Mehdi Ghorbanzad’e

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Quantitative structure–property relationship models for the prediction of the nematic transition temperature (T N) were developed by using multilinear regression analysis and a feedforward artificial neural network (ANN). A collection of 42 thermotropic liquid crystals was chosen as the data set. The data set was divided into three sets: for training, and(More)
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