Large-scale fabrication of plasmonic gold nanohole arrays for refractive index sensing at visible region

2012 ◽  
Vol 100 (25) ◽  
pp. 253101 ◽  
Author(s):  
Ke Cheng ◽  
Shujie Wang ◽  
Zhonggang Cui ◽  
Qianqian Li ◽  
Shuxi Dai ◽  
...  
Keyword(s):  
Refractive Index ◽  
Large Scale ◽  
Visible Region ◽  
Refractive Index Sensing ◽  
Nanohole Arrays

Atomically flat symmetric elliptical nanohole arrays in a gold film for ultrasensitive refractive index sensing

Lab on a Chip ◽  
2013 ◽  
Vol 13 (13) ◽  
pp. 2541 ◽  
Author(s):  
Gabriela Andrea Cervantes Tellez ◽  
Sa'ad Hassan ◽  
R. Niall Tait ◽  
Pierre Berini ◽  
Reuven Gordon
Keyword(s):  
Refractive Index ◽  
Gold Film ◽  
Refractive Index Sensing ◽  
Nanohole Arrays ◽  
Atomically Flat

scholarly journals Large-Scale Uniform Silver Nanocave Array for Visible Light Refractive Index Sensing Using Soft UV Nanoimprint

2016 ◽  
Vol 8 (4) ◽  
pp. 1-7 ◽  
Author(s):  
Jinfeng Zhu ◽  
Yanqiang Bai ◽  
Lirong Zhang ◽  
Zhengyong Song ◽  
Hai Liu ◽  
...  
Keyword(s):  
Refractive Index ◽  
Visible Light ◽  
Large Scale ◽  
Refractive Index Sensing

Optimizing the resolution of nanohole arrays in metal films for refractive-index sensing

2012 ◽  
Vol 109 (4) ◽  
pp. 775-780 ◽  
Author(s):  
Gabriela Andrea Cervantes Tellez ◽  
Aftab Ahmed ◽  
Reuven Gordon
Keyword(s):  
Refractive Index ◽  
Metal Films ◽  
Refractive Index Sensing ◽  
Nanohole Arrays

Engineering a Large Scale Indium Nanodot Array for Refractive Index Sensing

2016 ◽  
Vol 8 (46) ◽  
pp. 31871-31877 ◽  
Author(s):  
Xiaoqing Xu ◽  
Xiaolin Hu ◽  
Xiaoshu Chen ◽  
Yangsen Kang ◽  
Zhiping Zhang ◽  
...  
Keyword(s):  
Refractive Index ◽  
Large Scale ◽  
Refractive Index Sensing ◽  
Nanodot Array

Accelerated Discovery of High-Refractive-Index Polyimides via First-Principles Molecular Modeling, Virtual High-Throughput Screening, and Data Mining

2019 ◽  
Author(s):  
Mohammad Atif Faiz Afzal ◽  
Mojtaba Haghighatlari ◽  
Sai Prasad Ganesh ◽  
Chong Cheng ◽  
Johannes Hachmann
Keyword(s):  
Data Mining ◽  
Refractive Index ◽  
High Throughput ◽  
First Principles ◽  
High Throughput Screening ◽  
Large Scale ◽  
Computational Study ◽  
High Refractive Index ◽  
Structural Features ◽  
Learning Program

<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>

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