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

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.