James Glimm

Distinguished Professor of Applied Mathematics and Statistics
Department of Applied Mathematics and Statistics
State University of New York at Stony Brook
E-mail: glimm@ams.sunysb.edu
Page: http://www.aip.org/history/acap/biographies/bio.jsp?glimmj

Fields of interest: 

Computational fluid dynamics, turbulence, turbulent mixing and turbulent combustion, nonlinear conservation laws


Recent publications:

G. G. Iaccarino, R. Pecnik, J. Glimm and D. Sharp:
Towards a QMU approach for predicting the operating limits of air-breathing hypersonic vehicles,
Reliability Engineering and System Safety (2012), Submitted for Publication.

H. Lim, Y. Yu, J. Glimm and D. H. Sharp:
Subgrid Models for Mass and Thermal Diffusion in Turbulent Mixing,
Physica Scripta. T142 (2010).

H. Lim, J. Iwerks, J. Glimm, D. H. Sharp:
Nonideal Rayleigh-Taylor Mixing,
Proc. Nat. Ac. Sci. 107 (2010), 12786-12792.

H. Lim, J. Iwerks, J. Glimm, D. H. Sharp:
Verification and Validation of a Method for the Simulation of Turbulent Mixing,
Physica Scripta T142 (2010) 014014.

H. Lee, H. Jin, Y. Yu, J. Glimm:
On the Validation of Turbulent Mixing,
Phys. Fluids, 20 (2008), pp.1-8.

X. F. Liu, Y. H. Li, J. Glimm, X. L. Li:
A Front tracking Algorithm for Limited Mass Diffusion,
J. Comp. Phys. 222 (2007), 644-653.

E. George, J. Glimm, X. L. Li, Y. H. Li and X. F. Liu:
The Influence of Scale-Breaking Phenomena on Turbulent Mixing Rates,
Phys. Rev. E. 73 (2006) 016304, pp1-5.

X. F. Liu, E. George, W. Bo, J. Glimm: 
Turbulent Mixing with Physical Mass Diffusion,
Phys. Rev. E. 73 (2006), 056301-8–056301-8.

Y. Yu, M. Zhao, T. Lee, N. Pestieau, W. Bo, J. Glimm, J. Grove:
Uncertainty Quantification for Chaotic Computational Fluid Dynamics,
J. Comp. Phys., 217 (2006), 200-216.

B. Cheng, J. Glimm and D. H. Sharp:
A Three-Dimensional Renormalization Group Bubble Merger Model for Rayleigh-Taylor Mixing,
Chaos 12 (2002), 267- 274.