Abstract
Artificial neural networks (ANN) were used to simulate the absorption spectra of PANI/PVS films deposited by the layer-bylayer (LBL) technique with different number of bilayers and doping levels. The PAni/PVS films are used to enhance electrical and optical performance of polymeric electroluminescent devices. In this work one hidden-layer Multilayer Perceptron (MLP) architecture was used. It is shown a comparison between experimental and simulated UV-Vis absorption spectra. This approach is proposed for the determination of thin-film design so as not to overlap the absorption spectra of Pani/PVS films with the device active layer emission spectra in order to enhance the device performance.
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