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Modeling and simulation-based layout optimization for tolerance to tid effect on n-mosfet

  • Minwoong Lee
  • , Namho Lee
  • , Jongyeol Kim
  • , Younggwan Hwang
  • , Seongik Cho*
  • *Corresponding author for this work
  • Korea Atomic Energy Research Institute
  • Hanyang University

Research output: Contribution to journalJournal articlepeer-review

Abstract

In the present study, the layout structure of an n-MOSFET, which is vulnerable to radiation, was designed in a different way to enhance its tolerance to radiation. Radiation damage assessment was conducted using modeling and simulation (M&S) techniques before actual semiconductor process fabrication and radiation tests to verify its tolerance properties. Based on the M&S techniques, the role of each layer was determined to improve the radiation tolerance of semiconductors, and the layout design of an n-MOSFET with enhanced radiation tolerance was optimized. The optimized radiation-tolerant n-MOSFET design was implemented in the 0.18-um CMOS bulk process, and radiation exposure tests were conducted on the device. A cumulative radiation dose up to 2 Mrad(Si) was applied to verify its radiation-tolerant performance. Developing new devices using M&S techniques for radiation damage assessment allows reliable estimates of their electrical and radiation-tolerant properties to be obtained in advance of the actual manufacturing process, thereby minimizing development costs and time.

Original languageEnglish
Article number887
JournalElectronics (Switzerland)
Volume10
Issue number8
DOIs
StatePublished - 2021.04.2

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • And radiation damage assessment
  • Layout structure
  • Modeling and simulation
  • Radiation tolerance
  • Total cumulative radiation dose

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Engineering - Electrical & Electronic
  • Engineering - Petroleum
  • Data Science

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