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Title: A stochastic model of solid state thin film deposition: Application to chalcopyrite growth

Journal Article · · AIP Advances
DOI:https://doi.org/10.1063/1.4948404· OSTI ID:1249956

Developing high fidelity quantitative models of solid state reaction systems can be challenging, especially in deposition systems where, in addition to the multiple competing processes occurring simultaneously, the solid interacts with its atmosphere. Here, we develop a model for the growth of a thin solid film where species from the atmosphere adsorb, diffuse, and react with the film. The model is mesoscale and describes an entire film with thickness on the order of microns. Because it is stochastic, the model allows us to examine inhomogeneities and agglomerations that would be impossible to characterize with deterministic methods. We also demonstrate the modeling approach with the example of chalcopyrite Cu(InGa)(SeS)2 thin film growth via precursor reaction, which is a common industrial method for fabricating thin film photovoltaic modules. The model is used to understand how and why through-film variation in the composition of Cu(InGa)(SeS)2 thin films arises and persists. Finally, we believe that the model will be valuable as an effective quantitative description of many other materials systems used in semiconductors, energy storage, and other fast-growing industries.

Research Organization:
Univ. of Delaware, Newark, DE (United States)
Sponsoring Organization:
USDOE; National Science Foundation (NSF)
Grant/Contract Number:
EEC-1041895
OSTI ID:
1249956
Alternate ID(s):
OSTI ID: 1393916; OSTI ID: 1421037
Journal Information:
AIP Advances, Journal Name: AIP Advances Vol. 6 Journal Issue: 4; ISSN 2158-3226
Publisher:
American Institute of PhysicsCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 1 work
Citation information provided by
Web of Science

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