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Simulations of the inert gas condensation processes

  • Pavel Krasnochtchekov EMAIL logo , K. Albe and R. S. Averback
Published/Copyright: February 7, 2022

Abstract

Inert gas condensation of metallic and covalently bonded nanoparticles has been investigated using molecular-dynamics computer simulations. Using Ge as an example, the different phases of particle growth, nucleation, monomeric growth, and cluster aggregation, have been identified and the kinetics of each described. In addition, the evolutions of the morphologies of the different types of nanoparticles have been studied. It is shown that while covalently bonded nanoparticles tend toward a ramified structure, metallic nanoparticles remain compact, owing to deformation in the crystallized state. Finally, the strong influence of surface segregation on the structure of alloy nanoparticles is illustrated using a model system.


Dedicated to Professor Dr. Dr. h. c. Herbert Gleiter on the occasion of his 65th birthday

Pavel Krasnochtchekov Dept. of Materials Science and Engineering University of Illinois at Urbana-Champaign 1304 W. Green St. Urbana, IL 61801 U. S. A. Tel.: +01 217 244 3825

  1. The research was supported by the U.S. Department of Energy, Basic Energy Sciences, under grant DEFG02-91-ER45439 and through the University of California under subcontract 8341494 (the U.S. Department of Energy). Grants of computer time from the National Center for Supercomputing Applications (NCSA) and the National Energy Research Scientific Computing Center (NERSC) are also gratefully acknowledged.

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Appendix 1

We have examined whether Eq. (3) can be applied to nanoscale systems by determining the sintering time of liquid Cu drops as a function of their initial size. Similar simulations were previously performed for liquid silicon particles, however this study, unlike the present, employed experimental values of viscosity and surface tension, and these can differ significantly from the predictions of MD potentials [27].

During the course of sintering in our simulations on Cu, the asphericity of the combined particle was calculated. These results are shown in Fig. 16a for two 9 nm droplets. The sintering temperature was 1000 K, which is below the freezing point, so that the particles in our simulation were supercooled. The characteristic time of sintering can thus be associated with the point on the time scale where the asphericity reaches some specified, small value; we chose A = 0.05. Results for particles of different sizes are plotted in Fig. 16b. The sintering time is clearly linear with particle size, in agreement with the prediction of Eq. (3). In order to evaluate the constant in this equation, γ and η were extracted from our simulations. While surface energy could be calculated directly (γ = 0.070 eV/Å2), the value of viscosity was estimated from the value of the diffusion coefficient, using the Stokes–Einstein relationship, Eq. (4), where R0 is the radius of a Cu atom, 1.28 Å. Based on the value of the diffusion coefficient of Cu at 1000 K, D = 9.9 × 10– 2 Å2/ps, one obtains a viscosity, η = 0.0376 eV ps/Å3. With these values of surface energy and viscosity, the characteristic time of sintering for two Cu clusters with radius 4.5 nm, would be τ = 24 ps using Eq. (1). This time compares with τ = 76 ps. found from the simulations. Thus, the theory of sintering expressed by Eq. (1) agrees quite well with simulation results although a factor of ≈3.2 is required to yield sintering times corresponding to the chosen value of our threshold asphericity A = 0.05. Quite significant is that Eq. (1) is valid for cluster sizes as small as ≈2 nm.

Fig. 16 (a) Evolution of the asphericity of sintering 9 nm drops, and (b) the dependence of sintering time on cluster size.
Fig. 16

(a) Evolution of the asphericity of sintering 9 nm drops, and (b) the dependence of sintering time on cluster size.

Received: 2003-05-24
Published Online: 2022-02-07

© 2003 Carl Hanser Verlag, München

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  17. Low-temperature plasma nitriding of AISI 304 stainless steel with nano-structured surface layer
  18. New materials from non-intuitive composite effects
  19. On the line defects associated with grain boundary junctions
  20. Young’s modulus in nanostructured metals
  21. The kinetics of phase formation in an ultra-thin nanoscale layer
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  23. Personal/Personelles
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