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

Yuankai Zhao, Roger J. Mulder, Shadi Houshyar, Tu C. Le · Polymer Chemistry · 2023

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.

Read the paper · More papers on PaperTik