Autonomous Materials Discovery for Organic Solar Cells
Achieve fully-closed loop autonomous materials discovery for organic solar cells to realize AI-guided inverse design of OPV molecules that meet the '10-10' target
Organic photovoltaics (OPV) are next-generation devices for harvesting renewable energy that are becomingly increasingly desired over traditional silicon solar cells. The two primary challenges preventing the widespread adoption of OPV relative to silicon-based solar cells are inferior power conversion efficiency and apparent instability to sunlight. Therefore, the main goal of this Thrust is to develop new machine learning tools to guide the discovery of highly efficient and indefinitely stable organic photovoltaics via automated synthesis, manufacture, and testing at the device level.