PMID- 33690514
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20210312
IS  - 1539-4522 (Electronic)
IS  - 1559-128X (Linking)
VI  - 60
IP  - 6
DP  - 2021 Feb 20
TI  - Improved particle swarm optimization algorithm for high performance SPR sensor 
      design.
PG  - 1753-1760
LID - 10.1364/AO.417015 [doi]
AB  - The surface plasmon resonance (SPR) sensor offers high sensitivity, good 
      stability, simple structure, and is label-free. However, optimizing a 
      multi-layered structure is quite time-consuming within the SPR sensor design 
      process. Moreover, it is easy to overlook optimal design when using the 
      conventional parameter sweeping method. In this paper, the improved particle 
      swarm optimization (IPSO) algorithm with high global optimal solution convergence 
      speed is applied for this purpose. Based on the IPSO algorithm, the SPR sensor 
      with transition metal dichalcogenides (TMDCs) and graphene composite is proposed 
      and optimized. The results show that the best Ag-ITO-WS(2)-graphene hybrid 
      structure can be found by the IPSO algorithm, and the maximum sensitivity is 
      137.4 degrees /RIU, and the figure of merit (FOM) is 5.25RIU(-1). Compared with the 
      standard particle swarm optimization algorithm, the number of iterations can be 
      reduced. The development of the SPR sensor provides an optimization platform, 
      which enormously improves the development efficiency of the multi-layer SPR 
      sensor.
FAU - Han, Lei
AU  - Han L
FAU - Xu, Chaoyu
AU  - Xu C
FAU - Huang, Tianye
AU  - Huang T
FAU - Dang, Xueyan
AU  - Dang X
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Appl Opt
JT  - Applied optics
JID - 0247660
SB  - IM
EDAT- 2021/03/11 06:00
MHDA- 2021/03/11 06:01
CRDT- 2021/03/10 18:08
PHST- 2021/03/10 18:08 [entrez]
PHST- 2021/03/11 06:00 [pubmed]
PHST- 2021/03/11 06:01 [medline]
AID - 447779 [pii]
AID - 10.1364/AO.417015 [doi]
PST - ppublish
SO  - Appl Opt. 2021 Feb 20;60(6):1753-1760. doi: 10.1364/AO.417015.