scholarly journals Convergence Study of High Refractive Index Polarized Glasses Lens with Photochromic and UV Blocking Function

Author(s):  
Doo Hee Han ◽  

Those who use convex or concave lenses should use sunglasses made from regular spectacle lenses. In this case, it uses a surface coating to block UV rays, so it is relatively vulnerable to UV protection. To this end, we developed a spectacle lens that can completely block ultraviolet light and suppress blue light by using a monomer that completely blocks the area below 410 nm and has a sunglasses function through photochromic function. A spectacle lens with photochromic, polarization and UV blocking functions was developed using a monomer with a high refractive index of 1.67. In the photochromic property, a recovery time of 2 minutes for light reaction and 5 minutes for dark reaction was obtained. Five layers of anti-reflection coating were applied to the surface of the lens to reduce the transmittance in the visible light region to 0.1 or less. ITO was applied to give an electromagnetic wave shielding function, and the thickness and conductivity of ITO were proportional to the result. The blue light emitted from the LED is reduced by more than 30% to reduce eye fatigue. UV rays were completely blocked below 410 nm. Keywords—Ultra violet, Blue light, Sunglass, Photochromic, Eyeglass lenses

RSC Advances ◽  
2016 ◽  
Vol 6 (6) ◽  
pp. 4377-4381 ◽  
Author(s):  
Chih-Yuan Hsu ◽  
Wei-Gang Han ◽  
Shu-Jen Chiang ◽  
Wen-Chiung Su ◽  
Ying-Ling Liu

Multi-functional branched polysiloxanes exhibiting good thermal stability, high thermal resistance, self-extinguishing properties, high transparency at ultraviolet to blue light region, and relatively high RI value (1.59).


RSC Advances ◽  
2017 ◽  
Vol 7 (57) ◽  
pp. 35957-35961 ◽  
Author(s):  
Jingjing Liu ◽  
Tengfei Wang ◽  
Fuqiang Nie

An aperiodic plasmoic nanotextured surface with metal-dielectric-metal (MDM) multilayer nanostructure acts as a refractive index (RI) sensor in the ultra-violet light region.


2018 ◽  
Vol 36 (1) ◽  
pp. 56-68
Author(s):  
Katarzyna Oleśko ◽  
Hieronim Szymanowski ◽  
Maciej Gazicki-Lipman ◽  
Jacek Balcerzak ◽  
Witold Szymań Ski ◽  
...  

Abstract This work initiates a series of reports aimed at a construction of rugate optical filters based on silicon rich materials of alternating gradients of refractive index n with the help of plasma enhanced chemical vapor deposition (PECVD) technique, The idea is to start deposition of high refractive index SixNy type of material using hexamethyldisilazane (HMDSN) vapor and nitrogen rich atmosphere, and then to gradually replace nitrogen with oxygen in that atmosphere in order to lower n down to a minimum characteristic of SixOy type of material. A return to initial gas composition should increase the index back to its maximum. In the present work, thin SixNyCz films were synthesized from a mixture of HMDSN vapor with gaseous NH3 and N2. The effect of NH3/N2 ratio on the coating morphology, its elemental composition, chemical bonding and optical properties was studied using scanning electron microscopy, X-ray photoelectron spectroscopy, Fourier transform infrared spectroscopy, ultra-violet absorption spectroscopy and variable angle spectroscopic ellipsometry. The results show that films of the highest index of refraction and the lowest extinction coefficient have been deposited from the gas mixture containing 90 % of ammonia. These coatings are also characterized by the lowest carbon and the highest nitrogen contents.


2019 ◽  
Author(s):  
Mohammad Atif Faiz Afzal ◽  
Mojtaba Haghighatlari ◽  
Sai Prasad Ganesh ◽  
Chong Cheng ◽  
Johannes Hachmann

<div>We present a high-throughput computational study to identify novel polyimides (PIs) with exceptional refractive index (RI) values for use as optic or optoelectronic materials. Our study utilizes an RI prediction protocol based on a combination of first-principles and data modeling developed in previous work, which we employ on a large-scale PI candidate library generated with the ChemLG code. We deploy the virtual screening software ChemHTPS to automate the assessment of this extensive pool of PI structures in order to determine the performance potential of each candidate. This rapid and efficient approach yields a number of highly promising leads compounds. Using the data mining and machine learning program package ChemML, we analyze the top candidates with respect to prevalent structural features and feature combinations that distinguish them from less promising ones. In particular, we explore the utility of various strategies that introduce highly polarizable moieties into the PI backbone to increase its RI yield. The derived insights provide a foundation for rational and targeted design that goes beyond traditional trial-and-error searches.</div>


2013 ◽  
Vol 28 (6) ◽  
pp. 671-676 ◽  
Author(s):  
Yu-Qing ZHANG ◽  
Li-Li ZHAO ◽  
Shi-Long XU ◽  
Chao ZHANG ◽  
Xiao-Ying CHEN ◽  
...  

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