Extracting Optical Parameters of Plasmonic Titanium Nitride Using Ref FIT

In this study, we investigate the optical parameters of plasmonic Titanium Nitride (TiN) thin films using the RefFIT soft- ware, employing the Drude-Lorentz model for data fitting. TiN is an emerging material for plasmonic applications due to its high melting point, wear resistance, and stability at various temperatures, positioning it as a viable alternative to tra- ditional noble metals. Our research focuses on fabricating, characterizing and extracting optical and electrical proper- ties of TiN thin films deposited on silicon wafers using ellipsometry and Fourier Transform Infrared (FTIR) spectroscopy. We analyze six different samples, varying in thickness and composition, to determine key parameters such as plasma fre- quency and damping constants. The simultaneous fitting of reflectance and ellipsometry data in RefFIT provided results consistent with existing literature, establishing the software’s reliability for such analysis. Additionally, we validated the RefFIT results by comparing them with alternative models and experimental data, demonstrating the necessity of incor- porating Lorentz terms alongside Drude components for accurate optical characterization. Our findings reveal that TiN films exhibit desirable plasmonic properties, with carrier concentration and relaxation times aligning with known trends in nitrides. The robustness of RefFIT in modeling these properties confirms its utility for future research in plasmonic materials. This study underscores the potential of TiN in advanced plasmonic devices and encour- ages further exploration using comprehensive modeling techniques.

Authors

Publication Details

Journal
Journal of Electronics Science and Electrical Research
Published
2025-05-01
DOI
https://doi.org/10.63620/mkjeser.2025.1013
Primary Topic
Gold and Silver Nanoparticles Synthesis and Applications
Type
article
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article

Extracting Optical Parameters of Plasmonic Titanium Nitride Using Ref FIT

Maria Masood
Journal of Electronics Science and Electrical Research
Gold and Silver Nanoparticles Synthesis and Applications
article

Extracting Optical Parameters of Plasmonic Titanium Nitride Using Ref FIT

Maria Masood
article en

Abstract

In this study, we investigate the optical parameters of plasmonic Titanium Nitride (TiN) thin films using the RefFIT soft- ware, employing the Drude-Lorentz model for data fitting. TiN is an emerging material for plasmonic applications due to its high melting point, wear resistance, and stability at various temperatures, positioning it as a viable alternative to tra- ditional noble metals. Our research focuses on fabricating, characterizing and extracting optical and electrical proper- ties of TiN thin films deposited on silicon wafers using ellipsometry and Fourier Transform Infrared (FTIR) spectroscopy. We analyze six different samples, varying in thickness and composition, to determine key parameters such as plasma fre- quency and damping constants. The simultaneous fitting of reflectance and ellipsometry data in RefFIT provided results consistent with existing literature, establishing the software’s reliability for such analysis. Additionally, we validated the RefFIT results by comparing them with alternative models and experimental data, demonstrating the necessity of incor- porating Lorentz terms alongside Drude components for accurate optical characterization. Our findings reveal that TiN films exhibit desirable plasmonic properties, with carrier concentration and relaxation times aligning with known trends in nitrides. The robustness of RefFIT in modeling these properties confirms its utility for future research in plasmonic materials. This study underscores the potential of TiN in advanced plasmonic devices and encour- ages further exploration using comprehensive modeling techniques.

Journal of Electronics Science and Electrical Research
Openalex Percentile: Top 89%
Gold and Silver Nanoparticles Synthesis and Applications
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Extracting Optical Parameters of Plasmonic Titanium Nitride Using Ref FIT — Maria Masood · Journal of Electronics Science and Electrical Research (2025) | TGRS Research Map | TGRS