Row Hammer Reduction Using a Buried Insulator in a Buried Channel Array Transistor
In this article, we propose an analysis of the usage of a partial isolation type buried channel array transistor (Pi-BCAT). Compared with other structures, the conventional BCAT exhibits improved characteristics in the row hammer effect (RHE) because of its shallow drain/body (D/B) junction. Neverth...
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Published in | IEEE transactions on electron devices Vol. 69; no. 12; pp. 6710 - 6716 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.12.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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Summary: | In this article, we propose an analysis of the usage of a partial isolation type buried channel array transistor (Pi-BCAT). Compared with other structures, the conventional BCAT exhibits improved characteristics in the row hammer effect (RHE) because of its shallow drain/body (D/B) junction. Nevertheless, it remains affected by the RHE and should be mitigated because it is directly related to the reliability of dynamic random access memory (DRAM) applications. The proposed device exhibits a 50% improvement in the RHE and reduces leakage current (<inline-formula> <tex-math notation="LaTeX">{I}_{{\mathrm {OFF}}} </tex-math></inline-formula>) to one-third the level of conventional BCATs while also minimizing the ON -current (<inline-formula> <tex-math notation="LaTeX">{I}_{{\mathrm {ON}}} </tex-math></inline-formula>) reduction. Moreover, to efficiently compare RHE, we compare <inline-formula> <tex-math notation="LaTeX">\Delta {V}_{\text {SN}} </tex-math></inline-formula> by RHE and <inline-formula> <tex-math notation="LaTeX">\Delta {V}_{\text {SN}} </tex-math></inline-formula> based on the gate-induced drain leakage (GIDL) according to bias conditions and the device's parameters. Finally, we optimize the parameter values of the buried insulator by considering electrical characteristics and the RHE. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0018-9383 1557-9646 |
DOI: | 10.1109/TED.2022.3215931 |