4.6 Article

Long-term stability of Cu surface nanotips

期刊

NANOTECHNOLOGY
卷 27, 期 26, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/0957-4484/27/26/265708

关键词

copper; kinetic Monte Carlo; surface diffusion; nanotips

资金

  1. Waldemar von Frenckells Stiftelse
  2. Ruth och Nils-Erik Stenbacks Stiftelse
  3. Academy of Finland [285382, 269696]
  4. CERN K-contract
  5. Academy of Finland (AKA) [285382, 285382, 269696, 269696] Funding Source: Academy of Finland (AKA)

向作者/读者索取更多资源

Sharp nanoscale tips on the metal surfaces of electrodes enhance locally applied electric fields. Strongly enhanced electric fields trigger electron field emission and atom evaporation from the apexes of nanotips. Together, these processes may explain electric discharges in the form of small local arcs observed near metal surfaces in the presence of electric fields, even in ultra-high vacuum conditions. In the present work, we investigate the stability of nanoscale tips by means of computer simulations of surface diffusion processes on copper, the main material used in high-voltage electronics. We study the stability and lifetime of thin copper (Cu) surface nanotips at different temperatures in terms of diffusion processes. For this purpose we have developed a surface kinetic Monte Carlo (KMC) model where the jump processes are described by tabulated precalculated energy barriers. We show that tall surface features with high aspect ratios can be fairly stable at room temperature. However, the stability was found to depend strongly on the temperature: 13 nm nanotips with the major axes in the < 110 > crystallographic directions were found to flatten down to half of the original height in less than 100 ns at temperatures close to the melting point, whereas no significant change in the height of these nanotips was observed after 10 mu s at room temperature. Moreover, the nanotips built up along the < 110 > crystallographic directions were found to be significantly more stable than those oriented in the < 100 > or < 111 > crystallographic directions. The proposed KMC model has been found to be well-suited for simulating atomic surface processes and was validated against molecular dynamics simulation results via the comparison of the flattening times obtained by both methods. We also note that the KMC simulations were two orders of magnitude computationally faster than the corresponding molecular dynamics calculations.

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