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Mahmood et al., 2022 - Google Patents

Machine learning for organic photovoltaic polymers: a minireview

Mahmood et al., 2022

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Document ID
12882355967824149184
Author
Mahmood A
Irfan A
Wang J
Publication year
Publication venue
Chinese Journal of Polymer Science

External Links

Snippet

Abstract Machine learning is a powerful tool that can provide a way to revolutionize the material science. Its use for the designing and screening of materials for polymer solar cells is also increasing. Search of efficient polymeric materials for solar cells is really difficult task …
Continue reading at www.cjps.org (PDF) (other versions)

Classifications

    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/54—Material technologies
    • Y02E10/549—Material technologies organic PV cells

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