1999
DOI: 10.1021/cm980674x
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Prediction of the Clearing Temperatures of a Series of Liquid Crystals from Molecular Structure

Abstract: A quantitative structure-property relationship (QSPR) investigation was performed to develop a mathematical link between molecular structure and the clearing temperature of a series of structurally related liquid crystals. Molecular structures were encoded by a series of numerical descriptors encoding information regarding size, shape, and the ability to participate in intermolecular interactions. A genetic algorithm feature selection routine was utilized to select high-quality subsets of these descriptors for… Show more

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Cited by 36 publications
(28 citation statements)
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“…From these molecular descriptors, quantitative structure–activity relationships (QSAR)114 can be derived. This has recently been applied for the prediction of clearing temperatures for a number of liquid crystals 115. However, the variation in chemical structure must not be too large and the properties of structures not radically different from those used in the training set, otherwise the properties will probably not be predicted correctly.…”
Section: Tools For the Rational Design Of Liquid Crystalsmentioning
confidence: 99%
“…From these molecular descriptors, quantitative structure–activity relationships (QSAR)114 can be derived. This has recently been applied for the prediction of clearing temperatures for a number of liquid crystals 115. However, the variation in chemical structure must not be too large and the properties of structures not radically different from those used in the training set, otherwise the properties will probably not be predicted correctly.…”
Section: Tools For the Rational Design Of Liquid Crystalsmentioning
confidence: 99%
“…Zusätzlich zu diesen hauptsächlich qualitativen Aspekten ist auch eine Berechnung geometrischer und elektronischer Strukturparameter möglich. [115] Die Unterschiede in der chemischen Struktur dürfen allerdings nicht zu groû sein, und die Eigenschaften von Substanzen, deren Struktur sich drastisch von denen des ¹training setª unterscheidet, lassen sich wahrscheinlich nicht korrekt vorhersagen. Kürzlich wurde dies auf die Vorhersage von Klärtemperaturen einer Reihe von Flüssigkristallen angewendet.…”
Section: Instrumentarium Für Das Rationale Design Von Flüssigkristallenunclassified
“…The foremost example is probably the prediction of the nematic ± isotropic (NI) transition temperature T NI , a crucial element in the design of viable LC display materials that have to exist and operate in a certain temperature range, that is now tackled empirically. [22,23] The task is far from trivial since even small changes of structure can dramatically alter T NI .A classical demonstration is the so called ™odd ± even∫ effect, which corresponds to large alternation in properties and in mesophase transition temperatures, in particular for homologous series containing an n-alkyl chain, as n varies from even to odd. Examples of this effect have been known, in particular from the work of Gray and co-workers [24,25] and in Table 1 we report one such case for phenyl alkyl-4-(4'-cyanobenzylidene)aminocinnamates.…”
mentioning
confidence: 99%