Back‐End‐of‐Line SiC‐Based Memristor for Resistive Memory and Artificial Synapse

Abstract: Two‐terminal memristor has emerged as one of the most promising neuromorphic artificial electronic devices for their structural resemblance to biological synapses and ability to emulate many synaptic functions. In this work, a memristor based on the back‐end‐of‐line (BEOL) material silicon carbide (SiC) is developed. The thin film memristors demonstrate excellent binary resistive switching with compliance‐free and self‐rectifying characteristics which are advantageous for the implementation of high‐density 3D crossbar memory architectures. The conductance of this SiC‐based memristor can be modulated gradually through the application of both DC and AC signals. This behavior is demonstrated to further emulate several vital synaptic functions including paired‐pulse facilitation (PPF), post‐tetanic potentiation (PTP), short‐term potentiation (STP), and spike‐rate‐dependent plasticity (SRDP). The synaptic function of learning‐forgetting‐relearning processes is successfully emulated and demonstrated using a 3 × 3 artificial synapse array. This work presents an important advance in SiC‐based memristor and its application in both memory and neuromorphic computing.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Back‐End‐of‐Line SiC‐Based Memristor for Resistive Memory and Artificial Synapse ; day:01 ; month:06 ; year:2022 ; extent:9
Advanced electronic materials ; (01.06.2022) (gesamt 9)

Creator
Kapur, Omesh
Guo, Dongkai
Reynolds, Jamie
Han, Yisong
Beanland, Richard
Jiang, Liudi
Groot, C. H. de
Huang, Ruomeng

DOI
10.1002/aelm.202200312
URN
urn:nbn:de:101:1-2022060116074534844201
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:28 AM CEST

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Associated

  • Kapur, Omesh
  • Guo, Dongkai
  • Reynolds, Jamie
  • Han, Yisong
  • Beanland, Richard
  • Jiang, Liudi
  • Groot, C. H. de
  • Huang, Ruomeng

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