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    Extreme localization of rare events on photonic chips

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    Type
    Conference Paper
    Authors
    Liu, C.
    van der Wel, R.
    Rotenberg, N.
    Kuipers, L.
    Krauss, T. F.
    Di Falco, A.
    Fratalocchi, Andrea cc
    KAUST Department
    PRIMALIGHT, Electrical Engineering, Applied Mathematics and Computational Science, Kaust, Thuwal, 23955-6900, Saudi Arabia
    Electrical Engineering Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2019-01-01
    Permanent link to this record
    http://hdl.handle.net/10754/666438
    
    Metadata
    Show full item record
    Abstract
    Extreme localization of waves, either spatial or temporal, has been the subject of great interest in science. Research in metamaterials and plasmonics provides an opportunity to achieve strong electromagnetic confinement into sub-wavelength volumes, achieved by the use of complex fabrication processes, sophisticated experimental apparatus and/or elaborate wavefront reshaping techniques. On the other hand, extreme localization of energy naturally arises in rare events such as hurricanes, rogue waves, tornado and tsunami with probabilistic character. If these events can be brought to a controlled environment, their unique properties can be harnessed for an extreme spatio-temporal localization of light. Among different rare phenomena, rogue waves appear very interesting for this problem. Rogue waves are isolated events in wave motion that are characterized by the appearance of localized waveforms with exceptional amplitude, which appear at once and disappear in a probabilistic fashion .
    Publisher
    Optical Society of America (OSA)info@osa.org
    Conference/Event name
    2015 European Conference on Lasers and Electro-Optics - European Quantum Electronics Conference, CLEO/Europe-EQEC 2015
    ISBN
    9781467374750
    Additional Links
    https://www.osapublishing.org/abstract.cfm?uri=cleo_europe-2015-CD_P_5
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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