DigiFAB relies on four interconnected pillars to tackle major challenges in digital molecular design and fabrication, led by experts reflecting Imperial College London's interdisciplinary strength.

The pillars, underpinned by our Data Strategy, work together to deliver research applications such as Reaction Optimisation, AI-driven materials discovery, Accelerated drug-discovery and Precision Agriculture. You can find a recent example of data-driven approach for drug discovery here.


DigiFAB works on closing the loop. An autonomous chemistry laboratory runs experiments. In the cycle, AI models the experiment and designs for example a compound, robotic equipment runs the synthesis, and AI evaluates the output; researchers interpret the data and adjust experimental models as needed.

Closing the loop screenshot