A plasma‐based gas‐phase method for synthesis of gold nanoparticles

Izadi, Alborz; Anthony, Rebecca

doi:10.1002/ppap.201800212

Cited by 15 publications

(4 citation statements)

References 34 publications

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“…Farhangi et al investigated effect of fiber reinforced polymer tubes filled with recycled materials [16,17]. Izadi et al investigated effect of nanoparticles on mechanical properties of polymers [18,19,20]. Nunes and Moreira [21], in 2013, published a work that analyzes the simple shear state of an incompressible hyperelastic solid under large deformation by experimental and theoretical approaches.…”

Section: Past Researchmentioning

confidence: 99%

A Bayesian Surrogate Constitutive Model to Estimate Failure Probability of Rubber-Like Materials

Ghaderi,

Morovati,

Dargazany

2020

Preprint

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In this study, a stochastic constitutive modeling approach for elastomeric materials is developed to consider uncertainty in material behavior and its prediction. This effort leads to a demonstration of the deterministic approaches error compared to probabilistic approaches in order to calculate the probability of failure. First, the Bayesian linear regression model calibration approach is employed for the Carroll model representing a hyperelastic constitutive model. The developed model is calibrated based on the Maximum Likelihood Estimation (MLE) and Maximum a Priori (MAP) estimation. Next, a Gaussian process (GP) as a non-parametric approach is utilized to estimate the probabilistic behavior of elastomeric materials. In this approach, hyper-parameters of the radial basis kernel in GP are calculated using L-BFGS method. To demonstrate model calibration and uncertainty propagation, these approaches are conducted on two experimental data sets for silicon-based and polyurethane-based adhesives, with four samples from each material. These uncertainties stem from model, measurement, to name but a few. Finally, failure probability calculation analysis is conducted with First Order Reliability Method (FORM) analysis and Crude Monte Carlo (CMC) simulation for these data sets by creating a limit state function based on the stochastic constitutive model at failure stretch. Furthermore, sensitivity analysis is used to show the importance of each parameter of the probability of failure. Results show the performance of the proposed approach not only for uncertainty quantification and model calibration but also for failure probability calculation of hyperelastic materials.

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Section: Past Researchmentioning

confidence: 99%

A Bayesian Surrogate Constitutive Model to Estimate Failure Probability of Rubber-Like Materials

Ghaderi,

Morovati,

Dargazany

2020

Preprint

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“…Nonthermal plasmas can process various materials at near room temperature and low pressures (1–10 Torr). − Free electrons with temperatures in the 1–5 eV range can activate a broad range of chemistries, even while the gas remains close to room temperature, including in the case of the nucleation of nanoparticles. An additional advantage of low-temperature plasmas (LTPs) is the electrostatic stabilization of nanoparticles dispersed within them. , This effect prevents agglomeration, allowing the functionalization of individual particles on-the-fly, as opposed to agglomerates.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Combustion of Magnesium Nanoparticles via Low-Temperature Plasma-Induced Hydrogenation

Wagner,

Kim,

Chowdhury

et al. 2023

ACS Appl. Mater. Interfaces

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The hydrogenation of metal nanoparticles provides a pathway toward tuning their combustion characteristics. Metal hydrides have been employed as solid-fuel additives for rocket propellants, pyrotechnics, and explosives. Gas generation during combustion is beneficial to prevent aggregation and sintering of particles, enabling a more complete fuel utilization. Here, we discuss a novel approach for the synthesis of magnesium hydride nanoparticles based on a two-step aerosol process. Mg particles are first nucleated and grown via thermal evaporation, followed immediately by in-flight exposure to a hydrogen-rich low-temperature plasma. During the second step, atomic hydrogen generated by the plasma rapidly diffuses into the Mg lattice, forming particles with a significant fraction of MgH2. We find that hydrogenated Mg nanoparticles have an ignition temperature that is reduced by ∼200 °C when combusted with potassium perchlorate as an oxidizer, compared to the non-hydrogenated Mg material. This is due to the release of hydrogen from the fuel, jumpstarting its combustion. In addition, characterization of the plasma processes suggests that a careful balance between the dissociation of molecular hydrogen and heating of the nanoparticles must be achieved to avoid hydrogen desorption during production and achieve a significant degree of hydrogenation.

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“…this procedure, high energy laser is con-centrated at a specific-point on a solid surface target to evapo-rate lightabsorbing material. 'ablation' means removal the atoms from the surface target and it doesont involve a sin-gle photon process the chemical bonds breaking but also multi-photon excitation thermal eva-poration [16][17][18][19][20][21][22][23][24][25]. In study review, pulsed-laser ablation-originate in nanoparticle formation procesdures and their mechanism process are dis cussed, then laser ablation techniques for synthe-sizing kinds of nano particles.…”

Section: Introductionmentioning

confidence: 99%

A Review of Laser Ablation- Synthesis of Nanoparticles: Concepts and the Principles

2023

JNSR

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Laser tecnique is considered one to prepare different kinds of nano materials esspetially nano particles such as quantum dots, carbon nano tubes, nano wires, and core-shell nano particles. The current study review including nano particles which are prepared by pulsed -laser ablation . The growth procedure of nano particles by laserablation is focuced in this study . The important parameters to control of nano particle size and the aims to nano particle preparation by pulsed-laser ablation-technology are then discussed.

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A plasma‐based gas‐phase method for synthesis of gold nanoparticles

Cited by 15 publications

References 34 publications

A Bayesian Surrogate Constitutive Model to Estimate Failure Probability of Rubber-Like Materials

A Bayesian Surrogate Constitutive Model to Estimate Failure Probability of Rubber-Like Materials

Enhancing the Combustion of Magnesium Nanoparticles via Low-Temperature Plasma-Induced Hydrogenation

A Review of Laser Ablation- Synthesis of Nanoparticles: Concepts and the Principles

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