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Ferro-floating memory:Dual-mode ferroelectric floating memory and its application to in-memory computing

InfoMat 2022年第11期4卷 93-105页

作者： Sangyong Park Seyong Oh Dongyoung Lee Jin-Hong Park Department of Semiconductor and Display Engineering Sungkyunkwan UniversitySuwonRepublic of Korea Flash Process Architecture Team Flash Development TeamMemory BusinessSamsung Electronics CompanyPyeongtaekRepublic of Korea Department of Electrical and Computer Engineering Sungkyunkwan University(SKKU)SuwonRepublic of Korea SKKU Advanced Institute of Nanotechnology(SAINT) Sungkyunkwan UniversitySuwonRepublic of KoreagBeijingPeople's Republic of China

Various core memory devices have been proposed for utilization in future inmemory computing technology featuring high energy *** memory is considered as a viable choice owing to its high integration density,stability,and reliability,which has been verified by commercialized ***,its high operating voltage and slow operation speed issues caused by the tunneling mechanism make its adoption in in-memory computing applications *** this paper,we introduce a dual-mode memory device named“ferro-floating memory”,fabricated using van der Waals(vdW)materials(h-BN,MoS2,andα-In2Se3).The vdW material,α-In2Se3,acts as a polarization control layer for the ferroelectric memory operation and charge storage layer for the conventional flash memory *** to the tunnelingbased memory operation,the ferro-floating memory operates 1.9 and 3.3 times faster at 6.7 and 5.8 times lower operating voltages for programming and erasing operations,*** dual-mode operation improves the linearity of conductance change by 5 times and the dynamic range by 48%through achieving conductance variation ***,we assess the effects of the variation in device operating voltage on neural networks and suggest a memory array operating scheme for maximizing the networks'performance through various training/inference simulations.

关键词： artificial synaptic device dual-mode operation mechanism ferroelectric floating memory inmemory computing multi-stages conductance reconfigurable operation range

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Digital Twin Framework and Its Application to Power Grid Online Analysis

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CSEE Journal of Power and Energy Systems 2019年第3期5卷 391-398页

作者： Mike Zhou Jianfeng Yan Donghao Feng China Electric Power Research Institute Beijing 100085China Kedong Electric Power Control System Co. Ltd.Beijing China

Digital twin(DT)framework is introduced in the context of application for power grid online *** the development process of a new power grid real-time online analysis system,an online analysis digital twin(OADT)has been implemented to realize the new online analysis *** OADT approach is presented and its prominent features are *** presentation,discussion,and performance testing are based on a large-scale grid network model(40K+buses),exported directly from the EMS system of an actual power grid.A plan to apply the OADT approach to digitize power grid dispatching rules is also outlined.

关键词： Complex event processing digital twin inmemory computing machine learning neural network model parallel computing power grid online analysis

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