Self-Driving Laboratories

We have become very good at modeling chemical data, but a prediction only matters once it turns into a real molecule or material. Self-driving labs close that gap by pairing robots with models that decide what to try next. Automation also improves the data itself: cheaper, more consistent and easier to replicate. U of T has one of the densest clusters of SDLs anywhere. We expect the line between experimental and computational chemists to fade. The chemist of the future will program a robot to run experiments while modeling the chemistry behind them.