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Computational and Applied Mathematics. Oak Ridge National Laboratory. Rick K. Archibald. George I. Fann. Kody J.H. Law. ORNL based UTK joint faculty). Computational and Applied Mathematics. Principal research areas include:. Multi-scale methods, including atomistic-to-continuum coupling;. Computational kinetic theory;. Computational fluid dynamics and turbulence;. High-dimensional approximation theory;. Large-scale iterative methods for linear and eigenvalue problems;. Sparse methods for data analytics;.

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Computational and Applied Mathematics. Oak Ridge National Laboratory. Rick K. Archibald. George I. Fann. Kody J.H. Law. ORNL based UTK joint faculty). Computational and Applied Mathematics. Principal research areas include:. Multi-scale methods, including atomistic-to-continuum coupling;. Computational kinetic theory;. Computational fluid dynamics and turbulence;. High-dimensional approximation theory;. Large-scale iterative methods for linear and eigenvalue problems;. Sparse methods for data analytics;.
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1 about cam
2 members
3 seminars
4 projects
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6 feng bao
7 abdellah chkifa
8 ed d'azevedo
9 nicholas dexter
10 bredesen center student
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CAM | cam.ornl.gov Reviews

https://cam.ornl.gov

Computational and Applied Mathematics. Oak Ridge National Laboratory. Rick K. Archibald. George I. Fann. Kody J.H. Law. ORNL based UTK joint faculty). Computational and Applied Mathematics. Principal research areas include:. Multi-scale methods, including atomistic-to-continuum coupling;. Computational kinetic theory;. Computational fluid dynamics and turbulence;. High-dimensional approximation theory;. Large-scale iterative methods for linear and eigenvalue problems;. Sparse methods for data analytics;.

INTERNAL PAGES

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1

CAM

http://cam.ornl.gov/index.html

Computational and Applied Mathematics. Oak Ridge National Laboratory. Rick K. Archibald. George I. Fann. Kody J.H. Law. Computational and Applied Mathematics. The Computational and Applied Mathematics Group (CAM) is devoted the development, analysis and application of efficient numerical algorithms for solving large-scale scientific and engineering problems on advanced computer architectures. The Computational and Applied Mathematics Group is home the Householder Postdoctoral Fellowship.

2

CAM

http://cam.ornl.gov/seminars.html

Computational and Applied Mathematics. Oak Ridge National Laboratory. To subscribe to the CAM Seminar email list, send an email to CAM seminar@ornl.gov. With Subscribe in the subject line. Multiscale Model Reduction for Stochastic Partial Differential Equations. Dr Zhiwen Zhang, California Institute of Technology. 10:00AM - 11:00AM, Building 5700, Room L202. Multiscale Hybridizable DG methods for Flows in Porous Media. Dr Ke Shi, Texas A&M University. 10:00AM - 11:00AM, Building 5100, JICS Auditorium.

3

CAM

http://cam.ornl.gov/about.html

Computational and Applied Mathematics. Oak Ridge National Laboratory. The Computational and Applied Mathematics Group (CAM) is devoted the development, analysis and application of efficient numerical algorithms for solving large-scale scientific and engineering problems on advanced computer architectures. The Computational and Applied Mathematics Group is home the Householder Postdoctoral Fellowship. Principal research areas include:. Multi-scale methods, including atomistic-to-continuum coupling;.

4

CAM

http://cam.ornl.gov/pubs.html

Computational and Applied Mathematics Oak Ridge National Laboratory. Seleson, Pablo D. (ORNL): A Consistent Blending Scheme to Concurrently Couple Peridynamics and Classical Continuum Mechanics. Seleson, Pablo D. (ORNL), Littlewood, David (Sandia National Laboratory (SNL) : Convergence Studies of Meshfree Peridynamic Simulations. Book chapter or article. Archibald, Richard K. (ORNL), Gelb, Anne (Arizona State University), Platte, Rodrigo (Arizona State University): Image Reconstruction from Under sam...

5

CAM

http://cam.ornl.gov/members.html

Computational and Applied Mathematics. Oak Ridge National Laboratory. Richard K. Archibald. Cory Hauck has a Ph.D in applied mathematics from the University of Maryland. Dr. Hauck is interested in computational aspects of kinetic theory and hyperbolic balance laws, including moment methods, asymptotic analysis, and numerical schemes for multi-scale problems.

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Accelerating Data Acquisition, Reduction, and Analysis (ADARA)

http://www.csm.ornl.gov/newsite/adara.html

Computer Science and Mathematics Division. Engineering of Scientific Software. In transit Scientific Data Management. ORNL operates the world's brightest neutron source, the Spallation Neutron Source (SNS). Funded by the US DOE Office of Basic Energy Science. Architectural Overview of ADARA. Oak Ridge team builds new way to follow the bouncing neutrons. Neutron Science and Supercomputing Come Together at Oak Ridge National Lab. Computational Biomolecular Modeling and Bioinformatics.

