Invention Grant
- Patent Title: Capacitative artificial neural networks
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Application No.: US16371736Application Date: 2019-04-01
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Publication No.: US10740672B2Publication Date: 2020-08-11
- Inventor: Jianhua Yang , Qiangfei Xia , Zhongrui Wang , Qing Wu , Mark R. McLean
- Applicant: University of Massachusetts
- Applicant Address: US MA Boston
- Assignee: Univerity of Massachusetts
- Current Assignee: Univerity of Massachusetts
- Current Assignee Address: US MA Boston
- Agency: Fish & Richardson P.C.
- Main IPC: G06N3/04
- IPC: G06N3/04 ; H01L45/00 ; H01L49/02 ; H01L29/51 ; H01L29/423 ; H01L27/092 ; H01L29/49 ; H01L29/788

Abstract:
In one aspect, an apparatus includes a diffusive memristor, and a capacitor integrated in series with the diffusive memristor, wherein the apparatus exhibits volatile memcapacitive behavior. In another aspect, a device includes a transistor, and a memcapacitor integrated onto the gate of the transistor, wherein the memcapacitor exhibits volatile memcapacitive behavior. The memcapacitor includes a diffusive memristor, and a capacitor integrated in series with the diffusive memristor, wherein the gate dielectric of the transistor is replaced with the memcapacitor. In another aspect, an artificial neuron device includes a transistor, a volatile memcapacitor that is configured to operate as an electrically floating gate of the transistor, and one or more synaptic circuits that are coupled to the volatile memcapacitor. The volatile memcapacitor includes a diffusive memristor, and a capacitor integrated in series with the diffusive memristor.
Public/Granted literature
- US20190303744A1 CAPACITIVE ARTIFICIAL NEURAL NETWORKS Public/Granted day:2019-10-03
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