3 years ago

Prediction of supercritical carbon dioxide solubility in polymers based on hybrid artificial intelligence method integrated with the diffusion theory

Prediction of supercritical carbon dioxide solubility in polymers based on hybrid artificial intelligence method integrated with the diffusion theory
Chen Bingsheng, Huang Xingyuan, Guan Lixin, Liu Hesheng, Li Mengshan, Wu Yan, Liu Liang
A solubility prediction model based on a hybrid artificial intelligence method integrated with diffusion theory is proposed.

Publisher URL: http://feeds.rsc.org/~r/rss/ra/~3/Dg7nouV4DH8/C7RA09531G

DOI: 2017/RA/C7RA09531G

You might also like
Never Miss Important Research

Researcher is an app designed by academics, for academics. Create a personalised feed in two minutes.
Choose from over 15,000 academics journals covering ten research areas then let Researcher deliver you papers tailored to your interests each day.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.