AMUSICProject ID: 702702
Financé au titre de:
nonlineAr Multimode and mUlticore optical fiberS for multIple appliCations
Détails concernant le projet
Coût total:EUR 195 454,80
Contribution de l'UE:EUR 195 454,80
Coordonné à/au(x)/en:United Kingdom
Appel à propositions:H2020-MSCA-IF-2015See other projects for this call
Régime de financement:MSCA-IF-EF-ST - Standard EF
"Light propagation in multimode (MM) and multicore (MC) optical fibers is rapidly emerging as one of the most exciting topics in optical physics. These fibers are employed in several fields, spanning from telecommunications to spectroscopy and astronomy. In addition, they support a complex nonlinear spatiotemporal dynamics that is the subject of intense research and the understanding of which is far from being complete.
It is in this framework that the project AMUSIC arises: it aims to advance the state-of-art understanding of nonlinear effects in MM and MC fibers and to investigate some promising devices where these effects are exploited in view of important applications in several key-areas.
The first part of the project is dedicated to the development of an optimized numerical platform for the analysis of nonlinear effects in MM and MC fibers.
In the second part we target the investigation and experimental implementation of the following fiber based devices:
1) MM fiber optical parametric amplifiers and oscillators supporting the simultaneous amplification/generation of several modes in an extremely broad and tunable band.
2) High power MC- and MM-doped fiber lasers, where nonlinear effects are exploited to promote phase-synchronization and multimode soliton mode-locking.
AMUSIC is aligned with the key-drivers and focus areas of Horizon-2020 Work program (WP). The project goals will be achieved in the framework of international academic and industrial partnerships (WP key-drivers: "Leverage and boost engagement of industry" and "Supporting strong partnership with Member States"). In addition, the envisaged devices may find application in several fields, among which molecular fingerprinting techniques for personalised detection of disease by breath analysis (WP focus area: "Personalising health and care") and Spatial-Division-Multiplexing schemes for new smart and sustainable digital infrastructures (WP focus area “Smart cities and communities”)"
Contribution de l'UE: EUR 195 454,80
SO17 1BJ SOUTHAMPTON