Objective
SMILED aims to start from state-of-the-art LED efficiency and push forward in a coherent set of directions with three objectives. First, because of the large intrinsic efficiency already possible, is the exploration of issues related to manufacturing MCLEDs and the exploration of technologically relevant wavelengths. We will explore the crucial issues for commercialising microcavity LEDs including packaging of devices, wafer scale processing, reliability, and fibre pigtailing. The aim will be to identify any problems specific to microcavity LED manufacture and to solve these. We will also explore the problems of exporting the microcavity concept to useful wavelengths other than the 900-980 nm range set by the test-bed material InGaAs/GaaAs used in the previous Esprit project SMILES. These wavelengths are 850, 670 and 1300 nm covering LANs, automobile harnesses, etc.
The second objective is to determine how far the planar microcavity concept can be pushed in terms of external quantum and power efficiency, directionality, bandwidth. This will include effects of photon recycling, AlOx mirrors, routes to achieving increased bandwidth, and how MCLEDs should be tailored to fibre coupling.
The final objective is to push beyond the planar approach to reach photon confinement in the other two dimensions by means of lateral cavities through distributed Bragg mirrors and photonic bandgap structures. We will explore parallel routes to achieving lateral photon confinement and will quantify the enhancement that is to be expected in such photonic 'box' LEDs.
The research combines several sets of expertise from growth, fabrication, design, measurement, and industrial assessment. The result will be a fair assessment of the technological feasibility of MCLEDs, the ultimate performance to be expected from simple structures, as well as routes beyond the planar concept.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyenvironmental engineeringwaste managementwaste treatment processesrecycling
- natural sciencesphysical scienceselectromagnetism and electronicssemiconductivity
- natural sciencesphysical sciencestheoretical physicsparticle physicsphotons
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Call for proposal
Data not availableFunding Scheme
EIF - Marie Curie actions-Intra-European FellowshipsCoordinator
Dublin 2
Ireland