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Correlation between oxygen flow-controlled resistive switching and capacitance behavior in gallium oxide memristors grown via RF sputtering.
Lee, Hye Jin; Kim, Jeong-Hyeon; Choi, Jongyun; Kim, Yoon Seok; Lee, Sung-Nam.
Afiliação
  • Lee HJ; Department of IT & Semiconductor Convergence Engineering, Tech University of Korea, Siheung, 15073, Republic of Korea.
  • Kim JH; Department of IT & Semiconductor Convergence Engineering, Tech University of Korea, Siheung, 15073, Republic of Korea.
  • Choi J; Department of IT & Semiconductor Convergence Engineering, Tech University of Korea, Siheung, 15073, Republic of Korea.
  • Kim YS; Department of Nano & Semiconductor Engineering, Tech University of Korea, Siheung, 15073, Republic of Korea.
  • Lee SN; Department of IT & Semiconductor Convergence Engineering, Tech University of Korea, Siheung, 15073, Republic of Korea.
Heliyon ; 9(12): e23157, 2023 Dec.
Article em En | MEDLINE | ID: mdl-38144313
ABSTRACT
We studied on the bipolar resistive switching (RS)-dependent capacitance of Ga2O3 memristors, grown using controlled oxygen flow via a radio frequency sputtering process. The Ag/Ga2O3/Pt memristor structure was employed to investigate the capacitance changes associated with RS behavior and oxygen concentration. In the low-resistance state (LRS), capacitance increased by over 60 times compared to the high-resistance state (HRS). Furthermore, in the HRS state, increasing the oxygen flow from 0 to 0.3 sccm resulted in an 80 % decrease in capacitance, while in the LRS state, capacitance increased by 128 %. These results indicate that RS-dependent capacitance in Ga2O3 memristors is influenced by the density of oxygen vacancies. The presence of oxygen vacancies affects charge storage capacity and capacitance, with higher oxygen concentrations leading to reduced capacitance in HRS and increased capacitance in LRS. The results contribute to the understanding of the capacitance behavior in Ga2O3 memristors and highlight the significance of oxygen vacancies in their operation.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article