Voltage-mode reservoir computing with ferroelectric CMOS inverters
We propose reservoir computing (RC) utilizing a CMOS inverter composed of ferroelectric FETs (FeCMOS) to enhance energy efficiency and computational capability. We confirmed that the output voltage of an FeCMOS exhibits hysteresis characteristics originating from ferroelectric polarization dynamics...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2025-01-01
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| Series: | Applied Physics Express |
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| Online Access: | https://doi.org/10.35848/1882-0786/ade199 |
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| author | Rikuo Suzuki Kasidit Toprasertpong Ryosho Nakane Eishin Nako Mitsuru Takenaka Shinichi Takagi |
| author_facet | Rikuo Suzuki Kasidit Toprasertpong Ryosho Nakane Eishin Nako Mitsuru Takenaka Shinichi Takagi |
| author_sort | Rikuo Suzuki |
| collection | DOAJ |
| description | We propose reservoir computing (RC) utilizing a CMOS inverter composed of ferroelectric FETs (FeCMOS) to enhance energy efficiency and computational capability. We confirmed that the output voltage of an FeCMOS exhibits hysteresis characteristics originating from ferroelectric polarization dynamics and the FeCMOS RC has the capability to solve fundamental nonlinear problems. Furthermore, we introduced a technique to enhance the computational capability of FeCMOS RC by adjusting the center of the operating voltage according to the threshold voltage. This approach facilitates transient dynamics with a wider range of intermediate output voltage and enhances the performance of the RC system. We also demonstrate that FeCMOS RC can solve nonlinear time-series prediction tasks with higher energy efficiency than conventional FeFET RC systems. |
| format | Article |
| id | doaj-art-6a73708d6f254ed39cfee28b0e867096 |
| institution | Kabale University |
| issn | 1882-0786 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Applied Physics Express |
| spelling | doaj-art-6a73708d6f254ed39cfee28b0e8670962025-08-20T03:30:19ZengIOP PublishingApplied Physics Express1882-07862025-01-0118606100210.35848/1882-0786/ade199Voltage-mode reservoir computing with ferroelectric CMOS invertersRikuo Suzuki0https://orcid.org/0009-0002-1952-3509Kasidit Toprasertpong1https://orcid.org/0000-0003-4206-8698Ryosho Nakane2https://orcid.org/0000-0002-9059-9349Eishin Nako3Mitsuru Takenaka4https://orcid.org/0000-0002-9852-1474Shinichi Takagi5https://orcid.org/0000-0002-5601-2604Department of Electrical Engineering and Information Systems, The University of Tokyo , 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, JapanDepartment of Electrical Engineering and Information Systems, The University of Tokyo , 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, JapanDepartment of Electrical Engineering and Information Systems, The University of Tokyo , 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, JapanDepartment of Electrical Engineering and Information Systems, The University of Tokyo , 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, JapanDepartment of Electrical Engineering and Information Systems, The University of Tokyo , 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, JapanDepartment of Electrical Engineering and Information Systems, The University of Tokyo , 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, JapanWe propose reservoir computing (RC) utilizing a CMOS inverter composed of ferroelectric FETs (FeCMOS) to enhance energy efficiency and computational capability. We confirmed that the output voltage of an FeCMOS exhibits hysteresis characteristics originating from ferroelectric polarization dynamics and the FeCMOS RC has the capability to solve fundamental nonlinear problems. Furthermore, we introduced a technique to enhance the computational capability of FeCMOS RC by adjusting the center of the operating voltage according to the threshold voltage. This approach facilitates transient dynamics with a wider range of intermediate output voltage and enhances the performance of the RC system. We also demonstrate that FeCMOS RC can solve nonlinear time-series prediction tasks with higher energy efficiency than conventional FeFET RC systems.https://doi.org/10.35848/1882-0786/ade199reservoir computingferroelectric FETedge AICMOS technologytime-series predictionenergy efficiency |
| spellingShingle | Rikuo Suzuki Kasidit Toprasertpong Ryosho Nakane Eishin Nako Mitsuru Takenaka Shinichi Takagi Voltage-mode reservoir computing with ferroelectric CMOS inverters Applied Physics Express reservoir computing ferroelectric FET edge AI CMOS technology time-series prediction energy efficiency |
| title | Voltage-mode reservoir computing with ferroelectric CMOS inverters |
| title_full | Voltage-mode reservoir computing with ferroelectric CMOS inverters |
| title_fullStr | Voltage-mode reservoir computing with ferroelectric CMOS inverters |
| title_full_unstemmed | Voltage-mode reservoir computing with ferroelectric CMOS inverters |
| title_short | Voltage-mode reservoir computing with ferroelectric CMOS inverters |
| title_sort | voltage mode reservoir computing with ferroelectric cmos inverters |
| topic | reservoir computing ferroelectric FET edge AI CMOS technology time-series prediction energy efficiency |
| url | https://doi.org/10.35848/1882-0786/ade199 |
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