ABSTRACT:

Replacement of Cu interconnects with carbon nanotubes (CNTs) has been hindered by the high resistance of the CNTs. In this paper, methods for reducing CNT interconnect sheet resistance are presented. Functionalization with electron accepting molecules decreased sheet resistance up to 60%, giving a minimum sheet resistance of ~55 Ω/sq. Alignment of CNTs within the interconnect further reduced resistance. In contrast to nonaligned fabrics, aligned CNT interconnects maintained a constant resistance as CNT line width decreased, demonstrating a path for scaling to smaller technology nodes. In addition, interconnects made with single-walled CNTs consistently showed lower resistance than those with multiwalled CNTs. Finally, a projected RC delay was calculated that demonstrates improved performance below the 45 nm technology node for CNTs compared to Cu. To achieve the desired RC delay improvement, the aspect ratio of the CNT interconnect should be scaled appropriately and combined with an additional reduction in CNT interconnect sheet resistance to 10 Ω/sq, which is feasible based on the functionalization and alignment methods presented here.


Did you like this research project?

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


PROJECT TITLE :Improved Companding Transform for PAPR Reduction in ACO-OFDM-Based VLC Systems - 2018ABSTRACT:In this letter, an improved linear nonsymmetrical transform (ILNST) is proposed to scale back the height-to-average power
PROJECT TITLE :Distributed Caching Enabled Peak Traffic Reduction in Ultra-Dense IoT Networks - 2018ABSTRACT:The proliferation of large machine-type communications devices and their random and intermittent transmissions have brought
PROJECT TITLE :A Lattice Basis Reduction Approach for the Design of Finite Wordlength FIR Filters - 2018ABSTRACT:Many applications of finite impulse response (FIR) digital filters impose strict format constraints on the filter
PROJECT TITLE :A Holistic Approach for Distributed Dimensionality Reduction of Big Data - 2018ABSTRACT:With the exponential growth of knowledge volume, huge information have placed an unprecedented burden on current computing
PROJECT TITLE :Redundancy Reduction for Prevalent Co-Location Patterns - 2018ABSTRACT:Spatial co-location pattern mining is an interesting and vital task in spatial knowledge mining which discovers the subsets of spatial features

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

Project Enquiry