2013 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD) 2013
DOI: 10.1109/sispad.2013.6650632
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Simulation on endurance characteristic of charge trapping memory

Abstract: Fig.1. Schematic of the studied charge trapping device in this work. Fig.2. Mechanisms included to investigate (a) generation of Si/SiO2 interface trapped charge and (b) oxide trapped charge.Abstract-A comprehensive simulation method for endurance reliability issues in charge trapping memory is developed. For this purpose, a practical algorithm is carefully designed to investigate the cycling performance of charge trapping memory. The models that account for the generation of substrate/tunneling oxide interfac… Show more

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Cited by 7 publications
(5 citation statements)
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“…Nevertheless, for the DP-HfO2 CTM device, an overall shift of VFB in the negative direction was observed. Based on previous studies, this is believed to be owing to the generation of a fixed oxide charge inside the unstable Hf-silicate interfacial layer of the DP-HfO2 CTM device by the P/E cycling, overall decreasing the VFB [52]. This shift in VFB can cause a cycling-dependent decrease in the reliability of the device during real-world memory operation and should be maximally suppressed [53].…”
Section: Resultsmentioning
confidence: 98%
“…Nevertheless, for the DP-HfO2 CTM device, an overall shift of VFB in the negative direction was observed. Based on previous studies, this is believed to be owing to the generation of a fixed oxide charge inside the unstable Hf-silicate interfacial layer of the DP-HfO2 CTM device by the P/E cycling, overall decreasing the VFB [52]. This shift in VFB can cause a cycling-dependent decrease in the reliability of the device during real-world memory operation and should be maximally suppressed [53].…”
Section: Resultsmentioning
confidence: 98%
“…Especially, program V th distribution can be distorted by ISPP noise [19], [20], WL-WL interference [22], and RTN effect of tunneling oxide and Poly-Si [23], [24], thus, the electron numbers in the nitride layer for a page memory cells are variable. Figure 4 shows the simulated single cell V th shift with different initial V th 4.5V, 4.7V, and 5.0V, respectively, where a self-consistent simulator (takes into consideration the tunneling processes, charge trapping/de-trapping mechanisms, and drift-diffusion transport within the storage layer) is used to simulate the program, erase, retention, and read operations as calibrated and verified in our previous works [25]- [27]. From the figure we can find that the retention V th distribution width decreases gradually, this is because of larger degradation rate for larger initial electron numbers in nitride layer, just like adding a negative variance noise (σ 2 ENF < 0) to initial program V th distribution.…”
Section: Retention Characteristicsmentioning
confidence: 99%
“…Figure 5plots the ISPP program result of the single memory cell, where a self-consistent simulator is used to simulate the program, erase, retention, and read operations, as verified and calibrated in our previous studies[24][25][26][27]. The figure indicates that the ISPPInitialize Vth of every cell in a block (Gauss distribution, =−3, =0.21) Program WL j ; j=255 Adding ISPP noise (Poisson distribution, related with Vstep and device parameters) No Adding RTN effect (related with P/E cycling and temperature) Flowchart of the array program Vth distribution simulation method of 3-D TLC NAND flash memory.…”
mentioning
confidence: 94%