Process development of Ta2O5-SiO2 quantized nanolaminates for the use of complex optical filter systems

Quantized nanolaminates (QNL) are a material system that was developed, produced and characterized by the LZH in 2016 as an alternative optical material. The idea behind it is that, like a normal mixed material, QNLs have a refractive index that is determined by the ratio of the two materials used. However, the electron mobility is severely restricted by the very thin high refractive index material. This results in a higher band gap and a lower absorption edge of the system. Their properties have been demonstrated on ALD and IBS systems. But the complex and slow coating processes meant that only a few iterations could be produced. We have now developed a process on a magnetron sputtering system with a rotating substrate table that makes it possible to produce QNL layers of SiO<sub>2</sub> and Ta<sub>2</sub>O<sub>5 </sub>at a very high rate of up to 0.8nm/s. This makes it possible to use these nanolaminates economically as a stand-alone material, even in thick and high layer count designs. Because of the process we were able to produce a variety of QNL with different layer thickness and ratio combinations and perform a variety of measurements such as atomic force microscopy (AFM), total scattering (TIS), transmission electron microscopy (TEM) and Laser induced damage threshold (fs-LIDT) to determine their properties. We were able to use the knowledge gained to coat more complex multilayer systems in a range that would otherwise not have been possible with normal Ta<sub>2</sub>O<sub>5</sub>-SiO<sub>2</sub> coating systems.

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Published
2024-12-18
DOI
https://doi.org/10.1117/12.3032939
Primary Topic
Semiconductor materials and devices
Type
article
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article

Process development of Ta2O5-SiO2 quantized nanolaminates for the use of complex optical filter systems

Manuel Baertschi, Daniel Schachtler, Thomas Frei, Christoph Sturzenegger et al.
Semiconductor materials and devices
article

Process development of Ta2O5-SiO2 quantized nanolaminates for the use of complex optical filter systems

Manuel Baertschi, Daniel Schachtler, Thomas Frei, Christoph Sturzenegger, Stephan Waldner, Fabian Steger, Xavier Maeder, Silvia Schwyn Thoeny
article en

Abstract

Quantized nanolaminates (QNL) are a material system that was developed, produced and characterized by the LZH in 2016 as an alternative optical material. The idea behind it is that, like a normal mixed material, QNLs have a refractive index that is determined by the ratio of the two materials used. However, the electron mobility is severely restricted by the very thin high refractive index material. This results in a higher band gap and a lower absorption edge of the system. Their properties have been demonstrated on ALD and IBS systems. But the complex and slow coating processes meant that only a few iterations could be produced. We have now developed a process on a magnetron sputtering system with a rotating substrate table that makes it possible to produce QNL layers of SiO<sub>2</sub> and Ta<sub>2</sub>O<sub>5 </sub>at a very high rate of up to 0.8nm/s. This makes it possible to use these nanolaminates economically as a stand-alone material, even in thick and high layer count designs. Because of the process we were able to produce a variety of QNL with different layer thickness and ratio combinations and perform a variety of measurements such as atomic force microscopy (AFM), total scattering (TIS), transmission electron microscopy (TEM) and Laser induced damage threshold (fs-LIDT) to determine their properties. We were able to use the knowledge gained to coat more complex multilayer systems in a range that would otherwise not have been possible with normal Ta<sub>2</sub>O<sub>5</sub>-SiO<sub>2</sub> coating systems.

RhySearch (Switzerland) (CH), Swiss Federal Laboratories for Materials Science and Technology (CH)
Openalex Percentile: Top 79%
Semiconductor materials and devices
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Process development of Ta2O5-SiO2 quantized nanolaminates for the use of complex optical filter systems — Manuel Baertschi, Daniel Schachtler, et al. · (2024) | TGRS Research Map | TGRS