Article on machine learning for energy materials published in Nature!

Phil was just published as first author in Nature with, “Use machine learning to find energy materials”. This Comment piece, co-authored by Profs Ted Sargent (UofT), Alan Aspuru-Guzik (Harvard), and Yoshua Bengio (University of Montreal) was a product of a CIFAR workshop that Phil co-chaired and organized at MIT in the summer of 2017.

Here Phil discusses how machine learning can be used to accelerate the discovery of materials for clean energy applications. The piece can be seen here: https://www.nature.com/articles/d41586-017-07820-6

Press:

http://news.engineering.utoronto.ca/artificial-intelligence-can-accelerate-race-toward-sustainable-energy-technologies/