TAiloring highly efficieNt and Greener perOvskite solar cells based on solubility predictive modeling (TANGO)

• Applicant: Professorin Dr. Yana Vaynzof
• Subject Area: Experimental Condensed Matter Physics ; Physical Chemistry of Solids and Surfaces, Material Characterisation
• Term: since 2025
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 543965669

The TANGO project represents a significant leap in the realm of perovskite solar cell (PSC) fabrication, introducing a predictive model that integrates Hansen Solubility Parameters (HSPs) with Density Functional Theory (DFT). This innovative approach aims to revolutionize solvent-antisolvent selection, a critical aspect influencing PSC performance, stability, and environmental impact. Departing from the unpredictable one-step method, TANGO advocates for solvent-engineering, enhancing film quality, morphology, and overall device stability by strategically introducing antisolvents during the spinning process. Traditional solvent selection methods, marked by limitations and a lack of standardization, prompted TANGO to propose a novel, theoretical model. This predictive model seeks to systematically identify solvent-antisolvent combinations conducive to both high PSC performance and minimal environmental impact. The pressing environmental concerns associated with solvent usage in perovskite solar cell fabrication highlight the need for a more sustainable approach, aligning efficiency with environmental responsibility. The collaborative efforts of IFW and UNS-CONICET, combining Prof. Dr. Yana Vaynzof's solar cell manufacturing expertise and Prof. Dr. Ignacio López-Corral's proficiency in computational chemistry, underscore the ambitious goals of TANGO. The successful validation of the predictive model holds the promise of assisting in a new era of highly efficient and environmentally friendly PSCs, contributing significantly to the global transition towards sustainable energy solutions.

• DFG Programme: Research Grants
• International Connection: Argentina
• Partner Organisation: Consejo Nacional de Investigaciones Científicas y Técnicas
• Cooperation Partner: Professor Ignacio López-Corral, Ph.D.