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Predicting Ga and Cu Profiles in Co-Evaporated Cu(In,Ga)Se<sub>2</sub> Using Modified Diffusion Equations and a Spreadsheet [electronic resource].

Published
Washington, D.C. : United States. Office of the Assistant Secretary of Energy Efficiency and Renewable Energy, 2017.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
Physical Description
pages 3,169-3,174 : digital, PDF file
Additional Creators
National Renewable Energy Laboratory (U.S.), United States. Office of the Assistant Secretary of Energy Efficiency and Renewable Energy, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
Cu(In,Ga)Se2(CIGS) photovoltaic absorbers frequently develop Ga gradients during growth. These gradients vary as a function of growth recipe, and are important to device performance. Prediction of Ga profiles using classic diffusion equations is not possible because In and Ga atoms occupy the same lattice sites and thus diffuse interdependently, and there is not yet a detailed experimental knowledge of the chemical potential as a function of composition that describes this interaction. Here, we show how diffusion equations can be modified to account for site sharing between In and Ga atoms. The analysis has been implemented in an Excel spreadsheet, and outputs predicted Cu, In, and Ga profiles for entered deposition recipes. A single set of diffusion coefficients and activation energies are chosen, such that simulated elemental profiles track with published data and those from this study. Extent and limits of agreement between elemental profiles predicted from the growth recipes and the spreadsheet tool are demonstrated.
Report Numbers
E 1.99:nrel/ja--5j00-68144
nrel/ja--5j00-68144
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Note
Published through SciTech Connect.
05/15/2017.
"nrel/ja--5j00-68144"
MRS Advances 2 53 ISSN 2059-8521; applab AM
Ingrid L. Repins; Steve Harvey; Karen Bowers; Stephen Glynn; Lorelle M. Mansfield.
Funding Information
AC36-08GO28308
View MARC record | catkey: 24058183