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Computer Simulation of Sputtering & Collision Cascades in Ionic Materials. D Ramasawmy*, S D Kenny and Roger Smith Department of Mathematical Sciences. * Email: madr@lboro.ac.uk. Sputtering: Definition, History & Applications.
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Computer Simulation of Sputtering & Collision Cascadesin Ionic Materials D Ramasawmy*, S D Kenny and Roger Smith Department of Mathematical Sciences * Email: madr@lboro.ac.uk
Sputtering: Definition, History & Applications. Computer Simulation of Sputtering of NaCl by impact with a Na+ ion. Use of DPMTA code‡ Order (N) to evaluate Coulombic interactions. Collision Cascades in NaCl. Outline ‡ DPMTA : http://www.ee.duke.edu/Research/SciComp/Docs/Dpmta/dpmta.html
Sputtering Definition • Sputtering is the removal of surface atoms due to energetic particle bombardment. • This is caused by collisions between the incoming particles and the atoms in the near surface layers of a solid. History • The first recorded observation of sputtering was made by W R Grove‡ 150 years ago. Applications • Sputtering is not just an unwanted effect which destroys cathodes and contaminates plasmas. • It is used in many modern industrial processes including surface cleaning and etching, thin film deposition, surface and surface layer analysis. ‡ W R Grove, Philosophical Transactions, vol 142, page 87, 1852.
MD Methodology • Target : a NaCl lattice • System size : 1944 particles • Impact particle : a Na+ ion at normal incidence with energy of 1 KeV • Fixed boundary conditions were taken along the sides while the top and bottom surfaces were free. • Several hundreds of trajectories with run-time of 2.0 ps were carried out for different impact positions to yield a good statistics. • A particle is considered sputtered if it is moving away from the surface and it has sufficient KE to overcome the electrostatic attraction.
MD Methodology • The electrostatic interactions were evaluated using a “brute force” method • The potential used was that of the Buckingham form as given by Catlow et al. ‡ • This potential as given was not suitable for modelling collisional phenomena. • The Na+ - Cl- potential was hardened using a screened coulomb potential ‡‡ to overcome the over attractive forces for small separation. ‡ C.R.A. Catlow, K.M. Diller and M.J.Norgett, J. Phys. C: Solid State Phys., 10, 1394 (1977). ‡‡ D. Ramasawmy, S.D. Kenny, Roger Smith, NIMB (2002).
Simulation • Due to the symmetry of the (100) surface of the NaCl lattice, we have considered only one quarter of the area of the surface unit cell. Cl- ion From the results, sputtering was observed to occur only for impacts concentrated around the Na+ ion and the Cl- ion. Furthermore, for the majority of impacts outside these regions, channelling was observed. Reduced Impact Zone Na+ ion
% 1st layer 2nd layer 3rd layer 5th layer Reflected Results • The overall sputtering yield was determined to be 0.36 with a variance of 0.01. • The total no of sputtered particles was almost evenly distributed between the 2 species [ 51% Na+ & 49% Cl-]. • A lower yield of sputtered particles was observed compared to similar impacts on metals. • The sputtered particles were classified into groups according to their kinetic energies and atomic types. • More low energy particles were ejected compared from metals and semi-conductors. • The origin of the ejected particles is summarised in the table. It shows a substantial contribution from subsurface layers. 76.5 6.5 3.3 3.5 4th layer 4.1 6.0
Further Results • The angular distributions show less structure representative than is typical for sputtering from metals and semi-conductors. • The majority of trajectories lead to only a small number of sputtered particles. • The ions are often seen to come off as NaCl dimers.
Movie of Sputtering • Example of a Computer Simulation of the Sputtering of NaCl by impact with a Na+ ion with 1 KeV at normal incidence.
We have observed that ionic materials show a number of characteristic differences from metals and semi-conductors. They are as follows: a) Lower ejection yields b) Larger contribution from subsurface layers c) Less well-defined angular distributions d) Large number of low energy ejected particles. There is a number of features that warrant further investigation, namely the effect of bombarding species, the crystal size and cluster formation. Discussion
DPMTA • DPMTA‡ (a Distributed Implementation of the Parallel Multipole Tree Algorithm) code developed at Duke University was implemented within our MD code. • DPMTA is based on the FMM (the Fast Multipole Method) and was originally developed by Greengard and Rokhlin‡‡. • This method is O(N) meaning that it is faster compared with the “crude” method which is O(N2) and which we used in our initial study. • We are now simulating bigger system sizes and this will enable us to study sputtering, collision cascades and other effects in more detail. ‡ DPMTA : http://www.ee.duke.edu/Research/SciComp/Docs/Dpmta/dpmta.html ‡‡ L. Greengard, V. Rokhlin, J. Comp. Phys. 82 (1997) 135
Collision Cascades We are currently doing some test simulations on Collision Cascades. Below is one example in which a Cl- ion about the centre of a NaCl lattice is given 250 eV along a certain direction. Temperature: 0 K; System Size : 5832 particles. Legend: Colours of Spheres Blue / Purple Interstitial (Cl- ion) Red Interstitial (Na+ ion) Brown Vacancy (Cl- ion) Grey Vacancy (Na+ ion) Acknowledgements: H Hurchand ( Collision Cascades )