Octopods versus Concave Nanocrystals: Control of Morphology by Manipulating the Kinetics of Seeded Growth via Co-Reduction

DeSantis, Christopher J.; Peverly, Angela A.; Peters, Dennis G.; Skrabalak, Sara E.

doi:10.1021/nl200824p

Cited by 156 publications

(187 citation statements)

References 46 publications

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“…This is quite different from Au−Pd nanostructures synthesized by seed-mediated nucleation and growth where gold NC core is preformed and then followed by The Journal of Physical Chemistry C the reduction of Pd precursor 46 or coreduction of Au and Pd precursors. 50,51 Electrocatalytic Activity for Methanol Oxidation. It has been reported that Pd-based NCs have a high electrocatalytic activity toward ethanol or methanol oxidation in alkaline solutions.…”

Section: ■ Results and Discussionmentioning

confidence: 99%

One-Step Synthesis of Au–Pd Alloy Nanodendrites and Their Catalytic Activity

et al. 2013

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Au−Pd bimetallic nanocrystals with well-defined dendritic morphology, uniform size, and homogeneous alloy structure were synthesized in an aqueous solution by using ascorbic acid as the reductant and triblock copolymer P123 as the stabilizing agent. In this synthesis, ascorbic acid played a key role in directing the nanodendritic morphology while the presence of Pd was mandatory for the formation of well-defined nanodendrites. Without Pd, only faceted nanoparticles of gold were formed under the same reaction conditions. Other reaction variables such as the addition sequence and the dropping rate of the metal precursors, the type and concentration of the stabilizing agents, and the reaction time and temperature were all found to affect the size uniformity and morphology perfectness to some extent. The Au/Pd atomic ratio could be tuned in a wide range without deteriorating the nanodendritic morphology. The as-prepared Au−Pd nanodendrites exhibited excellent catalytic activities toward electroxidation of methanol and reduction of 2-nitrophenol, and the catalytic performances could be effectively tuned by the Au/Pd ratio.

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Section: ■ Results and Discussionmentioning

confidence: 99%

One-Step Synthesis of Au–Pd Alloy Nanodendrites and Their Catalytic Activity

et al. 2013

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“…Integrating different metallic NCs into a HMNC can introduce new and enhanced properties, or multi-functionality not found in the parent metal NCs [1][2][3][4][5][6][7] . The properties of a HMNC are clearly architecture dependent [7][8][9][10][11][12][13][14][15][16][17] . Therefore, architectural engineering of HMNCs can significantly increase the possibilities to create new and more varied properties for application explorations.…”

Section: Spatial Arrangement Edge Satellitementioning

confidence: 99%

“…The shape of the satellite NCs can be varied by the [Ag þ ]/[Pd 2 þ ] concentration ratio and the concentration of HCl (which is used as an additive). These preparation variables are able to modify the preferred growth directions of the metal atoms 33 or the reduction rates of their precursors 10,34 to yield different shapes of satellite NCs.…”

Section: Principlesmentioning

confidence: 99%

Engineering the architectural diversity of heterogeneous metallic nanocrystals

et al. 2013

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Similar to molecular engineering where structural diversity is used to create more property variations for application explorations, the architectural engineering of heterogeneous metallic nanocrystals (HMNCs) can likewise increase the versatility of metallic nanocrystals (NCs). Here we present a synthesis strategy capable of engineering the architectural diversity of HMNCs through rational and independent programming of every architecture-determining element, that is, the shape and size of the component NCs and their spatial arrangement. The strategy is based on the galvanic replacement reaction of a self-sustaining layer formed by underpotential deposition on a polyhedral NC. The selective deposition of satellite NCs on specific site of the central NC is realized by creating a geometry-dependent heterogeneous electron distribution. This site-selective deposition approach is applicable to central NCs in various polyhedral shapes and sizes. The satellite NCs can further develop their own shape and size through crystal growth kinetics control.

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“…[21][22][23][24][25] Perhaps most remarkable of all is the level of control that has been attained over the synthesis of nonconvex, irregular, and even punctured particles. Branched colloids and nanocrystals, such as octapods [26][27][28][29][30] and tetrapods, 31,32 have been created, as well as other nonconvex shapes, e.g., nanostars 15,[33][34][35] and colloidal caps. [36][37][38] Moreover, there is a better understanding of the way to achieve phase behaviour that is dominated by entropic contributions in experimental systems.…”

Section: Introductionmentioning

confidence: 99%

Crystal-structure prediction via the Floppy-Box Monte Carlo algorithm: Method and application to hard (non)convex particles

Graaf

Filion

Maréchal

et al. 2012

The Journal of Chemical Physics

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In this paper, we describe the way to set up the floppy-box Monte Carlo (FBMC) method [L. Filion, M. Marechal, B. van Oorschot, D. Pelt, F. Smallenburg, and M. Dijkstra, Phys. Rev. Lett. 103, 188302 (2009)] to predict crystal-structure candidates for colloidal particles. The algorithm is explained in detail to ensure that it can be straightforwardly implemented on the basis of this text. The handling of hard-particle interactions in the FBMC algorithm is given special attention, as (soft) short-range and semi-long-range interactions can be treated in an analogous way. We also discuss two types of algorithms for checking for overlaps between polyhedra, the method of separating axes and a triangular-tessellation based technique. These can be combined with the FBMC method to enable crystal-structure prediction for systems composed of highly shape-anisotropic particles. Moreover, we present the results for the dense crystal structures predicted using the FBMC method for 159 (non)convex faceted particles, on which the findings in [J. de Graaf, R. van Roij, and M. Dijkstra, Phys. Rev. Lett. 107, 155501 (2011)] were based. Finally, we comment on the process of crystalstructure prediction itself and the choices that can be made in these simulations.

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Octopods versus Concave Nanocrystals: Control of Morphology by Manipulating the Kinetics of Seeded Growth via Co-Reduction

Cited by 156 publications

References 46 publications

One-Step Synthesis of Au–Pd Alloy Nanodendrites and Their Catalytic Activity

One-Step Synthesis of Au–Pd Alloy Nanodendrites and Their Catalytic Activity

Engineering the architectural diversity of heterogeneous metallic nanocrystals

Crystal-structure prediction via the Floppy-Box Monte Carlo algorithm: Method and application to hard (non)convex particles

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