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High Pressure Deuterium Passivation of Charge Trapping Layer for Nonvolatile Memory Applications.
Sung, Jae-Young; Jeong, Jun-Kyo; Ko, Woon-San; Byun, Jun-Ho; Lee, Hi-Deok; Lee, Ga-Won.
Afiliação
  • Sung JY; Department of Electronics Engineering, Chungnam National University, Daejeon 305-764, Korea.
  • Jeong JK; Department of Electronics Engineering, Chungnam National University, Daejeon 305-764, Korea.
  • Ko WS; Department of Electronics Engineering, Chungnam National University, Daejeon 305-764, Korea.
  • Byun JH; Department of Electronics Engineering, Chungnam National University, Daejeon 305-764, Korea.
  • Lee HD; Department of Electronics Engineering, Chungnam National University, Daejeon 305-764, Korea.
  • Lee GW; Department of Electronics Engineering, Chungnam National University, Daejeon 305-764, Korea.
Micromachines (Basel) ; 12(11)2021 Oct 27.
Article em En | MEDLINE | ID: mdl-34832728
In this study, the deuterium passivation effect of silicon nitride (Si3N4) on data retention characteristics is investigated in a Metal-Nitride-Oxide-Silicon (MNOS) memory device. To focus on trap passivation in Si3N4 as a charge trapping layer, deuterium (D2) high pressure annealing (HPA) was applied after Si3N4 deposition. Flat band voltage shifts (ΔVFB) in data retention mode were compared by CV measurement after D2 HPA, which shows that the memory window decreases but charge loss in retention mode after program is suppressed. Trap energy distribution based on thermal activated retention model is extracted to compare the trap density of Si3N4. D2 HPA reduces the amount of trap densities in the band gap range of 1.06-1.18 eV. SIMS profiles are used to analyze the D2 profile in Si3N4. The results show that deuterium diffuses into the Si3N4 and exists up to the Si3N4-SiO2 interface region during post-annealing process, which seems to lower the trap density and improve the memory reliability.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article