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Title: Optimization of self-assembled carbon nanotube array with Langmuir-Blodgett technique
Authors: Muhammad Za'im Zamzam
Keywords: Engineering::Electrical and electronic engineering::Semiconductors
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Muhammad Za'im Zamzam (2022). Optimization of self-assembled carbon nanotube array with Langmuir-Blodgett technique. Final Year Project (FYP), Nanyang Technological University, Singapore.
Project: A2283-211
Abstract: Carbon Nanotubes (CNTs) are of tubular structures made of a graphene sheet with a diameter from 1nm up to a few tens of nanometers. Only from the architecture, a CNT can be regarded as a sheet of graphene rolled up along a crystalline orientation. CNTs can be aligned to form arrays for electronic applications, such as the channel material for field-effect transistors (FETs), etc. Compared to CNTs network channels, the aligned CNT array channel can offer outstanding on-state current and driving capacity for FETs due to the significant reduction of inter-tube junctions. Among the self-assembly methods for CNT alignment, the Langmuir-Blodgett (LB) technique has been shown to be successful in producing highly packed aligned CNT arrays. However, there are insufficient studies on the optimization of the parameters and procedures of the LB technique leads to fabrication of highly packed aligned CNT arrays. Therefore, this project aims to investigate the influences of several parameters (e.g, compression/expansion cycles, barrier speed, dipping speed, etc.) on CNT alignment using the LB technique.
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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