2010 IEEE International Reliability Physics Symposium 2010
DOI: 10.1109/irps.2010.5488695
|View full text |Cite
|
Sign up to set email alerts
|

Variability effects on the V<inf>T</inf> distribution of nanoscale NAND Flash memories

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
18
0

Year Published

2010
2010
2019
2019

Publication Types

Select...
3
3

Relationship

1
5

Authors

Journals

citations
Cited by 15 publications
(18 citation statements)
references
References 7 publications
0
18
0
Order By: Relevance
“…We developed a compact model partially based on [17], which includes variability effects typical of nanoscaled memories. This allowed to simulate array functionalities during a page-wide programming operation.…”
Section: Runtime-selection Of Program Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…We developed a compact model partially based on [17], which includes variability effects typical of nanoscaled memories. This allowed to simulate array functionalities during a page-wide programming operation.…”
Section: Runtime-selection Of Program Algorithmmentioning
confidence: 99%
“…Without loss of generality, we chose to investigate and explore the ISPP full sequence strategy [2] instead of the two-rounds one since it allows reduced simulation time and faster post-processing of the experimental results All these effects contribute to significantly broaden the gaussian distributions related to the programmed threshold voltage levels within the array, negatively impacting the RBER. For the sake of model validation, we were able to perfectly fit experimental data collected from [17] …”
Section: Runtime-selection Of Program Algorithmmentioning
confidence: 99%
“…V ARIABILITY effects are becoming more and more important for NAND Flash memories, affecting the uniformity and reproducibility of device characteristics and operations as cell dimensions scale down [1]- [4]. In this respect, two main variability sources can be identified: The first is related to cell-to-cell parameter variations, due to process and fundamental reasons [1], and the second accounts for the statistics of fewelectron tunneling and is related to the discrete electron transfer to/from the floating gate (FG) during cell operation [2]- [4].…”
Section: Impact Of Neutral Threshold-voltage Spread and Electron-emismentioning
confidence: 99%
“…In this respect, two main variability sources can be identified: The first is related to cell-to-cell parameter variations, due to process and fundamental reasons [1], and the second accounts for the statistics of fewelectron tunneling and is related to the discrete electron transfer to/from the floating gate (FG) during cell operation [2]- [4]. While this latter variability source appears only when changing the charge state of the FG, fluctuations in cell parameters also Manuscript result into a spread of the neutral threshold voltage (V T,0 ) of the cells in the memory array [1], with atomistic substrate doping representing one of the major spread contributions [5], [6].…”
Section: Impact Of Neutral Threshold-voltage Spread and Electron-emismentioning
confidence: 99%
See 1 more Smart Citation