The field of emerging photovoltaics (PV) is experiencing unprecedented progress with remarkable advances in power conversion efficiencies recently reported organic, quantum dot and perovskite based devices. Despite these major breakthroughs, many aspects of device physics of emerging PVs remain unknown. One of the most common aspects of the device, routinely used for device physics interpretation is the energy level diagram (energetic landscape) of the solar cell, with such diagrams being ubiquitous in literature, appearing in almost every publication. Despite the importance of energy level diagrams in determining the elementary processes taking place in the device (e.g. charge generation, transport and extraction), accurately determining these diagrams is extremely challenging, especially for solution-processed systems. Most commonly, these diagrams are constructed by combining energy values for the individual components as obtained by different methods, resulting in a large scatter of reported values even for the same material systems. In addition, this approach neglects to account for interfacial effects such as formation of dipoles or band bending. Consequently, the current approach hinders further advancement in the field of emerging photovoltaics in particular in material design, interfacial engineering and development of novel device architectures.
In this project, we develop a new method that can directly measure the vertical energetic landscape of solution-processed photovoltaic systems. Our methodology is based on UPS depth profiling, made possible by the use of a gas-cluster ion beam that allows essentially damage-free sputtering of semiconducting materials. Our goal is to probe the energetic landscape of emerging photovoltaic (and other optoelectronic) devices and exploit them in order to understand energy losses in photovoltaic devices. Moreover, it is our aim to track the evolution of the energetic landscape throughout the device lifetime in order to gain insights into the mechanisms of its degradation. These results will not only lead to further advances in the efficiency of the devices, but will also allow us to develop suitable mitigation strategies to supress their degradation, leading to better performing, more stable PVs that can be used in industrial applications.