Robotics & Machine Learning Daily News2024,Issue(Feb.1) :65-66.DOI:10.1063/9.0000657

Research from University of Sheffield Has Provided New Study Findings on Machine Learning (Material informatics for functional magnetic material discovery)

Robotics & Machine Learning Daily News2024,Issue(Feb.1) :65-66.DOI:10.1063/9.0000657

Research from University of Sheffield Has Provided New Study Findings on Machine Learning (Material informatics for functional magnetic material discovery)

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Abstract

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.”

Key words

University of Sheffield/Sheffield/United Kingdom/Europe/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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