Abstract:Accurate characterization of the
nanocrystal shape with high statistical
relevance is essential for exploiting the strongly shape-dependent
properties of cuboidal nanoparticles toward applications. This work
presents the development of a new small-angle scattering form factor
based on the superball geometry. The superball quantifies the characteristic
rounding of corners and edges of cuboidal nanoparticles with a single
parameter. Applied to small-angle scattering data of sufficiently
monodisperse nanoparticle… Show more
“…Using a fixed SD = 0.06, we obtain an edge length of e SAXS = 10.3 nm using a cubic form factor, a dia meter of d SAXS = 12.9 nm using a spherical form factor, and an edge length of a SAXS = 11.4 nm with p = 1.5, which corresponds to τ = 0.41, using a superball form factor (Figure 1e). [30] The normalized residuals of the fitting results (see inset Figure 1e) show that the superball mode fits with our experimental curve better than the spherical and cubic modes in the high q region (q > 0.3 nm −1 ), which is consistent with the truncated cube morphology of the TCs. Indeed, the normalized residuals also suggest that the spherical model fits the data better than the cubic model.…”
Section: Resultssupporting
confidence: 82%
“…The video was decomposed into image frames with the program VirtualDub. The radii a and c of the oblate ellipsoidal droplet were obtained by analyzing the image frames with ImageJ and the droplet volume was calculated by Fitting the SAXS Curve: The experimental SAXS curve of a dilute TC dispersion was fitted with a spherical, cubic form factor, and superball form factor [30] using the program SasView. The first frame of the timeresolved measurements, when the dispersions were free of aggregates and the contribution to the scattered intensity can be assumed to be purely by the form factor, was used for the fitting.…”
Section: Methodsmentioning
confidence: 99%
“…The experimental SAXS curve of a dilute TC dispersion was fitted with a spherical, cubic form factor, and superball form factor [ 30 ] using the program SasView. The first frame of the time‐resolved measurements, when the dispersions were free of aggregates and the contribution to the scattered intensity can be assumed to be purely by the form factor, was used for the fitting.…”
Structural transformations and lattice expansion of oleate‐capped iron oxide nanocube superlattices are studied by time‐resolved small‐angle X‐ray scattering (SAXS) during solvent removal. The combination of conductor‐like screening model for real solvents (COSMO‐RS) theory with computational fluid dynamics (CFD) modeling provides information on the solvent composition and polarity during droplet evaporation. Evaporation‐driven poor‐solvent enrichment in the presence of free oleic acid results in the formation of superlattices with a tilted face‐centered cubic (fcc) structure when the polarity reaches its maximum. The tilted fcc lattice expands subsequently during the removal of the poor solvent and eventually transforms to a regular simple cubic (sc) lattice during the final evaporation stage when only free oleic acid remains. Comparative studies show that both the increase in polarity as the poor solvent is enriched and the presence of a sufficient amount of added oleic acid is required to promote the formation of structurally diverse superlattices with large domain sizes.
“…Using a fixed SD = 0.06, we obtain an edge length of e SAXS = 10.3 nm using a cubic form factor, a dia meter of d SAXS = 12.9 nm using a spherical form factor, and an edge length of a SAXS = 11.4 nm with p = 1.5, which corresponds to τ = 0.41, using a superball form factor (Figure 1e). [30] The normalized residuals of the fitting results (see inset Figure 1e) show that the superball mode fits with our experimental curve better than the spherical and cubic modes in the high q region (q > 0.3 nm −1 ), which is consistent with the truncated cube morphology of the TCs. Indeed, the normalized residuals also suggest that the spherical model fits the data better than the cubic model.…”
Section: Resultssupporting
confidence: 82%
“…The video was decomposed into image frames with the program VirtualDub. The radii a and c of the oblate ellipsoidal droplet were obtained by analyzing the image frames with ImageJ and the droplet volume was calculated by Fitting the SAXS Curve: The experimental SAXS curve of a dilute TC dispersion was fitted with a spherical, cubic form factor, and superball form factor [30] using the program SasView. The first frame of the timeresolved measurements, when the dispersions were free of aggregates and the contribution to the scattered intensity can be assumed to be purely by the form factor, was used for the fitting.…”
Section: Methodsmentioning
confidence: 99%
“…The experimental SAXS curve of a dilute TC dispersion was fitted with a spherical, cubic form factor, and superball form factor [ 30 ] using the program SasView. The first frame of the time‐resolved measurements, when the dispersions were free of aggregates and the contribution to the scattered intensity can be assumed to be purely by the form factor, was used for the fitting.…”
Structural transformations and lattice expansion of oleate‐capped iron oxide nanocube superlattices are studied by time‐resolved small‐angle X‐ray scattering (SAXS) during solvent removal. The combination of conductor‐like screening model for real solvents (COSMO‐RS) theory with computational fluid dynamics (CFD) modeling provides information on the solvent composition and polarity during droplet evaporation. Evaporation‐driven poor‐solvent enrichment in the presence of free oleic acid results in the formation of superlattices with a tilted face‐centered cubic (fcc) structure when the polarity reaches its maximum. The tilted fcc lattice expands subsequently during the removal of the poor solvent and eventually transforms to a regular simple cubic (sc) lattice during the final evaporation stage when only free oleic acid remains. Comparative studies show that both the increase in polarity as the poor solvent is enriched and the presence of a sufficient amount of added oleic acid is required to promote the formation of structurally diverse superlattices with large domain sizes.
“…, ion exchange). 52 Here, 7082 distinct nanocrystals synthesized via the hot-injection method (without experimental size selection) were detected from 20 inputted TEM micrographs and analyzed. As determined by the unsupervised cluster evaluation algorithm, the nanocrystals were subsequently classified into four shape groups: small cuboids (group 1), large irregular nanocrystals (group 2), larger cuboids (group 3), and small platelets (group 4) (Fig.…”
Synthetic image rendering and deep learning create a non-biased ground truth for improved automated morphology classification of nanocrystals imaged by TEM.
“…the degree of truncation and roundness of cuboids. 120 The polydispersity of the nanoparticle ensembles is considered with a corresponding density distribution function. The relevant structural parameters of the particles and the corresponding distribution function can be determined by model fits of the reciprocal scattering data.…”
Section: Conventional Small-angle X-ray and Neutron Scatteringmentioning
Magnetic nanoparticles offer unique potential for various technological, biomedical, or environmental applications thanks to the size-, shape- and material-dependent tunability of their magnetic properties. To optimize particles for a specific...
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