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Statistics and Data Sciences

Our mission is to develop cutting-edge statistical and information technologies and to bring quantitative rigor and efficiency to scientific investigations.

We conduct research in the analysis and exploration of data, the collection and organization of data, and decisions based on data. Our collaborative work concerns all stages of the scientific life cycle and utilizes computing platforms ranging from the desktop to large clusters and supercomputers. We team on projects ranging from small single discipline efforts to large multi-disciplinary and multi-institution partnerships.

Applied Statistics for the Office of Science (PowerPoint presentation)

Areas of application have included:

Chemistry, Biology and Genomics, Astrophysics, Climate, Environmental Science, National Security, Forensics, Simulation Science, Epidemiology, Fusion Science, Transportation and Automotive, Health and Safety, Grid Technologies, Manufacturing, Future Combat Systems, Remote Sensing, Computer Network Security

Group leader: Jeff Nichols (acting)
Email: nicholsja@ornl.gov
Phone: 865-574-6224
Fax: 865-574-6076
Secretary: Lois Thurston
Email: lzt@ornl.gov
Phone: 865-576-2029
Fax: 865-574-0680

Staff

PRESENTATIONS
Applied Mathematics
  George Ostrouchov ORNL Statistics and Data Sciences

If you have an interest in collaborating with us, contact Jeff Nichols, (865)574-6224.

 
   CSM Projects   
   Colossal Magneto Resistance   
   Compound Wavelet Matrix   
   Scalable First Principles Methods for Electronic Transport   
   Electronic Notebook   
   Earth System Grid   
   Functionally Graded Materials   
   New Fourier Transforms Methods   
   Statistical Physics of Fracture   
   Adaptive Mesh Refinement for Multiphysics Applications   
   High-Performance Circuit-Switched Networks   
   Packet-Switched and Circuit-Switched Networks   
   Infiniband Connections across the United States   
   Siemens Competition National Finals   
   Protein Dynamics   
     
  INCITE Funded Projects  
   An Integrated Approach to the Rational Design of Chemical Catalysts   
   Multidimensional Simulations of Core Collapse Supernovae   
   Predictive and accurate Monte Carlo based simulations for Mott insulators, cuprate superconductors, and nanoscale systems   
   Cellulosic Ethanol: Physical Basis of Recalcitrance to Hydrolysis of Lignocellulosic Biomass   
   Clean and Efficient Coal Gasifier Designs using Large-Scale Simulations   
   Climate-Science Computational End Station Development and Grand Challenge Team   
   Modeling Reactive Flows in Porous Media   
   Assessing Global Climate Response of the NCAR-CCSM3: CO2 Sensitivity and Abrupt Climate Change   
   Performance Evaluation and Analysis Consortium End Station   
   
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URL: http://www.csm.ornl.gov/statistics/index.html
Updated: Tuesday, 04-Dec-2007 11:36:38 EST

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