Close

Search

Search Menu
Photonics Media Photonics Marketplace Photonics Spectra BioPhotonics EuroPhotonics Vision Spectra Photonics Showcase Photonics ProdSpec Photonics Handbook

Machine Learning Predicts How to Develop High-Performing Solar Cells

Facebook Twitter LinkedIn Email Comments
ORLANDO, Fla., Dec. 17, 2019 — To determine the best way to optimize the materials used to build perovskite solar cells, a research team at the University of Central Florida turned to machine learning techniques. The researchers reviewed more than 2000 peer-reviewed publications about perovskites and collected more than 300 data points and then fed these into an artificial intelligence system developed by the team. The system analyzed the information and predicted which recipe for spray-on perovskite solar technology would work best. The machine learning approach considered how to optimize material composition and...Read full article

Related content from Photonics Media



    ARTICLES


    PRODUCTS


    PHOTONICS HANDBOOK ARTICLES


    WHITEPAPERS


    WEBINARS


    PHOTONICS DICTIONARY TERMS


    MEDIA


    PHOTONICS BUYERS' GUIDE CATEGORIES


    COMPANIES

    LATEST HEADLINES
    view all
    PHOTONICS MARKETPLACE
    Search more than 4000 manufacturers and suppliers of photonics products and services worldwide:

    back to top
    Facebook Twitter Instagram LinkedIn YouTube RSS
    ©2021 Photonics Media, 100 West St., Pittsfield, MA, 01201 USA, [email protected]

    Photonics Media, Laurin Publishing
    x We deliver – right to your inbox. Subscribe FREE to our newsletters.
    We use cookies to improve user experience and analyze our website traffic as stated in our Privacy Policy. By using this website, you agree to the use of cookies unless you have disabled them.