Objective
Laser diodes are pivotal for the Internet of Things (IoT), and forthcoming 6G communication by enabling efficient data transmission, low power consumption, and integration into photonic circuits. Perovskite nanocrystals-based LEDs (PeLEDs) offer a promising platform for solution-processable laser diodes with their tunable emission properties and high gain coefficients. The most critical step toward achieving Perovskite laser diodes is the development of high-power efficient PeLEDs capable of operating at the high current densities (j) required for lasing threshold. Despite recent advancements in PeLED efficiency, the key challenge remains: engineering high-power PeLEDs that must overcome the severe Auger recombination and excessive heat generation.
In this HePeQul project, I aim to develop high-power efficient PeLEDs by focusing on three main objectives: (1) developing high-quality PeQDs with suppressed Auger recombination and enhanced photoluminescence (PLQY>90%) by controlling nanocrystal nucleation growth processes and implementing surface modification strategies, (2) optimizing device architectures and transport layers to achieve efficient and balanced charge injection (EQE > 20%), and (3) Integrating advanced thermal management techniques, incorporating current-focusing patterns with pulse-mode driving, to enable PeLEDs to sustain high current densities (j>100 A cm). HePeQul will not only push the boundaries of current PeLED technology but also provide a foundation for next-generation high-performance optoelectronic devices, with potential applications in displays, lighting, and laser technologies. The project will also equip the fellow with interdisciplinary knowledge and skills. Successful implementation of HePeQul will promote the host organization's international competitiveness in PeLED and laser filed. Additionally, the commercialization of newly developed QD materials and PeLED products will contribute to economic growth and job creation in Europe.
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.
- natural sciencescomputer and information sciencesinternetinternet of things
- natural sciencesphysical sciencesopticslaser physics
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Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinator
581 83 Linkoping
Sweden