Renormalization group theory for fluid and plasma turbulence

Y Zhou - Physics Reports, 2010 - Elsevier
For the last several decades, renormalization group (RG, or RNG) methods have been
applied to a wide variety of problems of turbulence in hydrodynamics and plasma physics. A …

Perspective on theories of non-Fickian transport in heterogeneous media

SP Neuman, DM Tartakovsky - Advances in Water Resources, 2009 - Elsevier
Subsurface fluid flow and solute transport take place in a multiscale heterogeneous
environment. Neither these phenomena nor their host environment can be observed or …

Model error, information barriers, state estimation and prediction in complex multiscale systems

AJ Majda, N Chen - Entropy, 2018 - mdpi.com
Complex multiscale systems are ubiquitous in many areas. This research expository article
discusses the development and applications of a recent information-theoretic framework as …

Cumulant methods for electron-phonon problems. II. The self-consistent cumulant expansion

PJ Robinson, IS Dunn, DR Reichman - Physical Review B, 2022 - APS
In this paper we present a self-consistent cumulant expansion (SC-CE) and investigate its
accuracy for the one-dimensional Holstein model with and without phonon dispersion. We …

Predicting fat-tailed intermittent probability distributions in passive scalar turbulence with imperfect models through empirical information theory

D Qi, AJ Majda - Communications in Mathematical Sciences, 2016 - nyuscholars.nyu.edu
Modelling extreme events is a central issue in climate science and engineering. The
capacity of imperfect models to capture intermittent behavior with fat-tailed probability …

Modelling of block-scale macrodispersion as a random function

FPJ De Barros, Y Rubin - Journal of Fluid Mechanics, 2011 - cambridge.org
Numerical modelling of solute dispersion in natural heterogeneous porous media is facing
several challenges. Amongst these we highlight the challenge of accounting for high …

Forecasting turbulent modes with nonparametric diffusion models: Learning from noisy data

T Berry, J Harlim - Physica D: Nonlinear Phenomena, 2016 - Elsevier
In this paper, we apply a recently developed nonparametric modeling approach, the
“diffusion forecast”, to predict the time-evolution of Fourier modes of turbulent dynamical …

Self-consistent four-point closure for transport in steady random flows

M Dentz, DM Tartakovsky - Physical Review E—Statistical, Nonlinear, and Soft …, 2008 - APS
Ensemble averaging of advection-dispersion equations describing transport of a passive
scalar in incompressible random velocity fields requires a closure approximation. Commonly …

A comparison of closures for stochastic advection-diffusion equations

KD Jarman, AM Tartakovsky - SIAM/ASA Journal on Uncertainty Quantification, 2013 - SIAM
Perturbation-based moment equations for advection-diffusion equations with random
advection have been shown to produce physically unrealistic multimodality. Despite …

Wave turbulent diffusion due to the Doppler shift

AM Balk - Journal of Statistical Mechanics: Theory and …, 2006 - iopscience.iop.org
Turbulent diffusion of a passive tracer caused by a random wavefield is believed to be
quadratic with respect to the energy spectrum ε k of the velocity field (ie proportional to …