AI Robot Lab Advances Heat-Resistant Coatings Discovery

Researchers at the University of Nottingham have developed an AI-driven robotic laboratory to automate the discovery of heat-resistant materials. The system uses active learning to optimize the creation of thermal barrier coatings for aerospace and energy applications.
Why it matters
Automated material discovery significantly accelerates the development of high-performance components for extreme environments.
Researchers have developed a self-driving laboratory that combines artificial intelligence (AI) and robotics to automate laboratory tasks, from accurately measuring and mixing chemical ingredients to high-temperature furnace processing and sample retrieval.
The team at the Centre of Excellence in Coating and Surface Engineering (CE-CSE) at the University of Nottingham have developed the system that could support the discovery and optimisation of advanced materials for applications including aerospace, energy and high-temperature engineering.
Developing new materials for extreme environments traditionally involves repeated experiments, with researchers preparing samples, processing them and testing their properties. These processes can be time-consuming and require many individual steps.
The Nottingham team has brought these tasks together in a coordinated automated system. Two robotic arms, a specially designed liquid-dispensing tool, laboratory equipment and purpose-built software work together to carry out the process.
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