Publication date: 15th December 2025
The change in energy paradigm towards sustainable sources implies the large scale deployment of highly efficient solar technologies. Novel technologies are needed for integration into buildings (lightweight, high incidence angle tolerance and neutral color), windows (semitransparency), greenhouses (complementary transmission with plant needs), infrastructure (robustness, integrability), wearables (lightweight, flexibility), indoor photovoltaics (high tolerance to low irradiances) as well as beyond photovoltaic farms (ever increasing efficiency). Organic based photovoltaics are well suited for this huge challenge, as can be produced with the largest color pallet and transparency degree imaginable, as well as tunable flexibility, lightweight, etc. Indeed, there is an infinite number of molecules that can be synthesized to match our needs. The bottleneck, then, becomes how to identify and screen the best potential candidates and device structures for each application.
In this talk, we will show our current strategy to tackle this challenge: combining high throughput material screening methods [1, 2] with a spectrum on demand light source [3]. First, we will briefly describe a novel methodology for the fast evaluation of organic semiconductor systems for photovoltaics based on samples with gradients in the relevant parameters of interest (thickness, microstructure, composition) coupled to hyperspectral imaging. Then, we will present a combinatorial screening consisting of thousands of solar cells, centered on wide bandgap materials for indoor applications, narrow bandgap for agrivoltaic applications and panchromatic absorption for urban photovoltaics.
