首页|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)
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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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.”
ChangchunPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningMolecular DynamicsPhysi csJilin University
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