Treffer: Challenges and Opportunities in Machine Learning for Light-Emitting Polymers.

Challenges and Opportunities in Machine Learning for Light-Emitting Polymers.

Tian T; Department of Chemical and Materials Engineering, University of Alberta, Edmonton AB, Canada.; Alberta Machine Intelligence Institute (Amii), Edmonton AB, Canada., Bao Y; Department of Chemistry, University of Helsinki, Helsinki, Finland.; Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland.

Macromolecular rapid communications [Macromol Rapid Commun] 2026 Jan 06, pp. e00850. Date of Electronic Publication: 2026 Jan 06.

Ahead of Print

Journal Article

English

Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 9888239 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1521-3927 (Electronic) Linking ISSN: 10221336 NLM ISO Abbreviation: Macromol Rapid Commun Subsets: MEDLINE

Publication: 2002- : Weinheim, Germany : Wiley-VCH
Original Publication: Basel ; Oxford, CT : Hüthig & Wepf, c1994-

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University of Alberta; Helsingin Yliopisto; 190313 Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; 1-005137 Fondation Claude et Giuliana

Keywords: OLED; data‐driven methods; light‐emitting polymers; machine learning; thermally activated delayed fluorescence

Date Created: 20260106 Latest Revision: 20260106

20260107

10.1002/marc.202500850

41493401

MEDLINE