Proceedings of MATSUS Fall 2024 Conference (MATSUSFall24)
DOI: https://doi.org/10.29363/nanoge.matsusfall.2024.241
Publication date: 28th August 2024
Utilizing machine learning in developing perovskite solar cells significantly reduces the need for extensive experimental trials, saving time and resources. This approach enhances the efficiency of perovskite solar cells by enabling the prediction of optimal material combinations and processing conditions based on existing data, leading to improved performance and reduced material usage. This study uses Machine Learning (ML) techniques to optimize the performance of Perovskite Solar Cells (PSCs) by determining the ideal thickness of the electron transport layer and the best coating parameters for high Power Conversion Efficiency (PCE). ML models are trained on extensive experimental data to predict outcomes based on varying electron transport layer thicknesses and coating conditions. A key benefit of this method is its ability to reduce the number of experiments needed to find the optimal parameters in solar cell production. This study utilizes a device configuration of ITO/SnO2/FAMAPbI3/Spiro-OMeTAD/MoO3/Ag. For optimizing the electron transport layer (SnO2) thickness in PSCs, a database was created from a series of experimental studies on coating parameters and environmental conditions. Three ML algorithms, Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and Category Gradient Boosting (CatBoost), were chosen to optimize PCE. Hyperparameter optimization was performed using Bayesian optimization. Root Mean Square Error (RMSE) and Pearson Correlation Coefficient (r) were the metrics used to evaluate the models. The best results were achieved with XGBoost, showing an RMSE of 0.455 and a Pearson coefficient of 0.958. Consequently, the highest PCE obtained from the experimental studies has been increased from 13.2% to 14.26% with an 8% improvement under the predicted conditions.
Thanks to the Presidency of the Republic of Türkiye Strategy and Budget Department for laboratory infrastructure and substances (2016K12-2841).
nanoGe is a prestigious brand of successful science conferences that are developed along the year in different areas of the world since 2009. Our worldwide conferences cover cutting-edge materials topics like perovskite solar cells, photovoltaics, optoelectronics, solar fuel conversion, surface science, catalysis and two-dimensional materials, among many others.
Previously nanoGe Spring Meeting (NSM) and nanoGe Fall Meeting (NFM), MATSUS is a multiple symposia conference focused on a broad set of topics of advanced materials preparation, their fundamental properties, and their applications, in fields such as renewable energy, photovoltaics, lighting, semiconductor quantum dots, 2-D materials synthesis, charge carriers dynamics, microscopy and spectroscopy semiconductors fundamentals, etc.
International Conference on Hybrid and Organic Photovoltaics
International Conference on Hybrid and Organic Photovoltaics (HOPV) is celebrated yearly in May. The main topics are the development, function and modeling of materials and devices for hybrid and organic solar cells. The field is now dominated by perovskite solar cells but also other hybrid technologies, as organic solar cells, quantum dot solar cells, and dye-sensitized solar cells and their integration into devices for photoelectrochemical solar fuel production.
Asia-Pacific International Conference on Perovskite, Organic Photovoltaics and Optoelectronics
The main topics of the Asia-Pacific International Conference on Perovskite, Organic Photovoltaics and Optoelectronics (IPEROP) are discussed every year in Asia-Pacific for gathering the recent advances in the fields of material preparation, modeling and fabrication of perovskite and hybrid and organic materials. Photovoltaic devices are analyzed from fundamental physics and materials properties to a broad set of applications. The conference also covers the developments of perovskite optoelectronics, including light-emitting diodes, lasers, optical devices, nanophotonics, nonlinear optical properties, colloidal nanostructures, photophysics and light-matter coupling.
The International Conference on Perovskite Thin Film Photovoltaics Perovskite Photonics and Optoelectronics (NIPHO) is the best place to hear the latest developments in perovskite solar cells as well as on recent advances in the fields of perovskite light-emitting diodes, lasers, optical devices, nanophotonics, nonlinear optical properties, colloidal nanostructures, photophysics and light-matter coupling.