Photovoltaics Informatics: Harnessing Energy Science via Data-Driven Approaches

Changwon Suh, Kristin Munch, David Biagioni, Stephen Glynn, John Scharf, Miguel A. Contreras, John D. Perkins, Brent P. Nelson, Wesley B. Jones

Research output: Contribution to conferencePaperpeer-review

2 Scopus Citations


We discuss our current research focus on photovoltaic (PV) informatics, which is dedicated to functionality enhancement of solar materials through data management and data mining-aided, integrated computational materials engineering (ICME) for rapid screening and identification of multi-scale processing/structure/property/performance relationships. Our current PV informatics research ranges from transparent conducting oxides (TCO) to solar absorber materials. As a test bed, we report on examples of our current data management system for PV research and advanced data mining to improve the performance of solar cells such as CuInxGa1-xSe 2 (CIGS) aiming at low-cost and high-rate processes. For the PV data management, we show recent developments of a strategy for data modeling, collection and aggregation methods, and construction of data interfaces, which enable proper archiving and data handling for data mining. For scientific data mining, the value of high-dimensional visualizations and non-linear dimensionality reduction is demonstrated to quantitatively assess how process conditions or properties are interconnected in the context of the development of Al-doped ZnO (AZO) thin films as the TCO layers for CIGS devices. Such relationships between processing and property of TCOs lead to optimal process design toward enhanced performance of CIGS cells/devices.

Original languageAmerican English
Number of pages11
StatePublished - 2012
Event2011 MRS Fall Meeting - Boston, MA, United States
Duration: 28 Nov 20112 Dec 2011


Conference2011 MRS Fall Meeting
Country/TerritoryUnited States
CityBoston, MA

NREL Publication Number

  • NREL/CP-2C00-53444


  • ICME
  • photovoltaic informatics
  • solar


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