Geometry optimization method versus predictive ability in QSPR modeling for ionic liquids

Title
Geometry optimization method versus predictive ability in QSPR modeling for ionic liquids
Authors
Keywords
QSPR, Geometry optimization, Ionic liquids, DFT, PM7
Journal
JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN
Volume 30, Issue 2, Pages 165-176
Publisher
Springer Nature
Online
2016-02-01
DOI
10.1007/s10822-016-9894-3

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started