2018-10-23

Find the Most Efficient Phosphors for LED Lighting with New Algorithm

Researchers from the University of Houston have devised a new machine learning algorithm that can identify suitable materials for LED lighting. The new algorithm can be run on a personal computer and predict the properties of more than 100,000 compounds in search of those most likely to be efficient phosphors for LED lighting. The result of the research was published on October 22nd in Nature Communications.
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Stanley Electric Co., Ltd. (Head Office: 2-9-13 Nakameguro, Meguro-ku, Tokyo; President and CEO: Yasuaki Kaizumi) has significantly improved the emission efficiency of its UV-C LEDs at a wavelength of 265nm—widely recognized as the most ... READ MORE

LEDVANCE, one of the world’s leading providers of general lighting, was honoured as the winner in the “Excellence in Business to Consumer Lighting” category at the German Innovation Awards 2026 in Berlin on May 12. Following ... READ MORE