Improvement of the UV light sensors modeling numerical platform performances

UV Light sensors are among the most widely used photodetectors in many fields. The development of this type of photodiodes has been the interest of researchers in the field of modern optoelectronics. In this context, we propose some improvements on the Lambert W based platform for the extraction of the electrical parameters of traditional and innovative ZnO NRs based photodiodes. The lambert method allowed us to solve the nonlinear equation that relates the current to the voltage, while the enhanced Nelder Mead algorithm and the RMSE function are iterative calculation and optimization methods respectively. The improvements were done in order to reach much smaller errors, keeping the theoretical model as close as possible to the I-V characteristic of the studied sensors. The method was applied for Zinc Oxide nanorods ZnO NRs and for the PPV-C6/ZnO NRs based heterojunctions as UV light sensors under illumination which have been studied by our team very recently. Thanks to the proposed improvements, the enhanced platform showed lower margin of error (RMSE~10-7) which results in more accurate parameters, with a less calculation time.