Researchers from Jilin University Report Findings in Machine Learning (Partial M elting Nature of Phase-change Memory Ge-sb-te Superlattice Uncovered By Large-sc ale Machine Learning Interatomic Potential Molecular Dynamics)

Robotics & Machine Learning Daily News2024，Issue(Sep.2) ：13-14.

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Researchers from Jilin University Report Findings in Machine Learning (Partial M elting Nature of Phase-change Memory Ge-sb-te Superlattice Uncovered By Large-sc ale Machine Learning Interatomic Potential Molecular Dynamics)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning is now available. According to news reporting originating inChangchun, People’s Republic of Chin a, by NewsRx journalists, research stated, “[GeTe] m-[Sb2Te3]n superlattice (GST-SL) is a pro mising material candidate to solve the critical problem of highpowerconsumption for phase-change memory technology. However, the switching mechanism is still u nderstrong debate during the last decade.”

Key words

Changchun/People’s Republic of China/A sia/Cyborgs/Emerging Technologies/Machine Learning/Molecular Dynamics/Physi cs/Jilin University

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出版年

2024

Robotics & Machine Learning Daily News

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