Automation is hugely powerful for more focused, hypothesis-driven searches, where it can accelerate the synthesis and measurement steps in our Materials Design Engine.
Our 10-year objective is for Centre researchers to work with an AI ‘research advisor’ that acts as a semantic reasoning interface with the knowledge base.
Researchers trained in the Centre must understand the broader context of their work – what are the socioeconomic drivers for discovering new materials?