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Films based on crosslinked TEMPO-oxidized cellulose and predictive analysis via machine learning.

Merve Özkan1, Maryam Borghei2, Alp Karakoç2

  • 1Department of Bioproducts and Biosystems, School of Chemical Technology, Aalto University, Espoo, Finland. merve.ozkan@aalto.fi.

Scientific Reports
|March 18, 2018
PubMed
Summary

Researchers optimized polyvinyl alcohol and crosslinker effects on cellulose nanofiber films using machine learning. This enables tailored film properties for flexible electronics with less experimentation.

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