Holistic Device Modeling: Toward a Unified MOSFET Model Including Variability, Aging, and Extreme Operating Conditions


Yelten M. B.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, cilt.69, sa.6, ss.2635-2640, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 69 Sayı: 6
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1109/tcsii.2022.3171136
  • Dergi Adı: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.2635-2640
  • Anahtar Kelimeler: Integrated circuit modeling, Transistors, Semiconductor device modeling, Mathematical models, MOSFET, Aging, Data models, Holistic modeling, transistor modeling, process variations, transistor aging, cryogenic temperatures, total ionizing radiation, integrated circuits, SINGLE-EVENT TRANSIENTS, CMOS, RELIABILITY, CIRCUITS, ANALOG, TECHNOLOGY, SIMULATION
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

This tutorial presents the holistic modeling concept in the context of metal-oxide-semiconductor field-effect-transistors (MOSFETs). First, the standard MOSFET modeling approaches will be comparatively discussed. Subsequently, several factors impacting the operation of MOSFETs will be explained in terms of their physical origins and their modeling, as already undertaken in the literature. These factors include process variations, time-based degradation, as well as extreme environmental conditions, such as low or high temperatures and ionizing radiation. Subsequently, the need for considering these phenomena in joint configurations is demonstrated through experimental data. Finally, an implementation strategy for holistic modeling will be proposed by introducing 'extreme corners', which represent the combinations of conventional process corners with the mentioned factors at various values of interest.