Current-Voltage Modeling of 3D-NAND String Using Genetic Algorithm
This study presents a modeling approach for the current-voltage (I-V) characteristics of 3D-NAND flash memory using the BSIM-CMG (GEOMOD=3) transistor model combined with a genetic algorithm-based parameter optimization technique. Reference data were extracted from technology computer-aided design (TCAD) simulations for structures with one, three, and five word-line (WL) layers, and these data were utilized to optimize the parameters of the BSIM-CMG model. The results demonstrate that the I-V characteristics of 3D-NAND strings with up to 500 layers can be effectively represented, capturing variations in the I-V curves depending on the WL position on both linear and logarithmic scales. Furthermore, the current-voltage characteristics of tapered channel hole structures were successfully modeled. This work provides a robust framework for accurately simulating the electrical behavior of advanced 3D-NAND flash memory devices.
Authors
- Jung-Nam Kim
- J.B. Park
- Suk‐Kang Sung (ORCID: https://orcid.org/0009-0006-6621-4011)
- Gihong Park (ORCID: https://orcid.org/0000-0002-7775-6063)
- Yoon Kim (ORCID: https://orcid.org/0000-0002-4837-8411)
- Garam Kim (ORCID: https://orcid.org/0000-0001-6517-7120)
Publication Details
- Journal
- JSTS Journal of Semiconductor Technology and Science
- Published
- 2025-08-26
- DOI
- https://doi.org/10.5573/jsts.2025.25.4.420
- Citations
- 1
- Primary Topic
- Internet of Things and Social Network Interactions
- Type
- article
- Field-Weighted Citation Impact
- 1.49