PROJECT TITLE :

Properties of Self-Aligned Short-Channel Graphene Field-Effect Transistors Based on Boron-Nitride-Dielectric Encapsulation and Edge Contacts

ABSTRACT:

We gift the characterization of ballistic graphene field-result transistors (GFETs) with a good oxide thickness of 3.five nm. Graphene channels are absolutely encapsulated among hexagonal boron nitride, and self-aligned contacts are fashioned to the sting of the only-layer graphene. Devices of channel lengths ( all the way down to 67 nm are fabricated, and a virtual-source transport model is employed to model the ensuing current–voltage characteristics. The mobility and supply-injection velocity as a function of yields a mean-free-path, ballistic velocity, and effective mobility of 850 nm, cm/s, and 13 70zero cm2/Vs, respectively, that are among the best velocities and mobilities reported for GFETs. Despite these best-in-category attributes, these devices achieve transconductance ( and output conductance ( of solely 600 and three hundred , respectively, because of the fundamental limitations of graphene’s quantum capacitance and nil-bandgap. values, that are less than those of comparable ballistic silicon devices, profit from the high ballistic velocity in graphene however are degraded by a good gate capacitance reduced by the quantum capacitance. The values, that limit the effective power gain achievable in these devices, are significantly worse than comparable silicon devices- due to the properties of the zero-bandgap graphene channel.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :Rank Properties for Matrices Constructed From Time Differences of Arrival - 2018ABSTRACT:Time Difference of Arrival (TDOA) positioning has been a lively analysis over the years due to its made amounts of applications.
PROJECT TITLE :On the Properties of the Rank-Two Null Space of Nonsparse and Canonical-Sparse Blind Deconvolution - 2018ABSTRACT:Blind deconvolution may be a ubiquitous nonlinear inverse downside in applications like wireless
PROJECT TITLE :Learning Graphs With Monotone Topology Properties and Multiple Connected Components - 2018ABSTRACT:Recent papers have formulated the problem of learning graphs from information as an inverse covariance estimation
PROJECT TITLE : Topological Properties of Secure Wireless Sensor Networks Under the q-Composite Key Pre-distribution Scheme With Unreliable Links - 2017 ABSTRACT: Security is a vital issue in wireless sensor networks (WSNs),
PROJECT TITLE : Full-Reference Quality Assessment of Stereoscopic Images by Learning Binocular Receptive Field Properties - 2015 ABSTRACT: Quality assessment of 3D pictures encounters additional challenges than its 2D counterparts.

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry