Plasmonic nanoparticle simulations and inverse design using machine learning

Nanoscale ◽  
2019 ◽  
Vol 11 (37) ◽  
pp. 17444-17459 ◽  
Author(s):  
Jing He ◽  
Chang He ◽  
Chao Zheng ◽  
Qian Wang ◽  
Jian Ye

Ultrafast and computing resource-saving prediction of the far- and near-field optical properties of plasmonic nanoparticles and inverse design of their dimensions from the far-field spectra can be realized using machine learning.

2015 ◽  
Vol 112 (33) ◽  
pp. 10292-10297 ◽  
Author(s):  
Michael B. Ross ◽  
Jessie C. Ku ◽  
Martin G. Blaber ◽  
Chad A. Mirkin ◽  
George C. Schatz

Bottom-up assemblies of plasmonic nanoparticles exhibit unique optical effects such as tunable reflection, optical cavity modes, and tunable photonic resonances. Here, we compare detailed simulations with experiment to explore the effect of structural inhomogeneity on the optical response in DNA-gold nanoparticle superlattices. In particular, we explore the effect of background environment, nanoparticle polydispersity (>10%), and variation in nanoparticle placement (∼5%). At volume fractions less than 20% Au, the optical response is insensitive to particle size, defects, and inhomogeneity in the superlattice. At elevated volume fractions (20% and 25%), structures incorporating different sized nanoparticles (10-, 20-, and 40-nm diameter) each exhibit distinct far-field extinction and near-field properties. These optical properties are most pronounced in lattices with larger particles, which at fixed volume fraction have greater plasmonic coupling than those with smaller particles. Moreover, the incorporation of experimentally informed inhomogeneity leads to variation in far-field extinction and inconsistent electric-field intensities throughout the lattice, demonstrating that volume fraction is not sufficient to describe the optical properties of such structures. These data have important implications for understanding the role of particle and lattice inhomogeneity in determining the properties of plasmonic nanoparticle lattices with deliberately designed optical properties.


Nanoscale ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 5402-5411 ◽  
Author(s):  
Min Xi ◽  
Björn M. Reinhard

The effect of composition and tip morphology on the far-field optical response of Ag–Au–Ag nanorods with Au bipyramid core is quantified, and the near-field associated with standing plasmon waves in nanorods on silicon substrates is investigated.


2020 ◽  
Author(s):  
Won-Geun Kim ◽  
Jongmin Lee ◽  
Vasanthan Devaraj ◽  
Minjun Kim ◽  
Hyuk Jeong ◽  
...  

Abstract Plasmonic nanoparticle clusters promise to support various, unique artificial electromagnetisms at optical frequencies, realizing new concept devices for diverse nanophotonic applications. However, the technological challenges associated with the fabrication of plasmonic clusters with programmed geometry and composition remain unresolved. Here, we present a freeform fabrication of hierarchical plasmonic clusters (HPCs) based on omnidirectional guiding of evaporative self-assembly of gold nanoparticles (AuNPs) with the aid of 3D printing. Our method offers a facile, universal route to shape the multiscale features of HPCs in three-dimensions, leading to versatile manipulation of both far-field and near-field characteristics. Various functional nanomaterials can be effectively coupled to plasmonic modes of the HPCs by simply mixing with AuNP ink. We demonstrate in particular an ultracompact surface-enhanced Raman spectroscopy (SERS) platform to detect M13 viruses and their mutations from femtolitre volume, sub-100pM analytes. This SERS microplatform could pave the way towards simple, innovative detection methods of diverse pathogens, which is in high demand for handling pandemic situations. We expect our method to freely design and realize nanophotonic structures beyond the restrictions of traditional fabrication processes. Plasmonic nanoparticle clusters have attracted great attention due to the unique capability to manipulate electromagnetic fields at the sub-wavelength scale1–5. Ensembles of metallic nanoparticles generate various electromagnetisms at optical frequencies such as artificial magnetism6–10 and Fano-like interference11–13 and a strong field localization in the structure14–16. These unique properties are geometry-dependent and lead to a broad range of applications in sensing16,17, surface-enhanced spectroscopies18–22, nonlinear integrated photonics23,24, and light harvesting25,26. Traditionally, plasmonic clusters with tailored size and geometry are fabricated on substrates by top-down processes such as electron-beam lithography4,5 or focused-ion beam milling27,28. These approaches suffer from low throughput and are generally limited to in-plane fabrication. Alternatively, the self-assembly of colloids has been proposed as a versatile, high-throughput, and cost-effective route. A number of clever methods based on chemical linking (e.g., DNA origami)29–30 and/or convective assembly on lithographically structured templates25,26,31 have been devised to construct 2D or 3D plasmonic clusters. The shape formation, however, is mostly constrained by the thermodynamic impetus and/or template geometry. A significant challenge would be overcome these restrictions and expand structural design freedom in the fabrication of plasmonic cluster architectures with symmetry-breaking geometries. In this work, we develop a freeform, programmable 3D assembly of of hierarchical plasmonic clusters (HPCs). By exploiting micronozzle 3D printing, we demonstrate highly localized, omnidirectional meniscus-guided assembly of metallic nanoparticles, constructing a freestanding HPC with a tailored geometry that can control the far-field character. Our approach also allows versatile manipulation and exploitation of the near-field interaction in the HPC by a facile heterogeneous nanoparticle mixing. We demonstrate that 3D-printed HPCs can be utilized as an ultracompact surface-enhanced Raman spectroscopy (SERS) platform to detect M13 viruses and their mutations from femtolitre volume, sub-100pM analytes.


2006 ◽  
Vol 97 (10) ◽  
Author(s):  
Christian Girard ◽  
Erik Dujardin ◽  
Mei Li ◽  
Stephen Mann

2009 ◽  
Vol 130 (3) ◽  
pp. 034702 ◽  
Author(s):  
Frédéric Bonell ◽  
Audrey Sanchot ◽  
Erik Dujardin ◽  
Renaud Péchou ◽  
Christian Girard ◽  
...  

2001 ◽  
Vol 89 (2) ◽  
pp. 1138-1144 ◽  
Author(s):  
B. Dumay ◽  
N. Richard ◽  
T. David ◽  
E. Bourillot ◽  
F. Scheurer ◽  
...  

2019 ◽  
Vol 36 (7) ◽  
pp. E36 ◽  
Author(s):  
Iman Ragheb ◽  
Macilia Braik ◽  
Abdelaziz Mezeghrane ◽  
Leïla Boubekeur-Lecaque ◽  
Abderrahmane Belkhir ◽  
...  

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