Impact of Geometry on the TM Photonic Band Gaps of Photonic Crystals and Quasicrystals

Here we demonstrate a novel quantitative procedure to pursue statistical studies on the geometric properties of photonic crystals and photonic quasicrystals (PQCs) which consist of separate dielectric particles. The geometric properties are quantified and correlated to the size of the photonic band...

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Bibliographic Details
Main Authors: Bita, Ion (Author), Thomas, Edwin L. (Contributor), Jia, Lin (Contributor)
Other Authors: Massachusetts Institute of Technology. Institute for Soldier Nanotechnologies (Contributor), Massachusetts Institute of Technology. Department of Materials Science and Engineering (Contributor)
Format: Article
Language:English
Published: American Physical Society (APS), 2012-01-27T18:42:07Z.
Subjects:
Online Access:Get fulltext
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100 1 0 |a Bita, Ion  |e author 
100 1 0 |a Massachusetts Institute of Technology. Institute for Soldier Nanotechnologies  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Department of Materials Science and Engineering  |e contributor 
100 1 0 |a Thomas, Edwin L.  |e contributor 
100 1 0 |a Thomas, Edwin L.  |e contributor 
100 1 0 |a Jia, Lin  |e contributor 
700 1 0 |a Thomas, Edwin L.  |e author 
700 1 0 |a Jia, Lin  |e author 
245 0 0 |a Impact of Geometry on the TM Photonic Band Gaps of Photonic Crystals and Quasicrystals 
260 |b American Physical Society (APS),   |c 2012-01-27T18:42:07Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/68678 
520 |a Here we demonstrate a novel quantitative procedure to pursue statistical studies on the geometric properties of photonic crystals and photonic quasicrystals (PQCs) which consist of separate dielectric particles. The geometric properties are quantified and correlated to the size of the photonic band gap (PBG) for wide permittivity range using three characteristic parameters: shape anisotropy, size distribution, and feature-feature distribution. Our concept brings statistical analysis to the photonic crystal research and offers the possibility to predict the PBG from a morphological analysis. 
520 |a United States. Army Research Office. Institute for Soldier Nanotechnologies (contract W911NF-07-D-0004) 
520 |a National Science Foundation (U.S.) (grant DMR-0804449) 
546 |a en_US 
655 7 |a Article 
773 |t Physical Review Letters