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Physical Reservoir based on a Leaky-FeFET Using the Temporal Memory Effect
Journal
IEEE Electron Device Letters (EDL)
Author
Gyusoup Lee, Changyeon Kang, Seongho Kim, Youngkeun Park, Eui Joong Shin, and *Byung Jin Cho (Senior Member, IEEE)
Year
2023
Date
28 November 2023

Abstract:

In this work, a leaky-Ferroelectric Field Effect Transistor (FeFET) neuron is introduced as a physical reservoir in a reservoir computing scheme. Compared to a conventional FeFET reservoir control sample, which did not show leaky behavior, the proposed leaky-FeFET neuron-based physical reservoir exhibited 78.6% and 62.9% improvements in memory capacity for Short Term Memory (STM) and Parity Check (PC) tasks, respectively. The improvements are attributed to the temporal memory effect induced by the leaky-integrating neuronal behavior, which originates from the retention degradation of the FeFET.