada 150 Research Chair in Quantum Chemistry, CIFAR AI Chair at the Vector Institute and co-founder of Zapata Computing and Kebotix, two early-stage ventures in quantum computing and self-driving laboratories, respectively.

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