Presentation + Paper
24 February 2017 Tailoring the refractive index of ITO thin films by genetic algorithm optimization of the reactive DC-sputtering parameters
Author Affiliations +
Proceedings Volume 10105, Oxide-based Materials and Devices VIII; 101050I (2017) https://doi.org/10.1117/12.2251562
Event: SPIE OPTO, 2017, San Francisco, California, United States
Abstract
The variation of oxygen concentration in the Indium Tin Oxide (ITO) structure highly impacts its electrical and optical characteristics. In this work, we investigated the effect of oxygen partial flow (O2/O2+Ar) and deposition pressure (p) on the refractive index (n) of reactive sputtered ITO thin films. A statistical study with a Genetic Algorithm (GA) optimization was implemented to find optimal deposition conditions for obtaining particular refractive indices. Several samples of ITO thin films with refractive indices ranging from 1.69 - 2.1 were deposited by DC sputtering technique at various oxygen concentrations and deposition pressures, in order to develop the statistical database. A linear polynomial surface was locally fitted to the data of O2/O2+Ar, p, and n of deposited films. This surface was then used as the fitness function of the GA. By defining the desired n as the objective value of the GA, the optimized deposition conditions can be found. Two cases were experimentally demonstrated, with the GA determining the needed process parameters to deposit ITO with n=2.2 and n=1.6. Measured results were very close to desired values, with n=2.25 and n=1.62, demonstrating the effectiveness of this method for predicting needed reactive sputtering conditions to enable arbitrary refractive indices.
Conference Presentation
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Elnaz Afshari Pour and Cyrus Shafai "Tailoring the refractive index of ITO thin films by genetic algorithm optimization of the reactive DC-sputtering parameters", Proc. SPIE 10105, Oxide-based Materials and Devices VIII, 101050I (24 February 2017); https://doi.org/10.1117/12.2251562
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KEYWORDS
Refractive index

Oxygen

Thin films

Sputter deposition

Genetic algorithms

Optimization (mathematics)

Thin film deposition

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