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CSMD

http://www.csm.ornl.gov/newsite/chemistry.html

Computer Science and Mathematics Division. Engineering of Scientific Software. In transit Scientific Data Management. Soft Matter (contact Bobby Sumpter). Chemical Kinetics (contact Ariana Beste). Pyrolysis of Lignin Model Compounds (Contact Ariana Beste). Computational Biomolecular Modeling and Bioinformatics. Computational Engineering and Energy Sciences. Computational Chemical and Materials Sciences. Computational and Applied Mathematics. Accelerating Data Acquisition, Reduction, and Analysis at SNS.

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CSMD

http://www.csm.ornl.gov/newsite/cees.html

Computer Science and Mathematics Division. Engineering of Scientific Software. In transit Scientific Data Management. Computational Engineering and Energy Sciences. Our mission is to develop and implement high performance numerical algorithms to solve key problems in the areas of computational energy and engineering science. John A. Turner. Computational Biomolecular Modeling and Bioinformatics. Computational Engineering and Energy Sciences. Computational Chemical and Materials Sciences.

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CSMD

http://www.csm.ornl.gov/newsite/ft.html

Computer Science and Mathematics Division. Engineering of Scientific Software. In transit Scientific Data Management. Since 2004 we have worked in a wide range of areas, including:. Emerging architectures including GPUs, FPGAs, nonvolatile memory, and other alternative architectures. Productive programming environments including compilers, GAS programming models, and scalable runtime systems. Performance analysis, modeling, simulation, and prediction. Visualization of extreme scale data. Rishiraj Bheda, ...

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CSMD

http://www.csm.ornl.gov/newsite/computational.html

Computer Science and Mathematics Division. Engineering of Scientific Software. In transit Scientific Data Management. John Turner to provide. Video Link: Denovo, A Scalable HPC Transport Code for Multi-Scale Nuclear Energy Applications. In the area of nuclear energy, the Nuclear Modeling staff specializes in developing and applying computational methods and software for simulating radiation in order to support the design and safety of nuclear facilities, improve reactor core designs and nuclear fuel perf...

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CSMD

http://www.csm.ornl.gov/newsite/complex.html

Computer Science and Mathematics Division. Engineering of Scientific Software. In transit Scientific Data Management. The Complex Systems group conducts basic and applied research ranging from cooperating robots to quantum communications, including design and analysis of man-machine interfaces. A Braiman (braimana@ornl.gov). YY Braiman ( braimany@ornl.gov. GA D'Azevedo (dazevedoga@ornl.gov). J Droke (drokej@ornl.gov). JI Frankel (frankelji@ornl.gov). CW Glover ( glovercw@ornl.gov. Q Wu ( wuqn@ornl.gov.

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CSMD

http://www.csm.ornl.gov/newsite/energy.html

Computer Science and Mathematics Division. Engineering of Scientific Software. In transit Scientific Data Management. CAEBAT (Contact Sreekanth Pannala or John Turner). Website: http:/ energy.ornl.gov/CAEBAT/home/home.cgi. Engine Efficiency Fundamentals - Accelerating Predictive Simulation of IC Engines with High Performance Computing (Contact: Sreekanth Pannala or Robert Wagner). Consortium for Advanced Simulation of Light Water Reactors (CASL) - Thermal Hydraulics Methods. Oak Ridge is working closely ...

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CSMD

http://www.csm.ornl.gov/newsite/earth.html

Computer Science and Mathematics Division. Engineering of Scientific Software. In transit Scientific Data Management. Climate Science for a Sustainable Energy Future (CSSEF) (contact: Forrest Hoffmann). A focused effort for converting observational data sets into specialized, multi- variable data sets for model testing and improvement,. Development of model development testbeds in which model components and sub-models can be rapidly prototyped and evaluated,. DataONE (contact: John Cobb). DataONE is a cy...

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CSMD

http://www.csm.ornl.gov/newsite/materials.html

Computer Science and Mathematics Division. Engineering of Scientific Software. In transit Scientific Data Management. Energy Frontier Research Centers (EFRC). ORNL hosts two Energy Frontier Research Centers (EFRCs), the Fluid Interface Reactions, Structures, and Transport (FIRST) EFRC ( http:/ www.ornl.gov/sci/first/index.shtml. Cleaning Oil Spills with Nanotube Sponges - Carbon Nanotubes. Scientists at the US Department of Energy's (DOE) Oak Ridge National Laboratory (ORNL) have managed to use computati...

csm.ornl.gov csm.ornl.gov

CSMD

http://www.csm.ornl.gov/newsite/math.html

Computer Science and Mathematics Division. Engineering of Scientific Software. In transit Scientific Data Management. Traditional applications for kinetic modeling include dilute gases, plasmas, radiative transport, and multiphase flow. New and emerging applications include semi-classical descriptions of quantum mechanics, traffic and network modeling, and biological processes of self organization. In all these applications, kinetic transport shares a remarkably similar mathematical structure, fe...Devel...

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CAM

Computational and Applied Mathematics. Oak Ridge National Laboratory. Rick K. Archibald. George I. Fann. Kody J.H. Law. ORNL based UTK joint faculty). Computational and Applied Mathematics. Principal research areas include:. Multi-scale methods, including atomistic-to-continuum coupling;. Computational kinetic theory;. Computational fluid dynamics and turbulence;. High-dimensional approximation theory;. Large-scale iterative methods for linear and eigenvalue problems;. Sparse methods for data analytics;.

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