Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional materials. Materials scientists are therefore working to develop and improve new ...
A Johns Hopkins University engineer has developed a specialized AI tool that could do for materials scientists what ChatGPT has done for coders and writers. The new system, called ChatGPT Materials ...
Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku University. In an article published in the journal Precision Chemistry, they ...
Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku University. In a new article published in the journal Precision Chemistry, ...
Nanoengineers have developed an AI algorithm that predicts the structure and dynamic properties of any material -- whether existing or new -- almost instantaneously. Known as M3GNet, the algorithm was ...
The study found that materials databases are no longer just places to store information. Instead, they play a central role in determining how well AI models perform. The way data is collected, ...
(Nanowerk News) Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional materials. Materials scientists are therefore working to develop ...
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