Combinatorial approach to correlations of properties in copper nitride

Copper nitride (Cu₃N) is a potential next-generation Earth abundant thin film solar cell absorber material. We performed reduction of Cu₃N combinatorial optical and structural vector data to scalar metrics, and subsequent correlation of these metrics with other scalar quantities, such as isotropic bulk electrical conductivity or target-substrate distance during the growth. Insensitivity of the Cu₃N conductivity to the structural and optical metrics is promising for large-scale fabrication of thin film solar cells where precise process control over the growth parameters may be challenging.