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• W3188859865 startingPage "104001" @default.
• W3188859865 abstract "Neuro-inspired deep learning algorithm has shown promising futures for artificial intelligence (AI). Despite the remarkable progress on software-based neural network, the traditional von-Neumann hardware architecture has suffered from limited energy efficiency while facing unprecedented large amount of data. In order to meet the performance requirement of neuro-inspired computing, the large-scale vector-matrix multiplication is preferred to be performed in-situ, namely compute-in-memory (CIM). Non-volatile memory devices with different materials have been proposed for weight storage as synaptic devices. Among them, the HfO2-based ferroelectric devices have obtained great attention because of their low energy consumption, good CMOS compatibility and multi-bit per cell potential. In this review, recent trends and prospects of the ferroelectric synaptic devices are surveyed. First, we present the three-terminal synaptic devices based on ferroelectric field effect transistor (FeFET), and discuss the switching physics of the intermediate states, the back-end-of-line (BEOL) integration and the 3D NAND architecture design. Then, we introduce hybrid precision synapse concept that leverages the volatile charges on the gate capacitor of FeFET and the non-volatile polarization on the gate dielectric of FeFET. Lastly, we review two-terminal synaptic devices using ferroelectric tunnel junction (FTJ) and ferroelectric capacitor (FeCAP). Design margins of the crossbar array with FTJ and FeCAP are analyzed." @default.
• W3188859865 created "2021-08-16" @default.
• W3188859865 creator A5032184694 @default.
• W3188859865 creator A5041409707 @default.
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• W3188859865 creator A5054894631 @default.
• W3188859865 creator A5055097977 @default.
• W3188859865 creator A5038795344 @default.
• W3188859865 date "2021-09-20" @default.
• W3188859865 modified "2023-09-23" @default.
• W3188859865 title "Ferroelectric HfO₂-based synaptic devices: recent trends and prospects" @default.
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