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Modeling and simulation of nonvolatile memory based on copper sulfide
Other Title(s)
نمذجة و محاكاة ذاكرة خزن لافولتائية باستخدام مركب كبريتيد النحاس Cu2S
Author
Source
Tikrit Journal of Engineering Sciences
Issue
Vol. 23, Issue 2 (30 Jun. 2016), pp.103-109, 7 p.
Publisher
Tikrit University Colleg of Engineering
Publication Date
2016-06-30
Country of Publication
Iraq
No. of Pages
7
Main Subjects
Abstract EN
The memory cells has become one of the computer basics electronic components, especially nonvolatile ion-dependent growth of filament or so called Conductive Bridge Random Access Memory (CBRAM) type.
The memory cells in this work is focused on using copper sulfide as ionic compound Cu2S, the model proposed to identify the behavior of the cell in terms of voltage and current.
The model cell is then simulated in order to extract the variables that affect the behavior of the cell and the factors which can be identify the optimal dimensions and specifications in terms of their small size and minimum power dissipation as possible at the same time.
The simulation results show that the best thickness of the cell is about 20 nm with a radius equal to 10 nm, These dimensions of the cell has a resistance ratio of high resistance state HRS to low resistance state LRS(Roff / Ron) which correspond to different logic is about 1014 .
American Psychological Association (APA)
Muhammad, Khalid Khalil. 2016. Modeling and simulation of nonvolatile memory based on copper sulfide. Tikrit Journal of Engineering Sciences،Vol. 23, no. 2, pp.103-109.
https://search.emarefa.net/detail/BIM-936948
Modern Language Association (MLA)
Muhammad, Khalid Khalil. Modeling and simulation of nonvolatile memory based on copper sulfide. Tikrit Journal of Engineering Sciences Vol. 23, no. 2 (2016), pp.103-109.
https://search.emarefa.net/detail/BIM-936948
American Medical Association (AMA)
Muhammad, Khalid Khalil. Modeling and simulation of nonvolatile memory based on copper sulfide. Tikrit Journal of Engineering Sciences. 2016. Vol. 23, no. 2, pp.103-109.
https://search.emarefa.net/detail/BIM-936948
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-936948