Proceedings of MATSUS Spring 2024 Conference (MATSUS24)
DOI: https://doi.org/10.29363/nanoge.matsus.2024.279
Publication date: 18th December 2023
Narrow bandgap non-fullerene acceptors (NFAs) offer the semitransparency feature that makes organic photovoltaic (OPV) technology attractive for application in niche markets, such as building-integrated photovoltaic and agrivoltaics. However, evaluating each photoactive material system following classical experimentation methodologies and advancing it towards mass production presents a complex multiparametric challenge that requires intensive time and resources. In this talk, we propose the use of high-throughput lateral gradient methodology to evaluate the photovoltaic potential and semitransparency of narrow bandgap material systems. More than two thousand devices with different narrow bandgap material systems were manufactured using a platform that combines doctor blade coating technique with controllable velocity profiles to create thickness gradients of photoactive layer. As a result, the power conversion efficiency of the blade-coated devices varied between 0.06 to 10.45% in the champion devices of the screened material system. The large data pool collected for all samples was employed to perform statistical analysis to reveal the most influential parameters for narrow bandgap devices. We have found that the electronic descriptors (i.e. electron affinity, ionization energy, and optical band gap) had a more prominent impact on the final device performance than the processing conditions. Finally, we have shown the potential application of each narrow bandgap blend system for semitransparent devices by calculating its average visible transmittance as a function of photoactive layer thickness. Our study paves the way for high-throughput experimentation to accelerate the mass production and materials screening of narrow bandgap OPVs for semitransparent photovoltaic applications.
This work was supported by the Spanish “Ministerio de Ciencia e Innovación (MICINN)” in the framework of the Spanish R&D program AEI/FEDER(UE) “Generación de Conocimiento 2021” under grants number PID2021-128924OB-I00 (ISOSCELLES).
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