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Plasma Chemistry and Plasma Processing

, Volume 36, Issue 4, pp 941–972 | Cite as

Synthesis of Silicon Nanoparticles in Nonthermal Capacitively-Coupled Flowing Plasmas: Processes and Transport

  • Romain Le Picard
  • Aram H. Markosyan
  • David H. Porter
  • Steven L. Girshick
  • Mark J. Kushner
Original Paper

Abstract

Control of the size and material properties of silicon nanoparticles plays a critical role in optimizing applications using those nanoparticles, such as photovoltaics and biomedical devices. While synthesis of silicon nanoparticles in low temperature plasmas has many attractive features, the basic mechanisms leading to formation of nanoparticles in these plasmas are poorly understood. A two-dimensional numerical model for synthesis of silicon nanoparticles (<5 nm in diameter) in radio frequency (RF) discharges was developed and used to investigate mechanisms for particle growth for Ar/He/SiH4 gas mixtures. Algorithms for the kinetics of nanoparticle formation were self-consistently embedded into a plasma hydrodynamics simulation to account for nucleation, growth, charging, and transport of nanoparticles. We found that with RF excitation in narrow tubes at pressures of a few Torr, the electric field does not fully confine charged nanoparticles in the axial direction, which then results in a finite residence time of particles in the plasma. We found that because of the high neutral nanoparticle density, coagulation plays a significant role in growth. The model predicts the possibility of synthesizing crystalline silicon nanoparticles under these conditions. Trends in the growth of nanoparticles as a function of power are discussed.

Keywords

Silicon nanoparticle synthesis Plasma modeling Nanoparticle charging 

Notes

Acknowledgments

We thank P. Seal and D. G. Truhlar for providing their calculations of the Gibbs free energy changes reported in Table 3. This work was supported by the U.S. National Science Foundation (CHE-124752) and the U.S. Dept. of Energy Office of Fusion Energy Science (DE-SC0001939).

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Romain Le Picard
    • 1
  • Aram H. Markosyan
    • 2
  • David H. Porter
    • 3
  • Steven L. Girshick
    • 1
  • Mark J. Kushner
    • 2
  1. 1.Department of Mechanical EngineeringUniversity of MinnesotaMinneapolisUSA
  2. 2.Electrical Engineering and Computer Science DepartmentUniversity of MichiganAnn ArborUSA
  3. 3.Minnesota Supercomputing InstituteUniversity of MinnesotaMinneapolisUSA

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