Fluid flow in carbon nanotubes and nanopipes.

By Max Whitby, N. Quirke. Nature Nanotechnology, 2007

614 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/df79e4554f15ff835c1317a17c249d388dfc6cf3

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

1. Ahmad Fauzi Ismail
2. Pei Sean Goh
3. Be Cheer Ng
4. Guoqi Zhang
5. D. Mattia
6. Tianling Ren
7. Dongqing Li
8. Yuxiu Li

In Electrical and Electronic Engineering

1. Be Cheer Ng
2. D. Mattia
3. Pei Sean Goh
4. Dongqing Li
5. Yuxiu Li
6. Ahmad Fauzi Ismail
7. Jinliang Xu

In Materials Chemistry

1. Pei Sean Goh
2. Be Cheer Ng
3. D. Mattia
4. Dongqing Li
5. Yuxiu Li
6. Ahmad Fauzi Ismail
7. Francesco Calabrò
8. Jinliang Xu

Citations in the corpus

• A review of small heat pipes for electronics (2016, methodology): “SEM images showing the CNT pipe (a: top left) surface of porous alumina template prior to CVD treatment; (b: top right) template after CVD now covered in a layer of amorphous carbon that has reduced the diameter of the pores; (c: bottom left) cross section through snapped membrane; (d; bottom right)”
• Explaining high flow rate of water in carbon nanotubes via solid–liquid molecular interactions (2012, background): “Experimental results have shown higher than expected water flow rates through carbon nanotubes (CNTs) with enhancements of up to 10,000 times compared to the values calculated using classical continuum fluid mechanics models used at the macroscale (Whitby and Quirke 2007; Mattia and Gogotsi 2008).”
• Carbon nanotubes for desalination: Performance evaluation and current hurdles (2013, background): “To date, a huge number of theoretical CNTs transportation characteristics have been modeled and documented [16,56–59].”
• A Tutorial Review on Fractal Spacetime and Fractional Calculus (2014, neutral): “[36] found that liquid flow through a membrane composed of an array of aligned carbon nanotubes is 4 to 5 orders of magnitude faster than would be predicted from conventional fluid-flow theory, similar phenomena were observed by other researchers [37, 38].”
• Molecular dynamics simulation of nanoscale liquid flows (2010, background): “through nanochannels is of great importance for designing novel molecular devices and has wide applications (Whitesides 2006; Whitby and Quirk 2007; Regan et al. 2004; Service 2006; Holt et al. 2006; Bourlon et al. 2007; Besteman et al. 2003; Ghosh et al. 2003).”