From chemical structure to quantitative polymer properties prediction through convolutional neural networks

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

ISSN: 0032-3861

Année de publication: 2020

Volumen: 193

Type: Article

DOI: 10.1016/J.POLYMER.2020.122341 GOOGLE SCHOLAR

Objectifs de Développement Durable

La source de données: Scopus