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Scientific Data Group

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: Scott Klasky
Email: klasky@ornl.gov
Phone: 865-241-9980
Fax: 865-241-2850
Group Secretary: Tammy Darland
Email: darlandts@ornl.gov
Phone: 865-574-1936
Fax: 865-241-4811


Applied Mathematics
  George Ostrouchov ORNL Statistics and Data Sciences

   CSM Projects   
   Advanced Simulation Capability for Environmental Management (ASCEM)   
   The Center for Simulation of RF Wave Interactions with Magnetohydrodynamics (SWIM)   
   Coordinated Infrastructure for Fault Tolerant Systems (CIFTS)   
   Hybrid Multi-Core Consortium   
   Integral Equation Technology   
   MADNESS (Multiresolution Adaptive Numerical Environment for Scientific Simulation)   
   NEAMS Integrated Computational Environment (NiCE)   
   Nuclear Energy Advanced Modeling and Simulation (NEAMS)   
   Reliability, Availability, and Serviceability (RAS) for Petascale High-End Computing and Beyond   
  INCITE Allocated Projects  
   Advanced Simulations of Plasma Microturbulence at the Petascale and Beyond   
   Cellulosic Ethanol: Simulation of Multicomponent Biomass System   
   Climate-Science Computational Development Team: The Climate End Station II   
   High-Fidelity Simulations for Advanced Engine Combustion Research   
   High Fidelity Tokamak Edge Simulation for Efficient Confinement of Fusion Plasma   
   Investigation of Multi-Scale Transport Physics of Fusion Experiments Using Global Gyrokinetic Turbulence Simulations   
   Magnetic Structure and Thermodynamics of Low Dimensional Magnetic Structures   
   Nuclear Structure and Nuclear Reactions   
   Performance Evaluation and Analysis Consortium End Station   
   Petascale Modeling of Chemical Catalysts and Interfaces   
   Three Dimensional Simulations for Core Collapse Supernovae   
   Ultrascale Simulation of Basin-Scale CO2 Sequestration in Deep Geologic Formations and Radionuclide Migration using PFLOTRAN   
   Uncertainty Quantification for Three-Dimensional Reactor Assembly Simulations   
   Understanding the Ultimate Battery Chemistry: Rechargeable Lithium/Air