Combined Computational Approach Based on Density Functional Theory and Artificial Neural Networks for Predicting The Solubility Parameters of Fullerenes

AuthID
 P-00K-GNM
11
Author(s)
Langner, S
·
Kontos, J
·
Winkler, F
·
Machui, F
·
Goerling, A
·
Dallos, A
·
Brabec, CJ
Document Type
Article
Year published
2016
Published
in JOURNAL OF PHYSICAL CHEMISTRY B, ISSN: 1520-6106
Volume: 120, Issue: 19, Pages: 4431-4438 (8)
Indexing
Wos®
Scopus®
Crossref®
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-84971268728
Wos: WOS:000376417400012
Source Identifiers
ISSN: 1520-6106
Export Publication Metadata
Marked List
 Add to Marked List
Info
At this moment we don't have any links to full text documens.

A place for researchers and their institutions

Useful Links

Get Help

© 2024 CRACS & Inesc TEC - All Rights Reserved Privacy Policy | Terms of Service