Voltage-operating reservoir computing utilizing ferroelectric-FET source follower configurations

Abstract We investigate FeFET reservoir computing (RC) utilizing a voltage readout scheme instead of the conventional current readout scheme to reduce the power consumption of an RC system and expand the range of applications. The voltage-output RC operates with time-series V out data of a source follower of a FeFET (FeSF), to effectively utilize temporal memory as well as nonlinearity originating from ferroelectric polarization dynamics. We show that this RC system can solve several nonlinear tasks including time-series data prediction. Furthermore, to achieve higher computational performance in voltage-output FeSF RC, an FET is inserted between the source of the FeFET and the ground, which can operate as a current source to mitigate the slow pull-down operation of voltage-output FeSF RC. We also propose an RC system utilizing voltage responses from complementary working FeSFs with original and inverted gate input patterns to demonstrate high RC performance.

Authors

Institutions

Publication Details

Journal
Japanese Journal of Applied Physics
Published
2025-02-01
DOI
https://doi.org/10.35848/1347-4065/adb295
Citations
5
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
3.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Voltage-operating reservoir computing utilizing ferroelectric-FET source follower configurations

Mitsuru Takenaka, Shinichi Takagi, Rikuo Suzuki, Eishin Nako et al.
5 citations
Japanese Journal of Applied Physics
Advanced Memory and Neural Computing
3.65
article

Voltage-operating reservoir computing utilizing ferroelectric-FET source follower configurations

Mitsuru Takenaka, Shinichi Takagi, Rikuo Suzuki, Eishin Nako, Ryosho Nakane, Kasidit Toprasertpong
article en
5 citations

Abstract

Abstract We investigate FeFET reservoir computing (RC) utilizing a voltage readout scheme instead of the conventional current readout scheme to reduce the power consumption of an RC system and expand the range of applications. The voltage-output RC operates with time-series V out data of a source follower of a FeFET (FeSF), to effectively utilize temporal memory as well as nonlinearity originating from ferroelectric polarization dynamics. We show that this RC system can solve several nonlinear tasks including time-series data prediction. Furthermore, to achieve higher computational performance in voltage-output FeSF RC, an FET is inserted between the source of the FeFET and the ground, which can operate as a current source to mitigate the slow pull-down operation of voltage-output FeSF RC. We also propose an RC system utilizing voltage responses from complementary working FeSFs with original and inverted gate input patterns to demonstrate high RC performance.

Japanese Journal of Applied PhysicsVol. 64(2)
The University of Tokyo (JP)
Openalex Percentile: Top 8%
Advanced Memory and Neural Computing
3.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.