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Quantization of crack speeds in dynamic fracture of silicon: Multiparadigm ReaxFF modeling

Published online by Cambridge University Press:  01 February 2011

Harvey Tang
Affiliation:
Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, 02139
Janet Rye
Affiliation:
janetryu@MIT.EDU, Massachusetts Institute of Technology, Materials Science and Engrg., Cambridge, 02139, United States
Markus J. Buehler
Affiliation:
mbuehler@MIT.EDU, Massachusetts Institute of Technology, Civil and Environmental Engrg., 77 Mass. Ave Room 1-272, Cambridge, MA, 02139, United States, 617 452 2750
Adri van Duin
Affiliation:
duin@caltech.edu, California Institute of Technology, Division of Chemistry and Chemical Engineering, Pasadena, 91125, United States
William A. Goddard III
Affiliation:
wag@wag.caltech.edu, California Institute of Technology, Division of Chemistry and Chemical Engineering, Pasadena, 91125, United States
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Abstract

We report a study of dynamic cracking in a silicon single crystal in which the ReaxFF reactive force field is used for about 3,000 atoms near the crack tip while the other 100,000 atoms of the model system are described with a simple nonreactive force field. The ReaxFF is completely derived from quantum mechanical calculations of simple silicon systems without any empirical parameters. This model has been successfully used to study crack dynamics in silicon, capable of reproducing key experimental results such as orientation dependence of crack dynamics (Buehler et al., Phys. Rev. Lett., 2006). In this article, we focus on crack speeds as a function of loading and crack propagation mechanisms. We find that the steady state crack speed does not increase continuously with applied load, but instead jumps to a finite value immediately after the critical load, followed by a regime of slow increase. Our results quantitatively reproduce experimental observations of crack speeds during fracture in silicon along the (111) planes, confirming the existence of lattice trapping effects. We observe similar effects in the (110) crack direction.

Type
Research Article
Copyright
Copyright © Materials Research Society 2006

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References

1. Deegan, R.D., et al., Wavy and rough cracks in silicon. Phys. Rev. E, 2003. 67(6): p. 066209.Google Scholar
2. Cramer, T., Wanner, A., and Gumbsch, P., Energy dissipation and path instabilities in dynamic fracture of silicon single crystals. Phys. Rev. Lett., 2000. 85: p. 788791.Google Scholar
3. Cramer, T., Wanner, A., and Gumbsch, P., Crack Velocities during Dynamic Fracture of Glass and Single Crystalline Silicon. Phys. Status Solidi A, 1997. 164: p. R5.Google Scholar
4. Hauch, J.A., et al., Dynamic fracture in Single Crystal Silicon. Phys. Rev. Lett., 1999. 82: p. 3823–2826.Google Scholar
5. Holland, D. and Marder, M., Ideal brittle fracture of silicon studied with molecular dynamics. Phys. Rev. Lett., 1998. 80(4): p. 746.Google Scholar
6. Abraham, F.F., et al., Spanning the length scales in dynamic simulation. Computers in Physics, 1998. 12(6): p. 538546.Google Scholar
7. Bailey, N.P. and Sethna, J.P., Macroscopic measure of the cohesive length scale: Fracture of notched single-crystal silicon. Phys. Rev. B, 2003. 68(20): p. 205204.Google Scholar
8. Bazant, M.Z., Kaxiras, E., and Justo, J.F., Environment-Dependent Interatomic Potential for bulk silicon. Physical Review B-Condensed Matter, 1997. 56: p. 8542.Google Scholar
9. Swadener, J.G., Baskes, M.I., and Nastasi, M., Molecular Dynamics Simulation of Brittle Fracture in Silicon. Phys. Rev. Lett., 2002. 89(8): p. 085503.Google Scholar
10. Tersoff, J., Empirical interatomic potentials for carbon, with applications to amorphous carbon. Phys. Rev. Lett., 1988. 61(25): p. 28792883.Google Scholar
11. Stillinger, F. and Weber, T.A., Computer-simulation of local order in condensed phases of silicon. Phys. Rev. B, 1985. 31(8): p. 52625271.Google Scholar
12. Bernstein, N. and Hess, D.W., Lattice trapping barriers to brittle fracture. Physical Review Letters, 2003. 91(2).Google Scholar
13. Duin, A.C.T.v., et al., ReaxFF: A Reactive Force Field for Hydrocarbons. J. Phys. Chem. A, 2001. 105: p. 93969409.Google Scholar
14. Duin, A.C.T.v., et al., ReaxFF SiO: Reactive Force Field for Silicon and Silicon Oxide Systems. J. Phys. Chem. A, 2003. 107: p. 38033811.Google Scholar
15. Buehler, M.J., Duin, A.C.T.v., and Goddard, W.A., Multi-paradigm modeling of dynamical crack propagation in silicon using the ReaxFF reactive force field. Phys. Rev. Lett., 2006. 96(9): p. 095505.Google Scholar
16. Parker, S.G., Johnson, C.R., and Beazley, D., Computational steering software systems and strategies. IEEE Computational Science and Engineering, 1997. 4(4): p. 50599.Google Scholar
17. Becke, A.D., Density-function thermochemistry. 3. The role of exact exchange. J. Chem. Phys., 1993. 98(7): p. 56485652.Google Scholar
18. Abraham, F.F., et al., Simulating materials failure by using up to one billion atoms and the world's fastest computer: Work-hardening. P. Natl. Acad. Sci. USA, 2002. 99(9): p. 57835787.Google Scholar