The molecules and materials for tomorrow, today

The challenges we face in the 21st century require, in many cases, accelerated molecular and materials discovery. In this talk, I will discuss the research in my group towards the realization of "self-driving laboratories", which have the goal of accelerating the long materials discovery timescales by an order of magnitude. These AI-driven experimental workflows are composed of different integrated aspects. In particular, we have integrated high-throughput virtual screening, machine learning, software-controlled automated synthesis and characterization into a single platform.

Speaker: Alán Aspuru-Guzik, University of Toronto