Skip to content
Free planNo credit card requiredStart writing

article · 2018

Addressing and Manipulation of Localized Structures in Passively Mode-Locked Semiconductor Lasers

P. Camelin, M. Marconi, S. Balle, J. Javaloyes, M. Giudici

Cited by 0Abstract and details only

Abstract

Temporal Localized Structures are short pulses travelling back and forth in a nonlinear cavity which can be individually addressed and manipulated. Hence, they can be used as fundamental information bits, thus enabling data buffering and processing. They can also be used for generating arbitrary patterns of picosecond laser pulses at arbitrary low rate. In this contribution we review the results obtained in Vertical Cavity Surface-Emitting Lasers coupled to an external Saturable Absorber Mirror.

Cite this paper

APA 7

Camelin, P., Marconi, M., Balle, S., Javaloyes, J., & Giudici, M. (2018). Addressing and Manipulation of Localized Structures in Passively Mode-Locked Semiconductor Lasers. https://doi.org/10.1109/lo.2018.8435772

MLA 9

Camelin, P., et al. “Addressing and Manipulation of Localized Structures in Passively Mode-Locked Semiconductor Lasers.” 2018, p. 121, https://doi.org/10.1109/lo.2018.8435772.

Chicago

Camelin, P., M. Marconi, S. Balle, J. Javaloyes, and M. Giudici. 2018. “Addressing and Manipulation of Localized Structures in Passively Mode-Locked Semiconductor Lasers.” https://doi.org/10.1109/lo.2018.8435772.

Harvard

Camelin, P. et al. (2018) ‘Addressing and Manipulation of Localized Structures in Passively Mode-Locked Semiconductor Lasers’. Available at: https://doi.org/10.1109/lo.2018.8435772.

BibTeX
@article{camelin2018addressing,
  title = {{Addressing and Manipulation of Localized Structures in Passively Mode-Locked Semiconductor Lasers}},
  author = {Camelin, P. and Marconi, M. and Balle, S. and Javaloyes, J. and Giudici, M.},
  pages = {121},
  year = {2018},
  doi = {10.1109/lo.2018.8435772}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.