Yuankai Zhao, Roger J. Mulder, Shadi Houshyar, Tu C. Le

A review on the application of molecular descriptors and machine learning in polymer design

  • Organic Chemistry
  • Polymers and Plastics
  • Biochemistry
  • Bioengineering

Molecular descriptors and machine learning are useful tools for extracting structure–property relationships from large, complex polymer data, and accelerating the design of novel polymers with tailored functionalities.

Need a simple solution for managing your BibTeX entries? Explore CiteDrive!

  • Web-based, modern reference management
  • Collaborate and share with fellow researchers
  • Integration with Overleaf
  • Comprehensive BibTeX/BibLaTeX support
  • Save articles and websites directly from your browser
  • Search for new articles from a database of tens of millions of references
Try out CiteDrive

More from our Archive