Artificial intelligence advances how scientists explore materials. Researchers trained a machine-learning (ML) model to assess the stability of rare-earth compounds. The framework they developed ...
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AI and high-throughput testing reveal stability limits in organic redox flow batteries
In numerous scientific fields, high-throughput experimentation methods combined with artificial intelligence (AI) show great ...
Laboratory of Computer Design of New Materials and Machine Learning of the Institute of Physics has carried out comprehensive studies of typical trifluorides of rare earth elements—gadolinium (GdF₃), ...
This poster was originally authored by John Vincent, Matthew Burnham, Gerrit Daubner, and Martin Main of the Medicines Discovery Catapult. It was presented at ELRIG Drug Discovery 2023. Methods to ...
An international research team has developed a new two-dimensional perovskite interlayer based on a co-crystal engineering strategy for more robust perovskite films. It demonstrated improved ...
(Nanowerk News) Artificial intelligence advances how scientists explore materials. Researchers from Ames Laboratory and Texas A&M University trained a machine-learning (ML) model to assess the ...
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