Hollow Cylindrical Magnetron

Oiko, Vitor Toshiyuki Abrao; Sá, Artur Domingues Tavares de

doi:10.1002/9783527698417.ch7

Cited by 2 publications

(4 citation statements)

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“…Nanoparticle Production. Binary alloy (Au x Ag 1−x ) NPs have been generated using a homemade gas aggregation source described in detail in references, 26,27 schema in Figure 1a. Briefly, a hollow cylindrical magnetron is used to sputter atoms from a target located on the axis of the cylinder and made of twisted Au and Ag wires.…”

Section: Methodsmentioning

confidence: 99%

“…We have studied chemical composition gradients inside individual AuAg alloy nanoparticles in the 3–10 nm-diameter range using quantitative chemical composition measurement based on STEM-EDS. The particles have been produced by physical methods (gas aggregation, schema in Figure a) , and they are surfactant-free. The quantitative chemical composition of each individual BNP was obtained by applying the Cliff–Lorimer approach and standard error propagation on EDS counts obtained by azimuthal integration.…”

Section: Introductionmentioning

confidence: 99%

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Ag Surface Segregation in Sub-10-nm Bimetallic AuAg Nanoparticles Quantified by STEM-EDS and Machine Learning: Implications for Fine-Tuning Physicochemical Properties for Plasmonics and Catalysis Applications

Moreira,

Hillenkamp,

Rodrigues

et al. 2023

ACS Appl. Nano Mater.

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Mono-and multimetallic nanoparticles have been extensively studied in various fields due to their tunable physicochemical properties and potential for replacing expensive metals with more abundant and affordable ones. The chemical structure, i.e., the spatial distribution of elements inside nanoparticles, plays a crucial role in defining their properties, particularly in catalytic processes. However, accurately determining the spatial chemical distribution within sub-10-nm bimetallic nanoparticles remains a challenge. In this study, we have used scanning transmission electron microscopy associated with energydispersive spectroscopy to acquire hyperspectral images of gold− silver alloy nanoparticles in the 3−10-nm size range. We have quantified the chemical composition as a function of radial position; Ag enrichment toward the nanoparticle surface is robustly confirmed by statistical analysis, error bars, and nonoverlapping 3-sigma uncertainty intervals at the nanoparticle center and surface. Two complementary machine learning analyses (principal component analysis and non-negative matrix factorization) reveal that our experiments contain latent information on subtle composition variations inside the particles. The proposed data analysis procedures have also been validated by simulated data sets. These findings pave the way for more precise structural and chemical investigations of alloys on the nanoscale.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ag Surface Segregation in Sub-10-nm Bimetallic AuAg Nanoparticles Quantified by STEM-EDS and Machine Learning: Implications for Fine-Tuning Physicochemical Properties for Plasmonics and Catalysis Applications

Moreira,

Hillenkamp,

Rodrigues

et al. 2023

ACS Appl. Nano Mater.

Self Cite

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“…Bimetallic (Au x Ag 1– x ) nanoparticles are produced using a homemade gas aggregation cluster source. , A cloud of Au and Ag atoms was generated by a hollow cylindrical magnetron sputter in which the coaxial target is made of Au and Ag twisted wires. The metal atoms were carried by an argon cold (liquid N2) buffer, a process that induces atomic aggregation.…”

Section: Methodsmentioning

confidence: 99%

“…In this study, we further explore and investigate growth mechanisms and spatial orientation for InP nanowires using the vapor–liquid–solid method. We employ Au, Ag, and AuAg alloys synthesized in a gas-aggregation source , as nanoparticle catalysts to grow InP nanowires on lattice-mismatched GaAs substrates with different crystallographic orientations and surface polarities. The use of these physically synthesized nanoparticles enables precise control over the size and chemical composition while minimizing the surface contamination.…”

Section: Introductionmentioning

confidence: 99%

Planar vs Non-Planar Orientation in AuAg-Catalyzed InP Nanowire Growth

Zavarize,

Sibirev,

Berdnikov

et al. 2023

Crystal Growth & Design

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Hollow Cylindrical Magnetron

Cited by 2 publications

References 50 publications

Ag Surface Segregation in Sub-10-nm Bimetallic AuAg Nanoparticles Quantified by STEM-EDS and Machine Learning: Implications for Fine-Tuning Physicochemical Properties for Plasmonics and Catalysis Applications

Ag Surface Segregation in Sub-10-nm Bimetallic AuAg Nanoparticles Quantified by STEM-EDS and Machine Learning: Implications for Fine-Tuning Physicochemical Properties for Plasmonics and Catalysis Applications

Planar vs Non-Planar Orientation in AuAg-Catalyzed InP Nanowire Growth

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