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Applications of Real-Time Multiresolution Analysis for Molecular Dynamics Simulations of Infrequent Events

Published online by Cambridge University Press:  21 March 2011

David A. Richie
Affiliation:
The Ohio State University, 74 West 18th Avenue Columbus OH 43210, U.S.A.
Jeongnim Kim
Affiliation:
Department of Physics, The Ohio State University Columbus OH 43210, U.S.A.
John W. Wilkins
Affiliation:
Department of Physics, The Ohio State University Columbus OH 43210, U.S.A.
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Abstract

The simulation of defect dynamics (e.g., transient enhanced diffusion of boron in the presence of silicon interstitials) is a technologically relevant challenge for computational materials science. The dynamics of defect structures in bulk unfolds as a sequence of thermally induced structural transitions. Identifying and characterizing reaction paths, as well as extracting dynamical quantities (e.g., diffusion constants) is important for modeling the macroscopic properties of real materials. Applying real-time multiresolution analysis (RTMRA) to various dynamical quantities using simple Haar wavelets, we have developed a computationally cheap data compression scheme to handle the massive data sets generated in molecular dynamics (MD) simulations; data storage has been reduced hundredfold with no loss of relevant information. More importantly, the same RTMRA techniques are developed into a sophisticated event detection scheme capable of solving three major challenges to multiscale MD simulations, specifically, (1) identifying meta-stable structures against the background of thermal vibrations, (2) detecting infrequent events, e.g., structural transitions, in the presence of thermal noise, and (3) accurately identifying transition times to further enhance recently emerging MD acceleration techniques.

Type
Research Article
Copyright
Copyright © Materials Research Society 2001

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References

REFERENCES

1. Cowern, N.E.B. et al. , Phys. Rev. Lett. 82, 4460 (1999).Google Scholar
2. Arai, N., Takeda, S., and Kohyama, M., Phys. Rev. Lett., 78, 4265 (1997)Google Scholar
3. Kim, J., Kirchhoff, F., Aulbur, W.G., Wilkins, J.W., and Khan, F.S., Phys. Rev. Lett. 83, 1990 (1999).Google Scholar
4. Kim, J., Kirchhoff, F., Wilkins, J.W., and Khan, F.S., Phys. Rev. Lett. 84, 503 (2000).Google Scholar
5. Voter, A.F., Phys. Rev. Lett. 78, 3908 (1997).Google Scholar
6. Voter, A.F., Phys. Rev. B 57, 13985 (1998).Google Scholar
7. Sørensen, M.R. and Voter, A.F., J. of Chem. Phys. 112, 9599 (2000).Google Scholar
8. Steiner, M.M., Genilloud, P.-A., and Wilkins, J.W., Phys. Rev. B 57, 10236 (1998).Google Scholar
9. Mallat, S., Trans. Amer. Math. Soc. 315, 69 (1989).Google Scholar
10. Haar, A., Math. Ann. 69, 331 (1910);Google Scholar
11. Daubechies, I., Ten Lectures on Wavelets, (SIAM, Philadelphia, 1992).Google Scholar
12. For information regarding the TyphoonRT Wavelet Package, contact .Google Scholar
13. Beylkin, G., Coifman, R. and Rokhlin, V., Comm. on Pure and Applied Mathematics 44, 141 (1991).Google Scholar
14. Lenosky, T.J., Sadigh, B., Alonso, E., Bulatov, V.V., Rubia, T. Diaz de la, Kim, J., Voter, A.F. and Kress, J.D., Model. Simul. Mater. Sci. Eng. 8, 825 (2000).Google Scholar