Reassessing fast water transport through carbon nanotubes.

By John A. Thomas, A. McGaughey. Nano letters (Print), 2008

687 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computational Mechanics, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/1a29b1e5686e382167d1c6fbf745994ba0b082bc

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. Chang Q. Sun
2. Ottoleo Kuter-Arnebeck
3. A. McGaughey
4. John A. Thomas
5. Md. Eaqub Ali
6. Seeram Ramakrishna
7. Rasel Das
8. Sharifah Bee Abd Hamid

In Computational Mechanics

1. Chang Q. Sun
2. Ottoleo Kuter-Arnebeck
3. A. McGaughey
4. John A. Thomas

In Materials Chemistry

1. Chang Q. Sun
2. Ottoleo Kuter-Arnebeck
3. John A. Thomas
4. A. McGaughey
5. Md. Eaqub Ali
6. Seeram Ramakrishna
7. Rasel Das
8. Sharifah Bee Abd Hamid

Citations in the corpus

• Thermo-mechanical behavior of low-dimensional systems: The local bond average approach (2009, background): “19a, the rate of the pressure-driven water flow through CNTs is orders high in magnitude, faster than would be predicted from conventional fluid-flow theory [279].”
• Carbon nanotube membranes for water purification: A bright future in water desalination (2014, background): “In general, water does not follow the simple fluidics mechanics [82].”