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] ams OSRAM Showcases Blue Laser Innovations at Laser World of Photonics China 2026

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[News] EVIYOS HD25 Sets New Standards in Compact Vehicle Safety and Communication

The introduction of the new Audi Q3 marks significant technological progress in how digital lighting systems are integrated into the Audi compact segment. EVIYOS HD25 is an advanced, pixel-based lighting solution developed by ams OSRAM. It is ... READ MORE

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