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Performance improvement in reservoir computing by using HfZrO<sub>2</sub> FeFETs through operating voltage optimization

Shin-Yi Min, Kasidit Toprasertpong, Eishin Nako, Ryosho Nakane, Mitsuru Takenaka, Shinichi Takagi

2024Japanese Journal of Applied Physics14 citationsDOIOpen Access PDF

Abstract

Abstract We have investigated how the parameters of an input gate voltage ( V g ) waveform and a drain voltage ( V d ) impact the performance of reservoir computing (RC) using a Hf 0.5 Zr 0.5 O 2 ferroelectric FET (FeFET). The RC performance is maximized by the high swing amplitude of the V g and the most symmetrical polarization switching condition in the triangular-shaped input waveform, obtained by the center V g of 0.5 V, because of the enhanced polarization switching of the FeFETs. Regarding the V d dependence, the amount of the drain current and polarization switching have a trade-off relationship. As a result, a moderate V d of 1.0 V becomes optimum in terms of the RC performance because a difference in drain current responses between different gate input patterns is maximized with this V d . Furthermore, high computing capacities are achieved by combining the above optimal bias condition with drain current responses to both original and inverted gate input patterns.

Topics & Concepts

VoltageMaterials scienceComputer scienceOptoelectronicsElectrical engineeringEngineeringNeural Networks and Reservoir ComputingAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices