AI-powered robotic laboratory paves the way for discovering next-generation heat-resistant coatings

Researchers at the University of Nottingham have created an AI-driven robotic laboratory to automate the discovery of heat-resistant materials. The system uses 'active learning' to optimize chemical experiments for aerospace and energy applications.
Why it matters
Automating material science research significantly accelerates the development of advanced technologies needed for extreme environments.
edited by Lisa Lock , reviewed by Andrew Zinin
This article has been reviewed according to Science X's editorial process and policies . Editors have highlighted the following attributes while ensuring the content's credibility:
Add to Preferred Sources Credit: University of Nottingham Researchers have developed a self-driving laboratory that combines artificial intelligence 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 Center of Excellence in Coating and Surface Engineering (CE-CSE) at the University of Nottingham has developed the system that could support the discovery and optimization 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.
Also covering this story
One other newsroom covered this event. We read that version too.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in