Polymer Photonics Materials Quantitative Structure - Property Relationship In The Fiber Waveguide Design Applications

As an information carrier, photon possesses higher information capacity and noiseproof feature than electron during the information process of high speed and capacity. Thus photonic technology and photonics materials have been developed rapidly. And photonics polymers have attracted a great deal of attention due to their soft matter characters, molecular tailoring and ease of process. The design and synthesis of photonics polymers with given properties to satisfy the special requirements are the key task of this area.Quantitative structure-property relationship (QSPR) method has become a powerful theoretical tool for estimation of the properties of compounds. The QSPR has been widely used for prediction of various chemical, physical, biochemical, and pharmacological properties of compounds by the use of different statistical methods and various kinds of molecular descriptors. And the QSPR study of photonics polymers can not only develop a method for the prediction of the property of polymers that have not been synthesized, but also can identify and describe important features of molecules that are relevant to variations in molecular properties, thus gain some insight into structural factors affecting molecular properties. Two of the most important problems involved in QSPR are the selection of proper molecular descriptors for the description of molecular structures and the development of QSPR models that correlate the molecular structures with properties.In this dissertation, the QSPR has been applied to predict the properties of the doped nonlinear photonics polymers and materials for the segmented polymer optical fibers were designed based on the results of the QSPR studies. They are described as below:1. A QSPR study was performed to develop the model that relates the structures of 90 nonlinear optical (NLO) chromophores to their thermal decomposition functions (Y_d). The molecular descriptors used to represent molecular structures include topological descriptors, molecular walk counts, connectivity indices,...