Robotics & Machine Learning Daily News2024,Issue(Feb.14) :84-84.DOI:10.1021/acs.jpcc.3c05742

Researchers from Tsinghua University Report Details of New Studies and Findings in the Area of Machine Learning (Interpretable Machine Learning To Discover Perovskites With High Spontaneous Polarization)

Robotics & Machine Learning Daily News2024,Issue(Feb.14) :84-84.DOI:10.1021/acs.jpcc.3c05742

Researchers from Tsinghua University Report Details of New Studies and Findings in the Area of Machine Learning (Interpretable Machine Learning To Discover Perovskites With High Spontaneous Polarization)

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Abstract

Investigators discuss new findings in Machine Learning. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Machine learning can accelerate the design of new materials by screening large quantities of materials. We investigated the spontaneous polarization intensity of inorganic perovskite ferroelectrics using a machine learning approach.”

Key words

Beijing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Tsinghua University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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