Invention Grant
- Patent Title: Memristor and neural network using same
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Application No.: US16756993Application Date: 2018-10-19
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Publication No.: US11276820B2Publication Date: 2022-03-15
- Inventor: Mutsumi Kimura , Sumio Sugisaki , Yoshinori Miyamae
- Applicant: RYUKOKU UNIVERSITY , ROHM CO., LTD.
- Applicant Address: JP Otsu; JP Kyoto
- Assignee: RYUKOKU UNIVERSITY,ROHM CO., LTD.
- Current Assignee: RYUKOKU UNIVERSITY,ROHM CO., LTD.
- Current Assignee Address: JP Otsu; JP Kyoto
- Agency: United IP Counselors, LLC
- Priority: JPJP2017-202437 20171019
- International Application: PCT/JP2018/039111 WO 20181019
- International Announcement: WO2019/078367 WO 20190425
- Main IPC: G06N3/063
- IPC: G06N3/063 ; H01L45/00 ; G06N3/04 ; G11C11/54 ; G11C13/00 ; H01L27/24 ; H01L29/786

Abstract:
Provided is a memristor that can be manufactured at a low temperature, and does not include metals of which resources might be depleted. This memristor includes a first electrode, a second electrode, and a memristor layer of an oxide having elements of Ga, Sn, and oxygen, disposed between the first electrode and the second electrode. When voltage is applied to the first electrode with respect to the second electrode, the voltage being positive or negative, a current flows; when voltage of a data-set voltage value is applied, a state is transitioned from a high-resistance state to a low-resistance state; and when voltage of a data-reset voltage value that is of an opposite sign to that of the data-set voltage value is applied, the state is transitioned from a low-resistance state to a high-resistance state.
Public/Granted literature
- US20210036223A1 MEMRISTOR AND NEURAL NETWORK USING SAME Public/Granted day:2021-02-04
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