1 / 15

Molecular Dynamics Simulation of Thermal Conduction over Silicon-Germanium Interface

Molecular Dynamics Simulation of Thermal Conduction over Silicon-Germanium Interface. Ruxandra Costescu Erica Saltzman Zhi Tang. Purpose. Thermal conductivity ( )  a measure of thermal transport

bianca
Download Presentation

Molecular Dynamics Simulation of Thermal Conduction over Silicon-Germanium Interface

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Molecular Dynamics Simulation of Thermal Conduction over Silicon-Germanium Interface Ruxandra Costescu Erica Saltzman Zhi Tang

  2. Purpose • Thermal conductivity ()  a measure of thermal transport •  behavior across interfaces is little-understood and drastically different from bulk behavior; interface thermal conductance (C) is significant for ultra-thin films (~100 nm). • Si and Ge are important to semiconductor and microelectronics industries

  3. Previous Research • Multilayer and superlattice structures have been investigated experimentally and through simulation, but the behavior across a single-interface remains poorly described and explained (4). • Several MD methods have been attempted: • Direct MD, which exhibits inefficient convergence (2) • Equilibrium MD, which is strongly dependent on the initial conditions and has a slowly-converging autocorrelation function (2). • MD with non-equilibrium thermodynamics (thermostat and zero-limited thermal force) yields best results (11).

  4. Geometry Visualization of silicon-germanium beam. Yellow spheres represent germanium atoms; green spheres represent silicon atoms. Hot and cold baths in silicon-germanium beam.

  5. Boundary Conditions • Periodic in lateral dimensions • Hard-wall in longitudinal dimension

  6. Temperature Regulations • Initial conditions: hot, cold, and intermediate temperatures • Velocity rescaling in hot and cold reservoirs

  7. Tersoff Potential Parameters

  8. Calculations

  9. Results Simulation results: Typical data • At 120 K Temperature profile Thermal flux

  10. Results Results Calculations • Thermal conductivity • NOTES: • In addition: one run at 77.1 K (with opposite direction of thermal gradient) and another run at 19.1K • Used: Fe= 0.2 Å-1 (2)

  11. Results Calculations • Interface conductance results

  12. Results Discussion • Si+Ge(MD) smaller than eq as expected and the right order of magnitude; but dependence on temperature unclear • DMM prediction of ~108 W/(m2 K) at 80 K reasonably close to calculated range of CSi/Ge • Our values range from ~ 2 - 5  107 W/(m2 K)  the right order of magnitude of C • Preliminary calculation for opposite direction of temp. gradient shows drastically different behavior (approximations fail?)

  13. Results Improvements & further study • Fe (“fictitious force”) • quantum correction • direction of temperature gradient • interface geometry • compare t.c. results to exactly equivalent experimental data

  14. References • 1. S.M. Lee, D.G. Cahill, and R. Venkatasubramanian, Appl. Phys. Lett. 70 22 (1997) 2957. • 2. S. Berber, Y.K. Kwon, and D. Tomanek, Phys. Rev. Lett. 84 20 (2000) 4613. • 3. D.G. Cahill, A. Bullen, and S.-M. Lee, High temp. - High press. 32 (2000) 134. • 4. S. Volz, J.B. Saulnier, G.Chen, and P. Beauchamp, Microelect. J. 75 14 (1999) 2056. • 5. J. Zi, K. Zhang and X. Xie, Appl. Phys. Lett. 57 2 (1990) 165. • 6. S.Q. Zhou, G. Chen, J.L. Liu, X.Y. Zheng, and K.L. Wang, HTD Proc. of ASME Heat Transfer Division 361-4 (1998) 249. • 7. M. Dornheim and H. Teichler, Phys. Stat. Sol. (A) 171 (1999) 267. • 8. M.A. Osman and D. Srivastava, Nanotechn. 12 (2001) 21. • 9. J. Che, T. Cagin, and W. A. Goddard, Nanotec. 11 (2000) 65. • 10. S.G. Volz and G. Chen, Appl. Phys. Lett. 75 14 (1999) 2056. • 11. A. Maeda and T. Munakata, Phys. Rev. E, 52 1 (1995) 234. • 12. A. Maiti, G.D. Mahan, and S.T. Pantelides, Solid-State Communications 102 7 (1997) 517. • 13. S. Petterson and G.D. Mahan, Phys. Rev. B, 42 12 (1990) 7386. • 14. R. Stoner and H.J. Maris, Phys. Rev. B, 48 22 (1993) 16373. • 15. E.T. Swartz and R.O. Pohl, Rev. Mod. Phys., 61 (1989) 605. • 16. S. Matsumoto, S. Munejiri, and T. Itami, National Space Development Agency of Japan, Space Utilization Program Document. Available URL: http://jem.tksc.nasda.go.jp/utiliz/surp/ar/diffusion/3_6_.pdf. • 17. J. Tersoff, Phys. Rev. B, 37 (1988) 6991. • 18. J. Tersoff, Phys. Rev. B, 39 (1989) 5566. • 19. D.W. Brenner, Phys. Rev. B, 42 (1990) 9458. • 20. Theoretical Biophysics Group, University of Illinois, "VMD - Visual Molecular Dynamics". Available URL: http://www.ks.uiuc.edu/Research/vmd.

More Related