Low density carbon nanotube forest as an index-matched and near perfect absorption coating

Haofei Shi; Jong G. Ok; Hyoung Won Baac; L. Jay Guo

doi:10.1063/1.3663873

Low density carbon nanotube forest as an index-matched and near perfect absorption coating

Haofei Shi, Jong G. Ok, Hyoung Won Baac, L. Jay Guo

Dept. of Mechanical & Automotive Engineering

University of Michigan, Ann Arbor

Research output: Contribution to journal › Article › peer-review

100 Scopus citations

Abstract

We demonstrate broadband, near perfect absorption with a conformal coating of a multi-walled carbon nanotube (CNT) forest on an arbitrarily shaped surface. The complex refractive index of such a CNT forest is retrieved from the measured transmission and reflection spectra using Kramers-Kronig constrained variational analysis, which gives a typical value of n_eff 1.04 0.01i at visible wavelengths. Therefore, when used as a conformal coating on an object, a thick layer of the CNT forest can provide an excellent impedance match to air and near perfect absorption, preventing any detectable light reflection and scattering from the object.

Original language	English
Article number	211103
Journal	Applied Physics Letters
Volume	99
Issue number	21
DOIs	https://doi.org/10.1063/1.3663873
State	Published - 21 Nov 2011

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AB - We demonstrate broadband, near perfect absorption with a conformal coating of a multi-walled carbon nanotube (CNT) forest on an arbitrarily shaped surface. The complex refractive index of such a CNT forest is retrieved from the measured transmission and reflection spectra using Kramers-Kronig constrained variational analysis, which gives a typical value of neff 1.04 0.01i at visible wavelengths. Therefore, when used as a conformal coating on an object, a thick layer of the CNT forest can provide an excellent impedance match to air and near perfect absorption, preventing any detectable light reflection and scattering from the object.

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Low density carbon nanotube forest as an index-matched and near perfect absorption coating

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