How can artificial intelligence (AI) machine learning models be used to identify new materials? This is what a recent study published in Nature hopes to address as a team of researchers investigated ...
Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
Dhruv Shenai investigates how machine learning and lab automation are transforming materials science at Cambridge ...
Machine learning, a type of artificial intelligence, has many applications in science, from finding gravitational lenses in the distant universe to predicting virus evolution. Hubble Space Telescope ...
Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...
Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...
More information: Y. Hashimoto et al, A materials map integrating experimental and computational data via graph-based machine learning for enhanced materials discovery, APL Machine Learning (2025).
Join us to learn about how to use cutting edge GPU infrastructure to solve real world material discovery problems with AI and unsupervised machine learning. Our lab in the Department of Materials ...
A recent study published in Small highlights how machine learning (ML) is reshaping the search for sustainable energy materials. Researchers introduced OptiMate, a graph attention network designed to ...
This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...
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