General Information

Top of Page

James Glimm

Computational Scientist

Education

  • Columbia University, Mathematics, Ph.D.
  • Columbia University, Engineering, BA

Areas of Interest

  • Mathematical modeling
  • Large scale computing
  • Computational physics
  • Turbulence and mixing
  • Computational turbulent combustion

Professional Affiliations

  • American Mathematical Society (AMS)
  • Society for Industrial & Applied Mathematics (SIAM)
  • American Physical Society (APS)
  • Society of Petroleum Engineers (SPE)
  • American Academy of Arts and Science
  • National Academy of Sciences

Experience

  • Mathematical Theory
  • Mathematical Modeling
  • Physical Theory and Modeling
  • Numerical Methods
  • High Performance Computing
  • Turbulence
  • Statistical Physics and Quantum Field Theory

External Service

  • Distinguished Professor, SUNY at Stony Brook (1989-present)

Publications (since 2010)

Glimm, J. Reflections and prospectives. Bulletin of the American Mathematical Society 47(1): 127-136 (2010).

Kaman, T., Glimm, J., and Sharp, D. H. Initial Conditions for Turbulent Mixing Simulations. Condensed Matter Physics 13(4), 43401: 1-7 (2010).

Li, X., Glimm, J., Jiao, X., Peyser, C., and Zhao, Y. Study of Crystal Growth and Solute Precipitation through Front Tracking Method. Acta Mathematica Scientia 30(2): 377-390 (2010).

Lim, H., Iwerks, J., Glimm, J., and Sharp, D. H. Nonideal Rayleigh-Taylor Mixing. Proceedings of the National Academy of Sciences USA 107(29): 12786-12792 (2010).

Lim, H., Iwerks, J., Yu, Y., Glimm, J., and Sharp, D. H. Verification and Validation for Turbulent Mixing. Physica Scripta T142: 014014 (2010).

Lim, H., Yu, Y., Glimm, J., Li, X., and Sharp, D. H. Subgrid Models for Mass and Thermal Diffusion in Turbulent Mixing. Physica Scripta T142: 014062 (2010).

Lim, H., Yu, Y., Glimm, J., and Sharp, D. H. Nearly Discontinuous Chaotic Mixing. High Energy Density Physics 6(2): 223-226 (2010).

Lim, H., Yu, Y., Glimm, J., and Sharp, D. H. Mathematical, Physical and Numerical Principles Essential for Models of Turbulent Mixing. Nonlinear Conservation Laws and Applications, A. Bressan, G.-Q. Chen, M. Lewicka, and D. Wang, Editors, The IMA Volumes in Mathematics and its Applications, Vol. 153, Issue 2, pp. 405-413, Springer Science+Business Media, LLC (2011).

Bo, W., Liu, X., Glimm, J., Li, X. A Robust Front Tracking Method: Verification and Application to Simulation of the Primary Breakup of a Liquid Jet, SIAM Journal on Scientific Computing, (2011): pp. 1505-1524

Kaman, T., Lim, H., Yu, Y., Wang, D., Hu, Y., Kim, J.-D., Li, Y., Wu, L., Glimm, J., Jiao, X., Li, X.-L., Samulyak, R. A Numerical Method for the Simulation of Turbulent Mixing and its Basis In Mathematical Theory, International Conference to honour Professor E.F. Toro. In: Lecture Notes on Numerical Methods for Hyperbolic Problems, Theory and Applications: Short Course Book. CRC/Balkman, London (2011) pp. 105-129.

Chen, G.-Q., Glimm, J. Kolmogorov’s theory of turbulence and inviscid limit of the Navier-Stokes equations in R3. Commun. Math. Phys., 310:267–283 (2012).

Kaman, T., Kaufman, R., Glimm, J., Sharp, D. H. Uncertainty quantification for turbulent mixing flows: Rayleigh-taylor instability. In A. Dienstfrey and R. Boisvert, editors, Uncertainty Quantification in Scientific Computing, volume 377 of IFIP Advances in Information and Communication Technology, pages 212–225. Springer (2012).

Lim, H., Kaman, T., Yu, Y., Mahadeo, V., Xu, Y., Zhang, H., Glimm, J., Dutta, S., Sharp, D. H., Plohr, B. A mathematical theory for LES convergence. Acta Mathematica Scientia, 32:237–258 (2012).

Zhou, Y., Ray, N., Lim, H., Wang, S., de Almeida, V. F., Glimm, J., Li, X.-L., Jiao, X. Development of a front tracking method for two-phase micromixing of incompressible viscous fluids with interfacial tension in solvent extraction. Technical Report ORNL/TM-2012/28, Oak Ridge National Laboratory (2012).

Ray, N., Wang, D., Jiao, X., Glimm, J. High-Order Numerical Integration over Discrete Surfaces, SIAM Journal on Numerical Analyses 50, pp. 3061-3083 (2012).

Iaccarino, G., Sharp, D., Glimm, J. Quantification of Margins and Uncertainties Using Conditional Probabilities and Multiple Gates, ICCOSAR (2013).

Wang, D., Jiao, X., Conley, R., Glimm, J. On the Curvature Effect of Thin Membranes, Journal of Computational Physics, 233, pp. 449-463 (2013).

Kaufman, Ryan, Kaman, T., Yu, Y., Glimm, J. Stochastic convergence and the software tool W. In Proceeding Book of International Conference to honour Professor E.F. Toro. CRC, Taylor and Francis Group (in press).

Kaman, T., Melvin, J. Melvin, Rao, P., Kaufman, R., Lim, H., Y. Yu, Glimm, J., Sharp, D. H. Recent progress in turbulent mixing. Physica Scripta (in press).

Glimm, J., Sharp, D. H., Kaman, T., and Lim, H.. New directions for Rayleigh-Taylor mixing. Philosophical Transactions of The Royal Society A: Turbulent mixing and beyond (in press).

Melvin, J., Rao, P., Kaufman, R., Lim, H., Yu, Y., Glimm, J., Sharp, D.H. Atomic Scale Mixing for Inertial Confinement Fusion Associated Hydro Instabilities, High Energy Density Physics (in press).

Sharp, D.H., Kaman, T., Lim, H., Glimm, J. New Directions for Rayleigh-Taylor Mixing, Philosophical Transactions of the Royal Society - A, (in press).