Researchers at the University of California San Diego (UCSD) and Chonnam National University in Korea have used data mining and computational tools to find a new and inexpensive phosphor material for white light-emitting diodes that yield better color quality than many commercial LEDs.
They discovered the material, Sr2LiAlO4 (SLAO), via a systematic, high-throughput computational approach using supercomputers. With this strategy, the UCSD team found the phosphor in only three months, an accelerated time frame compared to the years of trial-and-error experiments it usually takes to discover a new material.
The calculations leading to the discovery were conducted with the Extreme Science and Engineering Discovery Environment at the San Diego Supercomputer Center.
When a review found a SLAO compound to be nonexistent in any known materials, the researchers used a data-mining algorithm to invent new phosphor candidates with the required elements, and performed first-principles calculations to predict which candidates would perform well as a phosphor.
From Jacobs School of Engineering (UCSD)
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Abstracts Copyright © 2018 Information Inc., Bethesda, Maryland, USA
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