Gain-assisted slow to superluminal group velocity manipulation in nano-waveguides

Physics – Optics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Some changes in the abstract and Fig.1. No results affected

Scientific paper

10.1103/PhysRevLett.97.223902

We study the energy propagation in subwavelength waveguides and demonstrate that the mechanism of material gain, previously suggested for loss compensation, is also a powerful tool to manipulate dispersion and propagation characteristics of electromagnetic pulses at the nanoscale. We show theoretically that the group velocity in lossy nano-waveguides can be controlled from slow to superluminal values by the material gain and waveguide geometry and develop an analytical description of the relevant physics. We utilize the developed formalism to show that gain-assisted dispersion management can be used to control the transition between ``photonic-funnel'' and ``photonic-compressor'' regimes in tapered nano-waveguides. The phenomenon of strong modulation of group velocity in subwavelength structures can be realized in waveguides with different geometries, and is present for both volume and surface-modes.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Gain-assisted slow to superluminal group velocity manipulation in nano-waveguides does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Gain-assisted slow to superluminal group velocity manipulation in nano-waveguides, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Gain-assisted slow to superluminal group velocity manipulation in nano-waveguides will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-247946

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.