OLED lighting holds the promise of entering the annual global lighting-fixture market that is estimated between $US 50-90 billion. OLED technology provide an environmentally friendly technology that requires no mercury and can enable energy savings up to 90 % (per lamp socket). Global transition to such efficient lighting sources will dramatically reduce energy.
Since the onset of the solid state lighting initiative towards the end of last century, the advance in OLED technology has been accelerated by a world-wide investment in material science, process technology, and infrastructure. The technological hurdles are still challenging and numerous, and achieving the target efficiency, colour, colour rendering and lifetime has only partly been accomplished. In the last decade, progress in raising OLED efficiency has stagnated and advanced optical techniques proved to be essential in order to meet the annually growing performance targets. Interest in modelling tools capable of simulating material properties and devices becomes more and more important in order to overcome the remaining fundamental challenges and to accelerate research and development.
The overall goal of IM3OLED is the development, evaluation and validation of a predictive multi-scale and multi-disciplinary modelling tool that will accelerate research and development of organic light-emitting diodes for lighting applications.
IM3OLED aims to strengthen the leading position of the European OLED Industry by enabling a higher integration level of predictive computational methodologies that accelerate research and development of OLED Lighting technology. Furthermore, accelerated R&D enables an earlier market introduction of OLED Lighting technology in Europe which will create long-term European manufacturing jobs due to the high degree of technical novelty and required specialization.
Field of science
- /social sciences/economics and business/business and management/commerce
- /natural sciences/chemical sciences/inorganic chemistry/inorganic compounds
- /natural sciences/computer and information sciences/artificial intelligence/computational intelligence
Call for proposal
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Funding SchemeCP-FP - Small or medium-scale focused research project