2012
DOI: 10.1109/led.2011.2179002
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Variation Study and Implications for BJT-Based Thin-Body Capacitorless DRAM

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Cited by 4 publications
(2 citation statements)
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“…Therefore, the refresh time of an array of DRAMs, which is determined by the DRAM cells that are more susceptible to variations such as RDF, increases. For a Silicon-on-Insulator-based 1T DRAM, the critical parameters contributing to the variability are silicon film thickness, thickness of the buried oxide and RDF [18]. These variations can reduce the RT in a DRAM by 63% for the 22 − nm technology node.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the refresh time of an array of DRAMs, which is determined by the DRAM cells that are more susceptible to variations such as RDF, increases. For a Silicon-on-Insulator-based 1T DRAM, the critical parameters contributing to the variability are silicon film thickness, thickness of the buried oxide and RDF [18]. These variations can reduce the RT in a DRAM by 63% for the 22 − nm technology node.…”
Section: Introductionmentioning
confidence: 99%
“…[10][11][12][13][14][15][16] This is a limitation in scaling down gate length and floating body thickness, because retention properties of floating body effects suffer from short channel effects such as draininduced barrier lowering (DIBL) but PDSOI structure cannot effectively suppress these problems, which results in low-grade retention characteristics of volatile memory function. [17][18][19][20][21][22][23][24][25][26] In this work, a single memory cell having both volatile and non-volatile functions is demonstrated with an independent asymmetric dual-gate and a thin, fully depleted body structure. The volatile memory (VM) can be obtained even in a fully depleted body thanks to the field effect of trapped charges in the nitride layer and the nitride layer allows the non-volatile memory (NVM) in the device at the same time.…”
Section: Introductionmentioning
confidence: 99%