Growth Models and Models of Turbulence : A Stochastic Quantization Perspective
arXiv:cond-mat/0510172 · doi:10.1016/j.physleta.2005.11.085
Abstract
We consider a class of growth models and models of turbulence based on the randomly stirred fluid. The similarity between the predictions of these models, noted a decade earlier, is understood on the basis of a stochastic quantization scheme.
3 pages
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Cited by in corpus (5)
- Cell growth rate dictates the onset of glass to fluid-like transition and long time super-diffusion in an evolving cell colony
- On the origin of super-diffusive behavior in a class of non-equilibrium systems
- A path integral approach to the Langevin equation
- Interstitial flows regulate collective cell migration heterogeneity through adhesion
- Dynamical model of steadily forced isotropic turbulence