Abstract presented in NanoTR 15 Conference

An Automated Design Framework for UV-AR Optical Filters

Zeynep ARSLANTURK1, Alperen SEZGIN2, Osman SAYGINER3,4

1Yildiz Technical University, Turkey

2Sisecam Turkey, Turkey

3Department of Civil, Environment and Mechanical, Engineering, University of Trento, Italy

4 IFN – CNR CSMFO Laboratory, FBK Photonics Unit, Via alla Cascata 56/C Povo, 38123 Trento, Italy, 

Thin film optical filters are key components in optical, electrical and architectural applications. Thanks to their simple and flexible structures, these filters increase their popularity in numerous areas such as monitoring, sensing, communication etc. An optical filter consists of ordered dielectric material layers in the nano-micrometre thickness. Combination of these different layers can bring many superior properties which cannot be achieved with a single material, for instance, quarter-wave stack optical filters are widely used to block light at particular wavelengths. For this reason, the design of thin film structures plays an important role in research activities as well as product development.
In this study, we propose an automated design framework for UV-AR Optical Filters. The optical response of the filters is modeled and simulated using the Transfer Matrix Method. After that, the simulation model is coupled with the genetic algorithm which is a meta-heuristic optimization approach. The design objectives aim at to lower transmission spectra through the ultraviolet region while distributing equal transmission rates through the visible optical region in order to show realistic colors for architectural purposes. In order to achieve this goal, independently distributed material layers are considered for the initial design. Moreover, fabrication constraints are a defined in collaboration with Sisecam Turkey and limitations are taken into account through the design framework.

This project is being supported by The Scientific And Technological Research Council of Turkey (TUBITAK) 2209-B Industrial Research Funding Program for Undergraduate Students 2019/1

Keywords: Thin Film Optical Filters, Transfer Matrix Method, Genetic Algorithm, UV-AR Optical Filters