Machine learning assisted identification of the matched energy level of materials for high open circuit voltage in binary organic solar cells

The effects of the materials' energy levels on the V oc in binary OSCs are analyzed and the energy level matching strategy of materials for high V oc is delivered by machine learning. Experimental results verify the reliability of this machine learning approach.