1 / 13

Ageing of the 2+1 dimensional Kardar-Parisi Zhang model

Ageing of the 2+1 dimensional Kardar-Parisi Zhang model Géza Ódor , Budapest (MTA-TTK-MFA) Jeffrey Kelling, S. Gemming Dresden ( H ZD R ) ,. MECO39 Coventry 08 / 04 /201 4. www.mfa.kfki.hu/ ~ odor. The K ardar- P arisi- Z hang ( KPZ ) equation.

enrico
Télécharger la présentation

Ageing of the 2+1 dimensional Kardar-Parisi Zhang model

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. Ageing of the 2+1 dimensional Kardar-Parisi Zhang model Géza Ódor, Budapest(MTA-TTK-MFA)Jeffrey Kelling, S. GemmingDresden (HZDR), MECO39 Coventry08/04/2014 www.mfa.kfki.hu/~odor

  2. The Kardar-Parisi-Zhang (KPZ) equation th(x,t) = 2h(x,t) +λ ( h(x,t))2 + (x,t)‏ σ: (smoothing) surface tension coefficient λ :local growth velocity, up-down anisotropy η : roughens the surface by a zero-average, Gaussian noise field with correlator:<(x,t) (x',t')> = 2 D d (x-x')(t-t')‏ Fundamental model of non-equilibrium surface physicsRecent interest : Solvability in 1+1 dim, experimental realizations in 2+1 d Simple scaling of the surface growth:Interface Width: Exhibits simple power-laws:

  3. Mapping of KPZ onto ASEP in 1d • Attachment (with probability p) and • Detachment (with probability q) • Corresponds to anisotropic diffusion of particles (bullets) along the 1d base space (Plischke & Rácz 1987) The simple ASEP (Ligget '95)is an exactly solved 1d lattice gas Many known features: response to disorder, different boundary conditions ... are known. Widespread application in biology Kawasaki' exchange of particles

  4. Mapping of KPZ growth in 2+1 d • Generalized Kawasaki update: • Octahedron modelDriven diffusive gas of pairs (dimers) • G. Ódor, B. Liedke and K.-H. Heinig, PRE79, 021125 (2009) • G. Ódor, B. Liedke and K.-H. Heinig, PRE79, 031112 (2010) • Surface pattern formation via dimer model • G. Ódor, B. Liedke and K.-H. Heinig, PRE79, 051114 (2010)

  5. CUDA code for 2d KPZ • Each 32-bit word storesthe slopes of 4 x 4 sites • Speedup230 x (Fermi)with respect a CPUcore of 2.8 GHz up to:131072 x 131972 size J. Kelling and G. Ódor Phys. Rev. E 84 (2011) 061150

  6. Physical ageing in systems without detailed balance Known & practically used since prehistoric times (metals, glasses) systematically studied in physics since ~1970 Discovery : ageing effects are reproducible & universal !They occur in different systems: structural glasses, spin glasses, polymers, simple magnets, . . . Dynamical scaling, growing length scale: L(t) ~ t1/z Broken time-translation-invariance

  7. Two-time aging observables Time-dependent order-parameter field: (t; r) t : observation time, s : start time Scaling regime: Two-time correlator: Two-time response: a) System at equilibrium : fluctuation-dissipation theorem b) Far from equilibrium : C and R are independent !C, R, a, b can be independent

  8. Ageing in 1+1 d KPZ (Henkel, Noh & Pleimling 2012) Fluctuation-dissipation for: t>>s Different from equilibrium:

  9. Two-dimensional KPZ ageing simulations • Two-time integrated response for : • Sample A with pi = p0 = 0.98 deposition prob. for all times • Sample B with pi = p0 up to time s , and pi = p0 later

  10. Simulation results for the auto-correlation • Method is confirmed by restricting the communication to 1d • CPU and GPU results agree, but saturation for the latter for t/s large ageing exponent: b = -2 = -0.483(2) C /z = 1.21(1) + oscillations due to kinematic vawes simulation by Kerch (1997) : C ~ (t/s) -1.7 •  marginally supports Kallabis & Krug hypothesis: C = d,

  11. Universality (in permission with Timothy Halpin Healy) Completely new RSOS, KPZ Euler, and Directed Polymer in Random Medium (DPRM) simulations: 2014 EPL 105 50001 Full agreement

  12. Auto-response results Fast oscillating decay, Low signal/noise ratio, Very slow convergence GPU and CPU results agree and provide a = 0.3, R/z= 1.25(1) Fluctuation – Dissipation is broken weakly

  13. Conclusions & outlook • Fast parallel simulations due to mapping onto stochastic cellular automata (lattice gases) Extremely large scale (215 x 215) simulations on GPUs and CPUs GPU speedup ~230 with respect to a single CPU core Ageing exponents of 2+1 d KPZ are determined numerically This also describes the behavior of driven lattice gas of dimers Lack of fluctuation-dissipation is shown explicitly Generalization to higher dimensions is straightforward Local Scale Invariance hypothesis can be tested • Acknowledgements: DAAD-MÖB, OTKA, OSIRIS FP7, NVIDIA Publications:H. Schulz, G. Ódor, G. Ódor, M. F. Nagy, Computer Physics Communications 182 (2011) 1467. J. Kelling and G. Ódor, Phys. Rev. E 84, 061150 (2011), G. Ódor, B. Liedke, K.-H. Heinig J. Kelling, Appl. Surf. Sci. 258 (2012) 4186R. Juhász, G. Ódor, J. Stat. Mech. (2012) P08004J. Kelling, G. Ódor, M. F. Nagy, H. Schulz and K. -H. Heinig, EPJST 210 (2012) 175-187 G.Ódor, J. Kelling, S. Gemming, Phys. Rev. E 89, 032146 (2014)

More Related