Design of high-performance plasmonic nanosensors by particle swarm optimization algorithm combined with machine learning-Reference-Cited by-同舟云学术

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Design of high-performance plasmonic nanosensors by particle swarm optimization algorithm combined with machine learning

Published:2020-06-30 Issue:37 Volume:31 Page:375202
ISSN:0957-4484
Container-title:Nanotechnology
language:
Short-container-title:Nanotechnology

Author:

Yan Ruoqin^ORCID,Wang Tao,Jiang Xiaoyun^ORCID,Zhong Qingfang,Huang Xing,Wang Lu,Yue Xinzhao

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IOP Publishing

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Mechanics of Materials,General Materials Science,General Chemistry,Bioengineering

Link

https://iopscience.iop.org/article/10.1088/1361-6528/ab95b8/pdf

Reference38 articles.

1. Plasmonic Biosensing

2. Surface Plasmon Resonance Sensors for Detection of Chemical and Biological Species

3. High throughput fabrication of plasmonic nanostructures in nanofluidic pores for biosensing applications

4. Modern surface plasmon resonance for bioanalytics and biophysics

5. Label-free plasmonic biosensors for point-of-care diagnostics: a review

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