TMM$-$Sim: A Versatile Tool for Optical Simulation of Thin$-$Film Solar Cells
Abstract
The Transfer Matrix Method (TMM) has become a prominent tool for the optical simulation of thinfilm solar cells, particularly among researchers specializing in organic semiconductors and perovskite materials. As the commercial viability of these solar cells continues to advance, driven by rapid developments in materials and production processes, the importance of optical simulation has grown significantly. By leveraging optical simulation, researchers can gain profound insights into photovoltaic phenomena, empowering the implementation of device optimization strategies to achieve enhanced performance. However, existing TMMbased packages exhibit limitations, such as requiring programming expertise, licensing fees, or lack of support for bilayer device simulation. In response to these gaps and challenges, we present the TMM Simulator (TMMSim), an intuitive and userfriendly tool to calculate essential photovoltaic parameters, including the optical electric field profile, exciton generation profile, fraction of light absorbed per layer, photocurrent, external quantum efficiency, internal quantum efficiency, and parasitic losses. An additional advantage of TMMSim lies in its capacity to generate outcomes suitable as input parameters for electrooptical device simulations. In this work, we offer a comprehensive guide, outlining a stepbystep process to use TMMSim, and provide a thorough analysis of the results. TMMSim is freely available, accessible through our web server (nanocalc.org), or downloadable from the TMMSim repository (for \textit{Unix}, \textit{Windows}, and \textit{macOS}) on \textit{GitHub}. With its userfriendly interface and powerful capabilities, TMMSim aims to facilitate and accelerate research in thinfilm solar cells, fostering advancements in renewable energy technologies.
Keywords
Cite
@article{arxiv.2404.12191,
title = {TMM$-$Sim: A Versatile Tool for Optical Simulation of Thin$-$Film Solar Cells},
author = {Leandro Benatto and Omar Mesquita and Kaike R. M. Pachecoand Lucimara S. Roman and Marlus Koehler and Rodrigo B. Capaz and Graziâni Candiotto},
journal= {arXiv preprint arXiv:2404.12191},
year = {2024}
}
Comments
9 pages, 8 figures