Abstract

We describe the production of size-selected manganese nanoclusters using a magnetron sputtering/aggregation source. Since nanoparticle production is sensitive to a range of overlapping operating parameters (in particular, the sputtering discharge power, the inert gas flow rates, and the aggregation length), we focus on a detailed map of the influence of each parameter on the average nanocluster size. In this way, it is possible to identify the main contribution of each parameter to the physical processes taking place within the source. The discharge power and argon flow supply the metal vapor, and argon also plays a crucial role in the formation of condensation nuclei via three-body collisions. However, the argon flow and the discharge power have a relatively weak effect on the average nanocluster size in the exiting beam. Here the defining role is played by the source residence time, governed by the helium supply (which raises the pressure and density of the gas column inside the source, resulting in more efficient transport of nanoparticles to the exit) and by the aggregation path length.

Highlights

  • To explore precisely how the properties and functionality of nanoscale particles depend on the number of constituent atoms, it is important to have tools which enable full control of particle size, purity, and shape

  • We describe the production of size-selected manganese nanoclusters using a magnetron sputtering/aggregation source

  • Since nanoparticle production is sensitive to a range of overlapping operating parameters, we focus on a detailed map of the influence of each parameter on the average nanocluster size

Read more

Summary

Introduction

To explore precisely how the properties and functionality of nanoscale particles depend on the number of constituent atoms, it is important to have tools which enable full control of particle size, purity, and shape. Since nanoparticle production is sensitive to a range of overlapping operating parameters (in particular, the sputtering discharge power, the inert gas flow rates, and the aggregation length), we focus on a detailed map of the influence of each parameter on the average nanocluster size.

Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call