by Xabier Rodríguez Martínez, Nanostructured Materials for Optoelectronics and Energy Harvesting (NANOPTO) group
Date: Monday, 19 October2020
Time: 10 am
Venue: Online session from the ICMAB Meeting Room.Register here to attend the PhD Thesis defense via Zoom.
Abstract: The optimization of organic solar cells entails the exploration of complex parametric landscapes in which several interrelated features determine the photovoltaic performance. In this thesis, we develop a high-throughput experimental framework based on the generation of lateral parametric gradients to accelerate the screening of organic solar cells. We first introduce Raman imaging as a spectroscopic tool to characterize the heterogeneity of the gradients in combination with photocurrent imaging. Then, we implement advanced solution-processing methods to generate solid-state gradients and demonstrate their potential in the combinatorial screening of binary and ternary organic photovoltaic blends. Finally, we develop a synergic workflow combining high-throughput experimental screening and machine-learning algorithms to predict the photocurrent phase space of organic photovoltaic blends.
Figure: The combinatorial development of organic solar cells explores multiple donor:acceptor material blends in a
high-throughput manner, accelerating the optimization of devices and discovery of new materials. | Xabier Rodríguez Martínez