Benchmarking nanotechnology for high-performance and low-power logic transistor applications
By R. Chau. IEEE transactions on nanotechnology, 2004
671 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/069963885417b8c146ce3e01fcd980ee72afdb62
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Wei Dang Lu
- Lars Samuelson
- Ping Xie
- Jing Guo
- Mark S. Lundstrom
- Claes Thelander
- Dmitri E. Nikonov
- Lars-Erik Wernersson
In Electrical and Electronic Engineering
- Wei Dang Lu
- Jing Guo
- Ping Xie
- Lars Samuelson
- Dmitri E. Nikonov
- Mark S. Lundstrom
- Youngki Yoon
- Claes Thelander
Citations in the corpus
- High-performance fully depleted silicon nanowire (diameter /spl les/ 5 nm) gate-all-around CMOS devices (2006, background): “conservative normalization could be due to the perimeter of the wire [19]—divide reported current values by π.”
- Scaling Behaviors of Graphene Nanoribbon FETs: A Three-Dimensional Quantum Simulation Study (2007, methodology): “We compute the intrinsic delay as τ = (Qon − Qoff)/Ion, where Qon and Qoff are the total charge in the channel at ON-state and OFF-state, respectively, and Ion is the on-current [15].”
- A Graphene Field-Effect Device (2007, background): “One of the most promising future options to enhance silicon is the introduction of carbon-based electronics [3].”
- Nanowire Transistor Performance Limits and Applications (2008, methodology): “The performance of the Ge/Si nanowire devices have also been compared to planar Si devices using the intrinsic gate delay benchmark [82], τ = CV/I , where C is the gate capacitance, V = Vdd, and I is the on current Ion.”