Quantitative 3D analysis of huge nanoparticle assemblies

Zanaga, Daniele; Bleichrodt, Folkert; Altantzis, Thomas; Winckelmans, Naomi; Palenstijn, Willem Jan; Sijbers, Jan; Nijs, Bart de; Huis, Marijn A. van; Sánchez‐Iglesias, Ana; Liz‐Marzán, Luis M.; Blaaderen, Alfons van; Batenburg, Kees Joost; Tendeloo, Gustaaf Van

doi:10.1039/c5nr06962a

Cited by 42 publications

(55 citation statements)

References 61 publications

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“…3c, e and Supplementary Movies 1 and 2 ), using an advanced particle tracking technique, for which we developed new fitting routines. The fitting exploits the symmetry of the NPs, which is sufficiently general to be extended to other particle shapes and provides a significant improvement to the codes recently developed to determine the positions and orientations of spherical 55 and rod-like particles 56 . Near the surface of the SPs, the nanocubes form defect-rich hexagonal layers (Fig.…”

Section: Resultsmentioning

confidence: 99%

Interplay between spherical confinement and particle shape on the self-assembly of rounded cubes

et al. 2018

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Self-assembly of nanoparticles (NPs) inside drying emulsion droplets provides a general strategy for hierarchical structuring of matter at different length scales. The local orientation of neighboring crystalline NPs can be crucial to optimize for instance the optical and electronic properties of the self-assembled superstructures. By integrating experiments and computer simulations, we demonstrate that the orientational correlations of cubic NPs inside drying emulsion droplets are significantly determined by their flat faces. We analyze the rich interplay of positional and orientational order as the particle shape changes from a sharp cube to a rounded cube. Sharp cubes strongly align to form simple-cubic superstructures whereas rounded cubes assemble into icosahedral clusters with additionally strong local orientational correlations. This demonstrates that the interplay between packing, confinement and shape can be utilized to develop new materials with novel properties.

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Section: Resultsmentioning

confidence: 99%

Interplay between spherical confinement and particle shape on the self-assembly of rounded cubes

et al. 2018

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“…To overcome these difficulties and to quantify the network topology, i.e., packing density, CNT–CNT contacts, and connectivity, which determine the final conductivity of the CNT network we employed electron tomography combined with model‐based image analysis. Briefly, this method involves acquisition of (scanning) TEM tilt‐series and reconstruction, followed by template matching to extract the centerline of the CNTs and associated information (such as local diameter), and reconstruction of CNTs using the best‐matched templates (see Figure and Sections S2 and S3, Supporting Information for the detailed information) …”

Section: Resultsmentioning

confidence: 99%

A Unified View on Nanoscale Packing, Connectivity, and Conductivity of CNT Networks

Gnanasekaran

Grimaldi

With

et al. 2019

Adv Funct Materials

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The design of functional structures from primary building blocks requires a thorough understanding of how size, shape, and particle-particle interactions steer the assembly process. Specifically, for electrically conductive networks build from carbon nanotubes (CNTs) combining macroscopic characterization and simulations shows that the achievable conductivity is mainly governed by CNT aspect ratio, length dispersity and attractive interactions. However, a direct link between the actual 3D network topology that leads to the observed electrical conductivity has not been established yet due to a lack in nanoscale experimental approaches. Here it is shown experimentally for randomly packed (jammed) CNT networks that the CNT aspect ratio determines, as theoretically predicted, the contact number per CNT which in turn scales linearly with the resulting electrical conductivity of the CNT network. Furthermore, nanoscale packing density, contact areas, contact distribution in random and nonrandom configurations, and least resistance pathways are quantified. The results illustrate how complex nanoscale networks can be imaged and quantified in 3D to understand and model their functional properties in a bottom-up fashion.

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“…Creating custom simulated phantoms is beneficial because it allows coupling of theoretical models with actual tomography. In fact, there are some reconstruction methods which utilize an internal model material model as a key part of the reconstruction algorithm (Zanaga et al, 2016).…”

Section: Why Custom Phantoms?mentioning

confidence: 99%

XDesign: an open-source software package for designing X-ray imaging phantoms and experiments

Ching

Gürsoy

2017

J Synchrotron Radiat

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The development of new methods or utilization of current X-ray computed tomography methods is impeded by the substantial amount of expertise required to design an X-ray computed tomography experiment from beginning to end. In an attempt to make material models, data acquisition schemes and reconstruction algorithms more accessible to researchers lacking expertise in some of these areas, a software package is described here which can generate complex simulated phantoms and quantitatively evaluate new or existing data acquisition schemes and image reconstruction algorithms for targeted applications.

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Quantitative 3D analysis of huge nanoparticle assemblies

Abstract: A new reconstruction approach for electron tomography is proposed, enabling a detailed 3D analysis of assemblies with as many as 10 000 particles.

Cited by 42 publications

References 61 publications

Interplay between spherical confinement and particle shape on the self-assembly of rounded cubes

Interplay between spherical confinement and particle shape on the self-assembly of rounded cubes

A Unified View on Nanoscale Packing, Connectivity, and Conductivity of CNT Networks

XDesign: an open-source software package for designing X-ray imaging phantoms and experiments

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