Modeling Attempt-to-Escape Frequency: Tunneling Emission of Trapped Electrons in Tunneling Oxides of 3-D NAND Flash Memory

We propose a novel physical model for the attempt-to-escape frequency of trap-to-band electron emission, which is broadly applicable to various trap-to-band scenarios. The model is verified under detrapping mechanisms in bandgap-engineered tunneling oxide (BETOX), enabling accurate prediction of electron emission dynamics within extremely short timeframes. Extensive comparisons between the proposed model and calibrated TCAD simulations demonstrate excellent agreement, validating its accuracy and reliability. Additionally, based on calibrated physical parameters, the model is adaptable to engineering variations such as trap profiles, including intricate combinations of Gaussian trap distributions, making it highly versatile for future device optimization and analysis.

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Publication Details

Journal
IEEE Transactions on Electron Devices
Published
2025-08-26
DOI
https://doi.org/10.1109/ted.2025.3589340
Citations
2
Primary Topic
Semiconductor materials and devices
Type
article
Field-Weighted Citation Impact
1.46
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article

Modeling Attempt-to-Escape Frequency: Tunneling Emission of Trapped Electrons in Tunneling Oxides of 3-D NAND Flash Memory

Hyungcheol Shin, M. Jin
2 citations
IEEE Transactions on Electron Devices
Semiconductor materials and devices
1.46
article

Modeling Attempt-to-Escape Frequency: Tunneling Emission of Trapped Electrons in Tunneling Oxides of 3-D NAND Flash Memory

Hyungcheol Shin, M. Jin
article en
2 citations

Abstract

We propose a novel physical model for the attempt-to-escape frequency of trap-to-band electron emission, which is broadly applicable to various trap-to-band scenarios. The model is verified under detrapping mechanisms in bandgap-engineered tunneling oxide (BETOX), enabling accurate prediction of electron emission dynamics within extremely short timeframes. Extensive comparisons between the proposed model and calibrated TCAD simulations demonstrate excellent agreement, validating its accuracy and reliability. Additionally, based on calibrated physical parameters, the model is adaptable to engineering variations such as trap profiles, including intricate combinations of Gaussian trap distributions, making it highly versatile for future device optimization and analysis.

IEEE Transactions on Electron DevicesVol. 72(9)
Seoul National University (KR)
Openalex Percentile: Top 15%
Semiconductor materials and devices
1.46
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