Revolutionising ways to find essential materials

The current ‘trial and error’ method of discovering new advanced materials can take years and can be limited by existing knowledge or bias. By combining pioneering computational methods with automation and robotics it will allow fast and uninhibited breakthroughs in all kinds of research. The computer programs and robots will be open to finding things that are completely new.

This is a collaborative project with Professor Andy Cooper from the University of Liverpool and Professor Kerstin Thurow from the University of Rostock in Germany. Expertise from Southampton in computational chemistry modelling and machine learning will be joined with the synthesis and characterisation of new materials at Liverpool and robotic and automation expertise at Rostock.

Robots can do a lot of experiments, but they need to be told what to do.

Southampton are developing computational methods that can propose molecules that look good and predicting how they come together in the solid state. They are working out ways to ask the computers to investigate different types of molecules without having people set up each calculation manually.

The robotics experts are developing the computational brain that will control the robots. The computational modelling will provide the data that will guide the robots decisions.

The €10 million research ADAM (Autonomous Discovery of Advanced Materials) project started in 2020 and is running for six years. The first members of the project team, which will reach 20 researchers at the three institutions, have been recruited over the first few months of the project.

Our partners in Liverpool and Rostock are looking at some of the initial challenges for how they are going to handle materials. Initial experiments to pass information from the computational models to the robots in the lab are due to get underway this summer.