Researchers at the National Research Nuclear University MEPhI have created a unique method to virtually design organic light-emitting diodes.
According to the authors of the study, the new quantum chemistry-based technology will significantly reduce the time it takes to create and market new OLED devices, high-quality displays and light sources. The study’s results were published in The Journal of Physical Chemistry A.
Organic light-emitting diodes (OLEDs) are a promising area of semiconductor nanoelectronics, providing compact, low-cost and highly-efficient light sources and display pixels.
According to MEPhI scientists, the method to select emitting molecules, based on quantum-chemical calculations, will greatly accelerate and facilitate the creation of various third-generation OLEDs, transferring this to the field of computer modelling.
Light emission in OLED occurs due to the phenomenon of recombination: the collision of carriers of opposite charges, electrons and so-called holes, which are molecules or atoms without an electron.
The quantum efficiency of the first-generation OLEDs was under 25%, while with the third-generation OLEDs, which the scientists are currently working on, it’s already possible to use 100% of electron-hole pairs. This is possible due to the use of one of the intra-molecular processes, thermally activated delayed fluorescence (TADF).
It was previously believed that an effective TADF-emitter consists of two parts, the interaction between which should be minimal. However, MEPhI scientists say they have established a number of properties that a material must have in order for its emission to compete effectively with non-emissive processes.
According to MEPhI scientists, the computer screening of materials with clear selection criteria will help to drastically reduce the amount of experimental work and accelerate the discovery and launch of efficient new third-generation OLED emitters.
According to the authors of the study, the quantum chemical method they use requires complex calculations, but the data obtained will make it possible to calibrate and improve the quality of simpler and cheaper methods to study organic semiconductors.
The study was carried out in cooperation with the Photochemistry Centre of the Russian Academy of Sciences as part of Russian Science Foundation grant No. 19-13-00383. The research team is currently developing AI elements that will help process data sets for more efficient screening.
Sourse: sputniknews.com
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