Current-Voltage Modeling of 3D-NAND String Using Genetic Algorithm

  • Gihong Park
  • , Jung Nam Kim
  • , Jun Hui Park
  • , Suk Kang Sung
  • , Garam Kim
  • , Yoon Kim

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)420-426
Number of pages7
JournalJournal of Semiconductor Technology and Science
Volume25
Issue number4
DOIs
StatePublished - 2025

Keywords

  • 3D-NAND
  • BSIM-CMG
  • compact modeling
  • genetic algorithm
  • I-V modeling
  • parameter extraction
  • tapered hole

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