Localizing and quantifying the intra-monomer contributions to the glass transition temperature using artificial neural networks

  1. Miccio, L.A.
  2. Schwartz, G.A.
Journal:
Polymer

ISSN: 0032-3861

Year of publication: 2020

Volume: 203

Type: Article

DOI: 10.1016/J.POLYMER.2020.122786 GOOGLE SCHOLAR
Data source: Scopus