Literature DB >> 24721979

Vacuum filtration based formation of liquid crystal films of semiconducting carbon nanotubes and high performance transistor devices.

Benjamin King1, Balaji Panchapakesan.   

Abstract

In this paper, we report ultra-thin liquid crystal films of semiconducting carbon nanotubes using a simple vacuum filtration process. Vacuum filtration of nanotubes in aqueous surfactant solution formed nematic domains on the filter membrane surface and exhibited local ordering. A 2D fast Fourier transform was used to calculate the order parameters from scanning electron microscopy images. The order parameter was observed to be sensitive to the filtration time demonstrating different regions of transformation namely nucleation of nematic domains, nanotube accumulation and large domain growth.Transmittance versus sheet resistance measurements of such films resulted in optical to dc conductivity of σ(opt)/σ(dc) = 9.01 indicative of purely semiconducting nanotube liquid crystal network.Thin films of nanotube liquid crystals with order parameters ranging from S = 0.1-0.5 were patterned into conducting channels of transistor devices which showed high I(on)/I(off) ratios from 10-19,800 and electron mobility values μ(e) = 0.3-78.8 cm(2) (V-s)(-1), hole mobility values μ(h) = 0.4-287 cm(2) (V-s)(-1). High I on/I off ratios were observed at low order parameters and film mass. A Schottky barrier transistor model is consistent with the observed transistor characteristics. Electron and hole mobilities were seen to increase with order parameters and carbon nanotube mass fractions. A fundamental tradeoff between decreasing on/off ratio and increasing mobility with increasing nanotube film mass and order parameter is therefore concluded. Increase in order parameters of nanotubes liquid crystals improved the electronic transport properties as witnessed by the increase in σ(dc)/σ(opt) values on macroscopic films and high mobilities in microscopic transistors. Liquid crystal networks of semiconducting nanotubes as demonstrated here are simple to fabricate, transparent, scalable and could find wide ranging device applications.

Entities:  

Year:  2014        PMID: 24721979     DOI: 10.1088/0957-4484/25/17/175201

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  6 in total

1.  Label-free capture of breast cancer cells spiked in buffy coats using carbon nanotube antibody micro-arrays.

Authors:  Farhad Khosravi; Patrick Trainor; Shesh N Rai; Goetz Kloecker; Eric Wickstrom; Balaji Panchapakesan
Journal:  Nanotechnology       Date:  2016-02-22       Impact factor: 3.874

2.  Static micro-array isolation, dynamic time series classification, capture and enumeration of spiked breast cancer cells in blood: the nanotube-CTC chip.

Authors:  Farhad Khosravi; Patrick J Trainor; Christopher Lambert; Goetz Kloecker; Eric Wickstrom; Shesh N Rai; Balaji Panchapakesan
Journal:  Nanotechnology       Date:  2016-09-29       Impact factor: 3.874

3.  Ultrasensitive Label-Free Sensing of IL-6 Based on PASE Functionalized Carbon Nanotube Micro-Arrays with RNA-Aptamers as Molecular Recognition Elements.

Authors:  Farhad Khosravi; Seyed Masoud Loeian; Balaji Panchapakesan
Journal:  Biosensors (Basel)       Date:  2017-04-17

Review 4.  Engineering of oriented carbon nanotubes in composite materials.

Authors:  Razieh Beigmoradi; Abdolreza Samimi; Davod Mohebbi-Kalhori
Journal:  Beilstein J Nanotechnol       Date:  2018-02-05       Impact factor: 3.649

5.  Pt-, Rh-, Ru-, and Cu-Single-Wall Carbon Nanotubes Are Exceptional Candidates for Design of Anti-Viral Surfaces: A Theoretical Study.

Authors:  Aref Aasi; Sadegh M Aghaei; Matthew D Moore; Balaji Panchapakesan
Journal:  Int J Mol Sci       Date:  2020-07-23       Impact factor: 5.923

6.  Aligned 2D carbon nanotube liquid crystals for wafer-scale electronics.

Authors:  Katherine R Jinkins; Sean M Foradori; Vivek Saraswat; Robert M Jacobberger; Jonathan H Dwyer; Padma Gopalan; Arganthaël Berson; Michael S Arnold
Journal:  Sci Adv       Date:  2021-09-08       Impact factor: 14.136

  6 in total

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