Combinatorial Approach to Correlations of Properties in Copper Nitride

Andriy Zakutayev, Christopher M. Caskey, Ryan M. Richards, Philip A. Parilla, John D. Perkins, David S. Ginley

Research output: Contribution to conferencePaperpeer-review

2 Scopus Citations


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.

Original languageAmerican English
Number of pages3
StatePublished - 2013
Event39th IEEE Photovoltaic Specialists Conference, PVSC 2013 - Tampa, FL, United States
Duration: 16 Jun 201321 Jun 2013


Conference39th IEEE Photovoltaic Specialists Conference, PVSC 2013
Country/TerritoryUnited States
CityTampa, FL

NREL Publication Number

  • NREL/CP-5200-57905


  • Copper compounds
  • Data handling
  • Nitrogen
  • Solar energy
  • Sputtering
  • Thin films
  • Throughput


Dive into the research topics of 'Combinatorial Approach to Correlations of Properties in Copper Nitride'. Together they form a unique fingerprint.

Cite this