A generalized diffusion model for growth of nanoparticles synthesized by colloidal methods

Wen, Tianlong; Brush, Lucien; Krishnan, Kannan M.

doi:10.1016/j.jcis.2013.12.018

Cited by 39 publications

(34 citation statements)

References 32 publications

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“…More complete models have been developed that predict a wider possible range of growth behaviors dependent on, for example, competing diffusion and adsorption rates of growth species. 29, 30 Nucleation and growth models have long been established in the limiting cases of diffusion and interface reaction controlled growth 30 , and more recently in our fully coupled treatment bridging the gap between these two limits 29 . Diffusivity, reaction coefficient, and surface energy data are not always available for these systems and experimental measurements of these parameters are not always feasible.…”

Section: Introductionmentioning

confidence: 99%

Synthesis of phase-pure and monodisperse iron oxide nanoparticles by thermal decomposition

et al. 2015

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Superparamagnetic iron oxide nanoparticles (SPIONs) are used for a wide range of biomedical applications requiring precise control over their physical and magnetic properties, which are dependent on their size and crystallographic phase. Here we present a comprehensive template for the design and synthesis of iron oxide nanoparticles with control over size, size distribution, phase, and resulting magnetic properties. We investigate critical parameters for synthesis of monodisperse SPIONs by organic thermal decomposition. Three different, commonly used, iron containing precursors (iron oleate, iron pentacarbonyl, and iron oxyhydroxide) are evaluated under a variety of synthetic conditions. We compare the suitability of these three kinetically controlled synthesis protocols, which have in common the use of iron oleate as a starting precursor or reaction intermediate, for producing nanoparticles with specific size and magnetic properties. Monodisperse particles were produced over a tunable range of sizes from approximately 2–30 nm. Reaction parameters such as precursor concentration, addition of surfactant, temperature, ramp rate, and time were adjusted to kinetically control size and size-distribution, phase, and magnetic properties. In particular, large quantities of excess surfactant (up to 25:1 molar ratio) alter reaction kinetics and result in larger particles with uniform size; however, there is often a trade-off between large particles and a narrow size distribution. Iron oxide phase, in addition to nanoparticle size and shape, is critical for establishing magnetic properties such as differential susceptibility (dm/dH) and anisotropy. As an example, we show the importance of obtaining the required size and iron oxide phase for application to Magnetic Particle Imaging (MPI), and describe how phase purity can be controlled. These results provide much of the information necessary to determine which iron oxide synthesis protocol is best suited to a particular application.

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Section: Introductionmentioning

confidence: 99%

Synthesis of phase-pure and monodisperse iron oxide nanoparticles by thermal decomposition

et al. 2015

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“…In this case, total diffusion flux through surface of nuclei is (Wen et al 2014) In this case, total diffusion flux through surface of nuclei is (Wen et al 2014)…”

Section: Chaptermentioning

confidence: 99%

Nanotechnology for Chemical Engineers

Elnashaie

Danafar

Hashemipour

2015

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“…Using the first approach to calculate the elastic parameters of metal nanoparticles, the authors conducted research. These studies were previously published in [10,11]. The second approach is an alternative, provides for the construction of the calculation process in the "bottom -up" direction and relies on the kinetic theory and the virial theorem [29,30].…”

Section: Calculation Of Stress Tensors and Deformationsmentioning

confidence: 99%

“…Mathematical modeling also allows us to discover and predict the potentially new and promising properties of these materials [4][5][6][7]. Many physical characteristics of nanoobjects, such as thermal conductivity coefficient [8,9], diffusion coefficient [10,11] and electrical conductivity [12,13], belong to macroparameters. Strain and stress tensors occupy a special place, since these values determine the deformation and failure of nanomaterials [14][15][16].…”

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confidence: 99%

Simulation of deformation and fracture processes in nanocomposites

Vakhrushev

Fedotov

2019

Frattura Ed Integrità Strutturale

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The paper studies the processes of deformation and fracture in nanocomposites. The study was carried out by the method of mathematical modeling. The behavior of the nanosystem was described by the molecular dynamics apparatus. A modified immersed atom method was used as a potential. Demonstrated theoretical approaches to the study of the mechanical properties of nanocosposites and the processes of their failure. Formulas for calculating the stress, strain tensors and displacement were given. To maintain a constant temperature in the nanosystem, a Nose-Hoover thermostat was used. The failure of nanocomposites was considered in the process of tension and shear deformation. Pure aluminum, a composite with an aluminum matrix and a filler in the form of spherical iron particles, and a composite with an aluminum matrix and a filler in the form of a cylindrical iron fiber were used as samples. After the filler was introduced into the nanocomposite, the sample was relaxed to ensure its more stable state. The simulation allowed us to establish the basic laws of changes in the atomic structure of the matrix and nanocomposite fillers during deformation and fracture. It is shown that the processes of deformation and failure of nanocomposites substantially depend both on the structure and types of loading of the material. The results of the research can be used to study the processes of deformation of nanocomposite materials with promising functional properties.

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A generalized diffusion model for growth of nanoparticles synthesized by colloidal methods

Cited by 39 publications

References 32 publications

Synthesis of phase-pure and monodisperse iron oxide nanoparticles by thermal decomposition

Synthesis of phase-pure and monodisperse iron oxide nanoparticles by thermal decomposition

Nanotechnology for Chemical Engineers

Simulation of deformation and fracture processes in nanocomposites

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