Curtis Hamman

Curtis Hamman

Center for Turbulence Research
Department of Mechanical Engineering
Stanford University
Building 500, Room 500F
Stanford, CA 94305

Email:cwhamman@stanford.edu
Website:  http://www.stanford.edu/~cwhamman/

Background

My research involves the integration of mathematical and numerical analysis to better understand the physics of turbulent flows. Primary research interests include vorticity dynamics, parallel computing, and computational energy science. I am a Ph.D. student at the Center for Turbulence Research working with Professor Parviz Moin to develop numerical methods and turbulence models for advanced energy systems.

Education

Refereed Journal Publications

  1. C.W. Hamman, J.C. Klewicki and R.M. Kirby, ''On the Lamb vector divergence in Navier-Stokes Flows,'' Journal of Fluid Mechanics, Vol. 610 pp. 261-284, 2008.
  2. C.W. Hamman, R.M. Kirby and M. Berzins, ''Parallelization and scalability of a spectral element channel flow solver for incompressible Navier-Stokes equations,'' Concurrency and Computation: Practice and Experience, Vol. 19:10, pp. 1403-1422, 2007.

Conference Proceedings

  1. C.W. Hamman and P. Moin, The Sound of Boiling, DOE CSGF Annual Fellow's Conference, July 2009.
  2. C.W. Hamman, Atomic Power for Petascale Computing, Received Best Poster Award (1st Place), Stanford High Performance Computing Conference, August 2008.
  3. C.W. Hamman, Towards Predictive Simulation for Nuclear Energy Applications, Stanford High Performance Computing Conference, August 2008.
  4. C.W. Hamman and P. Moin, Fundamental Research Needs for Nuclear Energy Simulation, Stanford Thermal-Fluids Sciences Affiliates Conference, February 2008.
  5. C.W. Hamman, R.M. Kirby and J.C. Klewicki, On the Lamb vector divergence as a momentum field diagnostic employed in turbulent channel flow, 59th Annual Meeting of the American Physical Society, Division of Fluid Dynamics, Tampa Bay, FL, November 2006. [.pdf | .ps]

Invited Lectures

  1. C.W. Hamman, Predictive Parallel Performance Models for Petascale Platforms, Stanford High Performance Computing Seminar Series, May 2009.