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BESAC Subcommittee on Theory and Computation

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Co-Chairs Bruce Harmon Ames Lab and Iowa State University Kate Kirby ITAMP, Harvard Smithsonian Center for Astrophysics Bill McCurdy University of ... – PowerPoint PPT presentation

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Title: BESAC Subcommittee on Theory and Computation


1
BESAC Subcommittee on Theory and Computation
  • Co-Chairs
  • Bruce Harmon Ames Lab and Iowa State University
  • Kate Kirby ITAMP, Harvard Smithsonian Center
    for Astrophysics
  • Bill McCurdy University of California, Davis,
    and Berkeley Lab

2
Charge to the Subcommittee
  • The subcommittee is to identify current and
    emerging challenges and opportunities for
    theoretical research within the scientific
    mission of Basic Energy Sciences, with particular
    attention paid to how computing will be employed
    to enable that research. A primary purpose of
    the subcommittee is to identify those investments
    that are necessary to ensure that theoretical
    research will have maximum impact in the areas of
    importance to Basic Energy Sciences, and to
    guarantee that BES researchers will be able to
    exploit the entire spectrum of computational
    tools, including the leadership class facilities
    contemplated by the Office of Science.

3
Timeline for preparation of the full subcommittee
report
  • February 22, 2004 First meeting of the
    subcommittee, prior to the February meeting of
    BESAC.
  • April 17-18, 2004 Subcommittee meeting in
    Chicago to take testimony and discuss preliminary
    ideas and findings
  • June 4, 2004 Letter report of the committee,
    delivered to John Hemminger and Pat Dehmer, for
    discussion at the August 5,6 meeting of BESAC.
  • July 30, 2004 First draft extended outline
    delivered to entire subcommittee on Theory and
    Computing in the Basic Energy Sciences
  • August 5 6, 2004 BESAC discussion of the
    preliminary report.
  • Fall meeting of BESAC Proposed final draft of
    the full report to be delivered to BESAC for its
    evaluation.
  • End of January, 2005 Final bound report to be
    delivered to the Office of Science and BES

4
Subcommittee Members
  • Roberto Car, Princeton U.
  • Peter Cummings, Vanderbilt U.
  • Jim Davenport, BNL
  • Thom Dunning, UT/ORNL
  • Bruce Garrett, PNNL
  • Chris Greene, U. of Colorado
  • Bruce Harmon, Ames Lab
  • Rajiv Kalia, USC
  • Kate Kirby, Harvard-Smithsonian Center for
    Astrophysics
  • Walter Kohn, UC-Santa Barbara
  • Carl Lineberger, U. of Colorado
  • Bill McCurdy, UC- Davis/LBNL
  • Mike Norman, ANL
  • Larry Rahn, Sandia/Livermore
  • Tony Rollett, Carnegie Mellon
  • Douglas Tobias, UC-Irvine
  • Stan Williams, Hewlett-Packard
  • Margaret Wright, Courant Institute, NY

5
Opportunities for Discovery Theory and
Computation in Basic Energy Sciences
  • Subcommittee on Theory and Computation
  • of the Basic Energy Sciences Advisory Committee
  • U.S. Department of Energy

6
Executive Summary I. A Confluence of Scientific
Opportunities Why Invest Now in Theory and
Computation in the Basic Energy Sciences?
A. Dramatic Progress in Theory and Modeling in
Chemistry and Materials Sciences B. New
Scientific Frontiers C. New Experimental
Facilities D. New Computational
Capabilities II. BES Community Input and
Assessment A. Subcommittee Expertise B. Testimony
of the Theory Community C. Questions Solicited of
the BES Community D. A Consensus Observation The
Unity of Theory and Computation in the Basic
Energy Sciences
7
  • III. Emerging Themes in BES Complexity and
    Control
  • A. Opportunities and Challenges in Complex
    Systems
  • B. Opportunities and Challenges in Quantum
    Control
  • Opportunities and Challenges in Control of
    Complex Systems
  • IV. Connecting Theory with Experiment at the DOE
    Facilities Accelerating Discoveries and
    Furthering Understanding
  • A Major Theme Expressed by Experimentalists and
    Theorists in the Basic Energy Sciences
  • V. The Resources Essential for Success in the BES
    Theory Enterprise
  • A. The Full Spectrum of Computational Resources
  • B. Supporting New Styles of Theory and
    Computation in the BES Portfolio Scientific
    Codes As Shared Instruments
  • The Human Resources Training Future Generations
    of Theorists
  • VI. Findings and Recommendations

8
I. A Confluence of Scientific Opportunities Why
Invest Now in Theory and Computation in the Basic
Energy Sciences?
  • ? Striking recent scientific successes of theory
    and modeling
  • ? The appearance of specific new scientific
    frontiers
  • ? The development and construction of new
    experimental facilities
  • ? The ongoing increase of computational
    capability, including the promise of new
    leadership-scale computational facilities.

9
Dramatic Progress in Theory and Computation
  • Density functional theory (DFT) has transformed
    theoretical chemistry, surface and materials
    science
  • Large-scale classical molecular dynamics has been
    able to treat motion of gt a million atoms
  • Discrete grid and wave-packet methods for
    treating atoms/molecules, e.g. in intense fields
  • A range of electronic structure methods have
    evolved coupled cluster, MBPT, QMC
  • First-principles spin dynamics elucidated
    mechanism of giant magnetoresistance and
    spintronic devices
  • Dynamical mean field theory (DMFT) successful in
    describing strongly correlated electronic states
  • Ab Initio molecular dynamics (Car-Parinello)
    treats motion of atoms and changes in electronic
    structure

10
New Scientific Frontiers
  • Nanoscience
  • Ultrafast Chemistry and Physics
  • Biomaterials and Biomimetic Systems
  • Coherent Control
  • Control of Quantum Coherence
  • Spintronics

11
New Experimental Facilities
  • Existing Light Sources APS (Argonne), ALS
    (LBL), and NSLS (Brookhaven), together with the
    new Linac Coherent Light Source under
    construction at SLAC, have created a growing wave
    of new experiments in chemistry, physics and
    materials science
  • Construction of the Spallation Neutron Source at
    ORNL (sched. Completion 2006)
  • Five Nanoscale Science Research Centers under
    design or construction
  • Needed an overall strategy and increased
    support for theoretical research to guide and
    respond to the experiments at these facilities.

12
New Computational Capabilities
  • Desktop workstations -- rapid growth in
    microprocessor speed (Moores Law)
  • Cluster computing -- tens or hundreds of
    processors linked together, and run by a single
    research group or department have helped to
    ready many disciplines within BES for massively
    parallel computing
  • Large-scale computing facilities -- operated by
    DOE and NSF (and others). Centers at NERSC
    (LBL), ORNL, and Argonne new facility at PNNL
    leadership-class facility at ORNL
  • BES research -- a major user of these facilities
  • BES community has demonstrated READINESS

13
II. BES Community Input Obtaining Testimony
from the Community
  • ? Open meeting, April 17, 2004 in Chicago area
    16 invited talks, plus panel discussions
  • ? Website established to collect input
    https//besac.nersc.gov
  • ? E-mails inviting input to website, or to
    co-chairs directly, to DAMOP, DCP, DMP, DCMP of
    APS
  • ? Announcement inviting input on ACS Division of
    Physical Chemistry home page

14
Questions asked of BES Community
  • In your field, what are the major scientific
    challenges?
  • In your area, do theory and computational science
    drive progress and/or partner with experiment?
  • How might progress in your field impact other
    areas within BES?
  • Are computing resources (hardware software) a
    limiting factor in your field?
  • Would support for development of new algorithms
    for high-end computer architectures be important?
  • Are there opportunities in your area to assemble
    interdisciplinary teams for attacking large
    problems?

15
Consensus Observation The Unity of Theory and
Computation in BES
  • Theory and computation should be viewed as a
    unity, not as competing parts of the BES
    portfolio
  • Theory enterprise in BES is heterogeneous, with
    respect to scientific problems, research group
    size and computational resources required
  • Ensuring the highest quality scientific return
    requires the complete spectrum of theory activity
    (from the single-PI groups to the large,
    interdisciplinary teams), coupled with access to
    appropriate computational resources.
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