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  • Article Published in Water Resources Research
    • July 2008
      Tartakovsky, A. M., G. Redden, P. C. Lichtner, T. D. Scheibe, and P. Meakin, "Mixing-induced precipitation: Experimental study and multi-scale numerical analysis," Water Resources Research, 44, W06S04, doi:10.1029/2006WR005725, 2008.
  • Pore-Scale Model Visualization on Cover of Workshop Report
    • July 2008


      A visualization of pore-scale flow created by PNNL's John Serkowski was used as the cover illustration for the report from the workshop "Scientific Impacts and Opportunities for Computing". Tim Scheibe served as a panelist at the workshop and contributed to the report.

  • Project Highlight on FCSD Website
    • April 2008
      Click on the bullet title above to view a brief research highlight focused on this project.
  • Publication In Press
    • April 2008
      Tartakovsky, A. M., D. M. Tartakovsky, T. D. Scheibe and P. Meakin, "Hybrid simulations of reaction-diffusion systems in porous media," accepted for publication in SIAM Journal on Scientific Computing, special issue on Computational Science and Engineering.
  • SciDAC Review Article
    • Spring 2008
      Project investigators Scheibe and Meakin contributed to an article on the subject of computational issues in subsurface science that appears in the Spring 2008 issue of SciDAC Review.
Pore-scale simulation image

Computational Hybrid Integration of Physical Processes across Scales (CHIPPS)

Hybrid Numerical Methods for Multiscale Simulations of Subsurface Biogeochemical Processes: In this SciDAC Science Application, we are developing an integrated multiscale modeling framework with the capability of directly linking different process models at continuum, pore, and sub-pore scales. These codes will be modified and/or developed using advanced high-performance component architectures and efficient parallel solvers, and will be integrated into a component-based workflow environment to facilitate seamless integration of codes operating at multiple scales with different physical, biological, and chemical conceptualizations appropriate to the needs of specific simulation problems.

Additional Information

Project Co-Investigators:

This project is supported by two Science Application Partnerships: