Tag: ScienceAsArt

Cover image Polymer International: A machine learning approach for the design of hyperbranched polymeric dispersing agents based on aliphatic polyesters for radiation curable inks

Authors: Danny E.P. Vanpoucke, Marie A.F. Delgove, Jules Stouten, Jurrie Noordijk, Nils De Vos, Kamiel Matthysen, Geert G.P. Deroover, Siamak Mehrkanoon, and Katrien V. Bernaerts
Journal: Polymer International 71(8), i-i (2022)
doi: 10.1002/pi.6434
IF(2015): 3.213
export: bibtex
pdf: <PolymerInt>

Abstract

The cover image is based on the Research Article A machine learning approach for the design of hyperbranched polymeric dispersing agents based on aliphatic polyesters for radiation-curable inks by Danny E.P. Vanpoucke et al., https://doi.org/10.1002/pi.6378.  (The related paper can be found here.)

 

Cover Polymer International: Machine learning on small data sets, application on UV curable inks.

Cover Polymer International: Machine learning on small data sets, application on UV curable inks.

 

Permanent link to this article: https://dannyvanpoucke.be/paper2022_mldannycover-en/