Experimental demonstration of novel scheme of HZO/Si FeFET reservoir computing with parallel data processing for speech recognition
Author:
Affiliation:
1. The University of Tokyo,Department of Electrical Engineering and Information Systems,Tokyo,Japan,113-8656
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9830116/9830138/09830412.pdf?arnumber=9830412
Reference11 articles.
1. Isolated word recognition with the Liquid State Machine: a case study
2. Recent advances in physical reservoir computing: A review
3. Program/Erase Cycling Degradation Mechanism of HfO2-Based FeFET Memory Devices
4. Minimum Complexity Echo State Network
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1. Reservoir Computing System With HZO/Si FeFETs in Parallel Configuration: Experimental Demonstration of Speech Classification;IEEE Transactions on Electron Devices;2023-11
2. Reservoir Computing Utilizing Ferroelectric-Gate-Insulator FETs and Capacitors;2023 International Conference on IC Design and Technology (ICICDT);2023-09-25
3. Power‐Efficient Multisensory Reservoir Computing Based on Zr‐Doped HfO2 Memcapacitive Synapse Arrays;Advanced Materials;2023-08-25
4. Piezoelectric MEMS-based physical reservoir computing system without time-delayed feedback;Japanese Journal of Applied Physics;2023-08-01
5. In-materio reservoir computing based on nanowire networks: fundamental, progress, and perspective;Materials Futures;2023-05-19
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