Integrated Optics Volume 1: Modeling, material platforms and fabrication techniques

2020 ◽  
Keyword(s):  
Integrated Optics ◽  
Modeling Material

Integrated Optics: Theory and Technology

1982 ◽  
Author(s):  
Robert G. Hunsperger
Keyword(s):  
Integrated Optics

Integrated optics. Vocabulary

2015 ◽  
Keyword(s):  
Integrated Optics

Testing lithium niobate boules for integrated optics applications

1986 ◽  
Vol 22 (12) ◽  
pp. 674 ◽  
Author(s):  
G.E. Peterson ◽  
S.R. Lunt
Keyword(s):  
Lithium Niobate ◽  
Integrated Optics

Modified configuration for a high-finesse compact loop resonator for semiconductor integrated optics

1990 ◽  
Vol 26 (18) ◽  
pp. 1528 ◽  
Author(s):  
A. Shahar ◽  
W.J. Tomlinson ◽  
M. Sato
Keyword(s):  
Integrated Optics ◽  
High Finesse

Sol-gel process for glass integrated optics

1994 ◽  
Author(s):  
John D. Mackenzie ◽  
Yu-Hua Kao
Keyword(s):  
Integrated Optics ◽  
Sol Gel ◽  
Sol Gel Process

High-Speed Signal Processing with Nonlinear Integrated Optics

1983 ◽  
Vol 4 (1) ◽  
Author(s):  
G. I. Stegeman
Keyword(s):  
Signal Processing ◽  
Integrated Optics ◽  
High Speed

Nanoparticle Precipitation in a T-Mixer: Coupling Experimental and Numerical Investigations of the Fluid Dynamics With the Solid Formation Processes

2006 ◽  
Author(s):  
Johannes Gradl ◽  
Florian Schwertfirm ◽  
Hans-Christoph Schwarzer ◽  
Hans-Joachim Schmid ◽  
Michael Manhart ◽  
...  
Keyword(s):  
Flow Field ◽  
Fluid Dynamic ◽  
Concentration Field ◽  
Population Balance ◽  
Mixing Process ◽  
Image Velocimetry ◽  
Modeling Material ◽  
Field Information ◽  
Set Up ◽  
3D Information

Mixing and consequently fluid dynamic is a key parameter to tailor the particle size distribution (PSD) in nanoparticle precipitation. Due to fast and intensive mixing a static T-mixer configuration is capable for synthesizing continuously nanoparticles. The flow and concentration field of the applied mixer is investigated experimentally at different flow rates by Particle Image Velocimetry (PIV) and Laser Induced Fluorescence (LIF). Due to the PIV measurements the flow field in the mixer was characterized qualitatively and the mixing process itself is quantified by the subsequent LIF-measurements. A special feature of the LIF set up is to detect structures in the flow field, which are smaller than the Batchelor length. Thereby a detailed insight into the mixing process in a static T-Mixer is given. In this study a CFD-based approach using Direct Numerical Simulation (DNS) in combination with the solid formation kinetics solving population balance equations (PBE) is applied, using barium sulfate as modeling material. A Lagrangian Particle Tracking strategy is used to couple the flow field information with a micro mixing model and with the classical theory of nucleation. We found that the DNS-PBE approach including macro and micro mixing, combined with the population balance is capable of predicting the full PSD in nanoparticle precipitation for different operating parameters. Additionally to the resulting PSD, this approach delivers a 3D-information about all running subprocesses in the mixer, i.e. supersaturation built-up or nucleation, which is visualized for different process variables.

Study of Anisotropy Effect in Planar Lenses for Integrated Optics

1988 ◽  
Vol 35 (6) ◽  
pp. 849-862 ◽  
Author(s):  
W. Jiang ◽  
V.M. Ristic
Keyword(s):  
Integrated Optics ◽  
Anisotropy Effect

Examination of pressing of powders and norplastics using a modeling material

1987 ◽  
Vol 23 (2) ◽  
pp. 230-234
Author(s):  
I. A. Sleikshs
Keyword(s):  
Modeling Material
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