首页|Research from University of Sheffield Has Provided New Study Findings on Machine Learning (Material informatics for functional magnetic material discovery)
Research from University of Sheffield Has Provided New Study Findings on Machine Learning (Material informatics for functional magnetic material discovery)
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Data detailed on artificial intelligence have been presented. According to news originating from Sheffield, United Kingdom, by NewsRx correspondents, research stated, “Functional magnetic materials are used in a wide range of “green” applications, from wind turbines to magnetic refrigeration.” Funders for this research include Leverhulme Trust; Henry Royce Institute; Engineering And Physical Sciences Research Council. Our news reporters obtained a quote from the research from University of Sheffield: “Often the magnetic materials used contain expensive and/or scarce elements, making them unsuitable for long term solutions. Further, traditional material discovery is a slow and costly process, which can take over 10 years. Material informatics is a growing field, which combines informatics, machine learning (ML) and high-throughput experiments to rapidly discover new materials.”
University of SheffieldSheffieldUnited KingdomEuropeCyborgsEmerging TechnologiesMachine Learning
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