z-logo
open-access-imgOpen Access
Predicting the Surface Tension of Deep Eutectic Solvents Using Artificial Neural Networks
Author(s) -
Tarek Lemaoui,
Abir Boublia,
Ahmad S. Darwish,
Manawwer Alam,
Sung Min Park,
ByongHun Jeon,
Fawzi Banat,
Yacine Benguerba,
Inas M. AlNashef
Publication year - 2022
Publication title -
acs omega
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 40
ISSN - 2470-1343
DOI - 10.1021/acsomega.2c03458
Subject(s) - surface tension , eutectic system , artificial neural network , computer science , materials science , absolute deviation , artificial intelligence , thermodynamics , mathematics , composite material , physics , statistics , alloy

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here