A QSPR study on the liquid crystallinity of five-ring bent-core molecules using decision trees, MARS and artificial neural networks-Reference-Cited by-同舟云学术

A QSPR study on the liquid crystallinity of five-ring bent-core molecules using decision trees, MARS and artificial neural networks

Published:2016 Issue:22 Volume:6 Page:18452-18464
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Antanasijević Jelena¹²³⁴,Antanasijević Davor¹⁵³⁴,Pocajt Viktor¹²³⁴,Trišović Nemanja¹²³⁴,Fodor-Csorba Katalin⁶⁷⁸⁹

Affiliation:

1. University of Belgrade

2. Faculty of Technology and Metallurgy

3. 11120 Belgrade

4. Serbia

5. Innovation Center of the Faculty of Technology and Metallurgy

6. Wigner Research Centre for Physics

7. Institute for Solid State Physics and Optics of the Hungarian Academy of Sciences

8. H-1525 Budapest

9. Hungary

Abstract

We present an approach for the prediction of liquid crystallinity of five-ring bent-core molecules. Reported classifiers can be also used for the estimation of influence of structural modifications on LC phase formation and its stability.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2016/RA/C5RA20775D

Reference64 articles.

1. Distinct ferroelectric smectic liquid crystals consisting of banana shaped achiral molecules

2. Spontaneous Formation of Macroscopic Chiral Domains in a Fluid Smectic Phase of Achiral Molecules

3. Polar bent-shape liquid crystals – from molecular bend to layer splay and chirality

4. Bent-Core Liquid Crystals: Their Mysterious and Attractive World

5. Silylated bent-core molecules: the influence of the direction of the carboxyl connecting groups on the mesophase behaviour

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