Robotics & Machine Learning Daily News2024,Issue(Mar.27) :33-34.

New Findings from Beihang University in the Area of Phase Change Materials Descr ibed (Revealing the Crystallization Dynamics of Sbte Phase Change Materials By Large-scale Simulations)

Robotics & Machine Learning Daily News2024,Issue(Mar.27) :33-34.

New Findings from Beihang University in the Area of Phase Change Materials Descr ibed (Revealing the Crystallization Dynamics of Sbte Phase Change Materials By Large-scale Simulations)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on Nanotechnology-Phase C hange Materials have been published. According to news reporting originating in Beijing, People's Republic of China, by NewsRx journalists, research stated, 'Un derstanding the crystallization dynamics of chalcogenide phase-change materials (PCMs) is crucial for optimizing their performance in data storage and neuromorp hic computing devices. However, experimental investigation is a great challenge due to the fast speed of transformations, and it is also difficult by ab initio molecular dynamics (AIMD) because of the huge cost of computing resources and the small system which AIMD can deal with.'

Key words

Beijing/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Molecular Dynamics/Nanotec hnology/Phase Change Materials/Physics/Beihang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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