Machine learning for improve LED technology-LEDinside

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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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[News] UNC Improves Fan Experience with 11 Daktronics LED Displays

Delivering a new game-day experience to Tar Heels fans at Kenan Stadium, Daktronics (NASDAQ: DAKT) of Brookings, South Dakota, partnered with the University of North Carolina (UNC) in Chapel Hill to manufacture and install 11 LED displays tota... READ MORE

[News] Sumitomo Chemical to Exhibit Compound Semiconductor Products at PCIM Europe 2026

Sumitomo Chemical is pleased to announce its participation in PCIM Europe 2026, which will be held in Nuremberg, Germany, from Tuesday, June 9 to Thursday, June 11, 2026. Established in 1979, this annual event showcases the latest advancements... READ MORE

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