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Original Articles

Prediction of nematic transition temperatures in thermotropic liquid crystals by a heuristic method

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Pages 1291-1297 | Received 15 Jun 2006, Accepted 15 Jul 2007, Published online: 15 Nov 2007

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Ademola Soyemi, Shubham K. Pandey, Shane A. Vaara & Tibor Szilvási. (2024) Predicting the melting point of liquid crystals with directed message passing neural networks. Liquid Crystals 51:1, pages 78-92.
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Yueying Ren, Yongsheng Zhang & Xiaojun Yao. (2018) QSPRs for estimating nematic transition temperatures of pyridine-containing liquid crystalline compounds. Liquid Crystals 45:2, pages 238-249.
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Yueying Ren, Yongsheng Zhang & Xiaojun Yao. (2017) Prediction of nematic transition temperatures of quinoline-containing liquid crystalline compounds from molecular structure. Liquid Crystals 44:14-15, pages 2337-2347.
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Jelena Antanasijević, Viktor Pocajt, Davor Antanasijević, Nemanja Trišović & Katalin Fodor-Csorba. (2016) Prediction of clearing temperatures of bent-core liquid crystals using decision trees and multivariate adaptive regression splines. Liquid Crystals 43:8, pages 1028-1037.
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Jie Xu, Luoxin Wang, Hui Zhang, Changhai Yi & Weilin Xu. (2010) Accurate quantitative structure–property relationship analysis for prediction of nematic transition temperatures in thermotropic liquid crystals. Molecular Simulation 36:1, pages 26-34.
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Articles from other publishers (1)

Davor Antanasijević, Jelena Antanasijević, Viktor Pocajt & Gordana Ušćumlić. (2016) A GMDH-type neural network with multi-filter feature selection for the prediction of transition temperatures of bent-core liquid crystals. RSC Advances 6:102, pages 99676-99684.
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