2018
DOI: 10.7567/jjap.57.06kc02
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Low-voltage high-speed programming gate-all-around floating gate memory cell with tunnel barrier engineering

Abstract: The aim of this study is to investigate the memory performances of gate-all-around floating gate (GAA-FG) memory cell implementing engineered tunnel barrier concept of variable oxide thickness (VARIOT) of low-k/high-k for several high-k (i.e., Si 3 N 4 , Al 2 O 3 , HfO 2 , and ZrO 2 ) with low-k SiO 2 using three-dimensional (3D) simulator Silvaco ATLAS. The simulation work is conducted by initially determining the optimized thickness of low-k/ high-k barrier-stacked and extracting their Fowler-Nordheim (FN) c… Show more

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Cited by 13 publications
(6 citation statements)
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References 28 publications
(71 reference statements)
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“…In part 1, using Silvaco TCAD Tools, the virtual device structure of graphene-based FG non-volatile memory cell is simulated based on experimental work in [6], refer Table 1 and Figure 2 while the graphene properties parameters are referred to [11]. The FN tunnelling model is used as the electron tunnelling through a barrier using the extracted FN parameters work in [12]. The number of electrons stored in FG and memory window for 1s from the simulation is validated with experimental data [6] refer Figure 4.…”
Section: Methodsmentioning
confidence: 99%
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“…In part 1, using Silvaco TCAD Tools, the virtual device structure of graphene-based FG non-volatile memory cell is simulated based on experimental work in [6], refer Table 1 and Figure 2 while the graphene properties parameters are referred to [11]. The FN tunnelling model is used as the electron tunnelling through a barrier using the extracted FN parameters work in [12]. The number of electrons stored in FG and memory window for 1s from the simulation is validated with experimental data [6] refer Figure 4.…”
Section: Methodsmentioning
confidence: 99%
“…Variable Programming Erasing FN tunneling coefficients [12] AFN (A/V 2 ) 1.23 × 10 −6 1.87 × 10 −7 BFN (V/cm) 2.37 × 10 8 1.88 × 10 8 BBHE tunneling coefficients [13] BBA (cm -1 V -2 s -1 ) 9.6615 × 10 18 -BBB (V/cm) 3.0 × 10 7 -BBγ 2.0 -For part 2, the simulation works continue by changing the doping type of flash memory cells from nchannel to p-channel (refer Table 1) while all the cell dimensions and parameters remain unchanged (refer Figure 3). The device fabrication for flash MLG device in [6] did not mentioned the exact gate length of the device therefore 600 nm gate length is chosen for simulation due to the standard simulation value for MOSFET.…”
Section: Methodsmentioning
confidence: 99%
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“…Note that tunneling oxide thicknesses of 8 nm or more are currently used in the commercial flash memory chips in order to meet the 10 years' data retention time requirement. [40] The utilized 5 nm SiO 2 tunneling barrier stretches slightly the 6 nm benchmark for fast programming operation [1,41] counterbalancing leakage by confinement on molecular states. The metal oxide stack utilizes two main functional components: the charge-trapping core and the optically active gate oxide cap.…”
Section: Architecture Of the Cellmentioning
confidence: 99%
“…[18][19][20][21][22][23] To improve the memory characteristics of the floating-gate devices, there are many reports to realize low-voltage operation utilizing high-k dielectrics. [24][25][26][27][28][29][30] We have reported the lowvoltage operation of the floating-gate structure utilizing a Ndoped LaB 6 /LaB x N y stacked structure. 10) Although the program/erase characteristics were observed, the memory characteristics should be improved.…”
Section: Introductionmentioning
confidence: 99%