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

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

ISSN: 0032-3861

Année de publication: 2020

Volumen: 203

Type: Article

DOI: 10.1016/J.POLYMER.2020.122786 GOOGLE SCHOLAR
La source de données: Scopus