U
Uygar E. Avci
Researcher at Intel
Publications - 143
Citations - 2375
Uygar E. Avci is an academic researcher from Intel. The author has contributed to research in topics: Transistor & MOSFET. The author has an hindex of 24, co-authored 137 publications receiving 2004 citations. Previous affiliations of Uygar E. Avci include Cornell University & Rafael Advanced Defense Systems.
Papers
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Journal ArticleDOI
Tunnel Field-Effect Transistors: Prospects and Challenges
TL;DR: The tunnel field effect transistor (TFET) is considered a future transistor option due to its steep-slope prospects and the resulting advantages in operating at low supply voltage as mentioned in this paper.
Transistors based on two-dimensional materials for future integrated circuits
Saptarshi Das,Amritanand Sebastian,Eric Pop,Connor J. McClellan,Aaron D. Franklin,Tibor Grasser,Theresia Knobloch,Yury Yu. Illarionov,Yury Yu. Illarionov,Penumatcha Ashish Verma,Joerg Appenzeller,Zhihong Chen,Wenjuan Zhu,Inge Asselberghs,Lain-Jong Li,Uygar E. Avci,Navakanta Bhat,Thomas D. Anthopoulos,Rajendra Singh +18 more
TL;DR: In this paper, the development of 2D field-effect transistors for use in future VLSI technologies is reviewed, and the key performance indicators for aggressively scaled 2D transistors are discussed.
Proceedings Article
Comparison of performance, switching energy and process variations for the TFET and MOSFET in logic
TL;DR: In this article, a detailed circuit assessment of tunneling field effect transistors versus MOSFET operating near device threshold supply voltage, including the consideration of process variations, is reported.
Proceedings ArticleDOI
Heterojunction TFET Scaling and resonant-TFET for steep subthreshold slope at sub-9nm gate-length
Uygar E. Avci,Ian A. Young +1 more
TL;DR: In this paper, the Resonant-TFET was proposed to enable the scaling of tunneling transistors to sub-9nm gate-lengths (Lg) by using a double-gate (DG) and a nanowire (NW) TFET.
Proceedings ArticleDOI
A scaled floating body cell (FBC) memory with high-k+metal gate on thin-silicon and thin-BOX for 16-nm technology node and beyond
TL;DR: A scaled, undoped, thin-BOX, planar FBC technology is demonstrated for the first time, featuring 10-nm BOX, 25-nm SOI, high-k, metal gate, separate back-gate (BG) doping, and raised source-drain epitaxy.