A critical analysis of Rayleigh-Taylor growth rates

By J. Glimm, J. Grove, Xiaolin Li, W. Oh, D. H. Sharps. 2001

189 citations recorded by the source corpus.

Subfields: Computational Mechanics, Nuclear and High Energy Physics, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/f73b2897f8520e1e5b2a63f39db11a83fdf2837b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Andrew W. Cook
2. Christoph Federrath
3. Paul M. Ricker
4. P. Ramaprabhu
5. M. Andrews
6. William H. Cabot
7. V. Gregory Weirs
8. Tomasz Plewa

In Nuclear and High Energy Physics

1. Christoph Federrath
2. Paul M. Ricker
3. Andrew W. Cook
4. P. Ramaprabhu
5. M. Andrews
6. William H. Cabot
7. Tomasz Plewa
8. G. Dimonte

In Ocean Engineering

1. P. Ramaprabhu
2. M. Andrews
3. William H. Cabot
4. Andrew W. Cook

Citations in the corpus

• On Validating an Astrophysical Simulation Code (2002, background): “Recent work on the Rayleigh-Taylor problem by Cook & Dimotakis (2001) and Glimm et al. (2001) indicates a sensitivity of simulation results to initial conditions and numerical diffusion effects.”
• The mixing transition in Rayleigh–Taylor instability (2004, background): “This could explain why experiments with immiscible fluids (Read 1984; Dimonte & Schneider 2000) and simulations employing front tracking (Glimm et al. 2001) appear to exhibit faster growth rates than cases with species diffusion (Dimonte et al. 2004).”
• Experimental investigation of Rayleigh–Taylor mixing at small Atwood numbers (2004, methodology): “Glimm et al. (2001) use a front-tracking algorithm in their three-dimensional simulations that yield a value of 0.07 comparable with experiments.”