activity
20052007
most citedLong Range Correlations in Granular Shear Flow I: Numerical Evidence

42 citations · 78 across the 4 of their papers we have counts for

collaborators

6 papers

physics.comp-ph20076 cited

Descriptor approach for eliminating spurious eigenvalues in hydrodynamic equations

M. Lisa Manning, B. Bamieh, J. M. Carlson

We describe a general framework for avoiding spurious eigenvalues -- unphysical unstable eigenvalues that often occur in hydrodynamic stability problems. In two example problems, w…

cond-mat.soft200630 cited

Long Range Correlation in Granular Shear Flow II: Theoretical Implications

Gregg Lois, Anael Lemaitre, Jean M. Carlson

Numerical simulations are used to test the kinetic theory constitutive relations of inertial granular shear flow. These predictions are shown to be accurate in the dilute regime, w…

cond-mat.soft200642 cited

Long Range Correlations in Granular Shear Flow I: Numerical Evidence

Gregg Lois, Anael Lemaitre, Jean M. Carlson

We investigate the emergence of long-range correlations in granular shear flow. By increasing the density of a simulated granular flow we observe a spontaneous transition from a di…

cond-mat.soft2006

Momentum Transport in Granular Flows

Gregg Lois, Anael Lemaitre, Jean M. Carlson

We investigate the error induced by only considering binary collisions in the momentum transport of hard-sphere granular materials, as is done in kinetic theories. In this process,…

physics.soc-ph2005

Highly optimized tolerance and power laws in dense and sparse resource regimes

M. Manning, J. M. Carlson, J. Doyle

Power law cumulative frequency vs. event size distributions are frequently cited as evidence for complexity and serve as a starting point for lin…

cond-mat.soft2005

Numerical Tests of Constitutive Laws for Dense Granular Flows

Gregg Lois, Anaël Lemaître, Jean M. Carlson

We numerically and theoretically study macroscopic properties of dense, sheared granular materials. In this process we first introduce an invariance in Newton's equations, explain…