Light Manipulation in Metallic Nanowire Networks with Functional Connectivity

Galinski, Henning; Fratalocchi, Andrea; Döbeli, M.; Capasso, Federico

doi:10.1002/adom.201600580

Cited by 18 publications

(46 citation statements)

References 49 publications

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“…In many cases, materials with the required properties to sustain complex light phenomena are not found in nature, and have to be artificially engineered. Recent work introduced a new class of 3D complex metamaterials based on random networks, which achieve different complex functionalities in a fully scalable fabrication platform at optical wavelengths. The study of these metamaterials requires the introduction of a new type of transformation optics that allows to characterize random structures and that is summarized in the next section.…”

Section: Network Nanomaterials Via Random Transformation Opticsmentioning

confidence: 99%

Section: Network Nanomaterials Via Random Transformation Opticsmentioning

confidence: 99%

“…In order to find a conformal mapping for an arbitrary structure, the authors of refs. [] reformulated the mathematical problem physically, by using an elastic continuum theory approach. This technique can be easily generalized in higher dimensions, finding the best quasi‐conformal mapping for arbitrary complex geometries in a multidimensional manifold.…”

Section: Network Nanomaterials Via Random Transformation Opticsmentioning

confidence: 99%

“…When a wave enters in an ENZ region, in fact, the phase velocity tends to infinity while the energy velocity goes to zero, resulting in a standing wave with an infinite wavelength. By controlling the fabrication of these structures via dealloying or electrodeposition, recent work showed how to engineer nontrivial collective response in these network nanomaterials, leading to different applications in structural colors and photovoltaics.…”

Section: Network Nanomaterials Via Random Transformation Opticsmentioning

confidence: 99%

See 3 more Smart Citations

Evolutionary Photonics for Renewable Energy, Nanomedicine, and Advanced Material Engineering

Favraud

Gongora

Fratalocchi

2018

Laser & Photonics Reviews

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Taking inspiration from complex natural phenomena such as chaos and unpredictability, as well as highly optimized organisms constituted by multitudes of interacting cells, evolutionary photonics aims at developing new sustainable technologies for renewable energy production, bioimaging, and scalable materials with advanced optical functionalities. These photonics systems integrate complex dielectric and/or metallic units into large networks of heterogeneous elements, which are entirely controlled by acting on the interactions among the different units that compose the network. This Review presents a selection of recent results in this research field, discussing advantages, challenges and perspectives of this technology in addressing global challenges in several scientific areas, ranging from broadband light energy harvesting, to scalable clean water production, early‐stage cancer detection, sensing, artificial intelligence, invisible structures, and to large‐scale optical materials with programmable functionality and robust structural coloration.

show abstract

Section: Network Nanomaterials Via Random Transformation Opticsmentioning

confidence: 99%

Section: Network Nanomaterials Via Random Transformation Opticsmentioning

confidence: 99%

Section: Network Nanomaterials Via Random Transformation Opticsmentioning

confidence: 99%

Section: Network Nanomaterials Via Random Transformation Opticsmentioning

confidence: 99%

See 2 more Smart Citations

Evolutionary Photonics for Renewable Energy, Nanomedicine, and Advanced Material Engineering

Favraud

Gongora

Fratalocchi

2018

Laser & Photonics Reviews

Self Cite

View full text Add to dashboard Cite

show abstract

“…A simple approach to study the optical properties of such complex systems [17] is to randomly generate an adequate number of potential realizations and average the computed quantity. While lacking finesse, this is, in fact, what is done in experiments with averaging implied when probing many elements simultaneously, and is indeed useful when microscopic statistics are sought [18].…”

Section: Introductionmentioning

confidence: 99%

Effective Optical Properties of Inhomogeneously Distributed Nanoobjects in Strong Field Gradients of Nanoplasmonic Sensors

et al. 2018

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Accurate and efficient modeling of discontinuous, randomly distributed entities is a computationally challenging task, especially in the presence of large and inhomogeneous electric near-fields of plasmons. Simultaneously, the anisotropy of sensed entities and their overlap with inhomogeneous fields means that typical effective medium approaches may fail at describing their optical properties. Here, we extend the Maxwell Garnett mixing formula to overcome this limitation by introducing a gradient within the effective medium description of inhomogeneous nanoparticle layers. The effective medium layer is divided into slices with a varying volume fraction of the inclusions and, consequently, a spatially varying effective permittivity. This preserves the interplay between an anisotropic particle distribution and an inhomogeneous electric field and enables more accurate predictions than with a single effective layer. We demonstrate the usefulness of the gradient effective medium in FDTD modeling of indirect plasmonic sensing of nanoparticle sintering. First of all, it yields accurate results significantly faster than with explicitly modeled nanoparticles. Moreover, by employing the gradient effective medium approach, we prove that the detected signal is proportional to not only the nanoparticle size but also its size dispersion and potentially shape. This implies that the simple volume fraction parameter is insufficient to properly homogenize these types of nanoparticle layers and that in order to quantify optically the state of the layer more than one independent measurement should be carried out. These findings extend beyond nanoparticle sintering and could be useful in analysis of average signals in both plasmonic and dielectric systems to unveil dynamic changes in exosomes or polymer brushes, phase changes of nanoparticles, or quantifying light absorption in plasmon assisted catalysis.

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Nanoporous Metallic Networks: Fabrication, Optical Properties, and Applications

2018

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Nanoporous metallic networks are a group of porous materials made of solid metals with suboptical wavelength sizes of both particles and voids. They are characterized by unique optical properties, as well as high surface area and permeability of guest materials. As such, they attract a great focus as novel materials for photonics, catalysis, sensing, and renewable energy. Their properties together with the ability for scaling-up evoke an increased interest also in the industrial field. Here, fabrication techniques of large-scale metallic networks are discussed, and their interesting optical properties as well as their applications are considered. In particular, the focus is on disordered systems, which may facilitate the fabrication technique, yet, endow the three-dimensional (3D) network with distinct optical properties. These metallic networks bridge the nanoworld into the macroscopic world, and therefore pave the way to the fabrication of innovative materials with unique optoelectronic properties.

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Light Manipulation in Metallic Nanowire Networks with Functional Connectivity

Cited by 18 publications

References 49 publications

Evolutionary Photonics for Renewable Energy, Nanomedicine, and Advanced Material Engineering

Evolutionary Photonics for Renewable Energy, Nanomedicine, and Advanced Material Engineering

Effective Optical Properties of Inhomogeneously Distributed Nanoobjects in Strong Field Gradients of Nanoplasmonic Sensors

Nanoporous Metallic Networks: Fabrication, Optical Properties, and Applications

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