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 ...
Weiyi Xia, Masahiro Sakurai, Balamurugan Balasubramanian, Timothy Liao, Renhai Wang, Chao Zhang, Huaijun Sun, Kai-Ming Ho, James R. Chelikowsky, David J. Sellmyer, Cai-Zhuang Wang Proceedings of the ...
Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...
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 ...
Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...
Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...
Palo Alto, CA; September 10, 2025 – SandboxAQ today announced the launch of AQCat25, an AI dataset for atomic-scale dynamics used in industrial chemistry. The AQCat25 dataset enables researchers to ...
Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a comprehensive review of ...
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 ...
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