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Dr. Eliot Fang

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Sandia National Laboratories
Buffalo, New York
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    2006 MRS Spring Meeting - Call for Papers/Symposium Z - [Cached Version]
    Published on: 12/6/2002    Last Visited: 11/3/2005  

    Invited speakers include (partial list): Dustin Carr and Eliot Fang (Sandia National Labs), R.G. Hoagland (Los Alamos National Lab), Luke Hsiung (Lawrence Livermore National Lab), Young Huang (Univ. of Illinois-Urbana), Oliver Kraft (Univ. of Karlsruhe, Germany), En Ma (Johns Hopkins Univ.), Raj Mohanty (Boston Univ.), Eric Stach (Purdue Univ.), Jerry Tersoff (IBM T.J. Watson Research Ctr.), Helena van Swygenhoven (Paul Scherrer Inst., Switzerland), Dieter Wolf (Argonne National Lab), and Boris Yakobson (Rice Univ.).

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    ACM TechNews (HTML) - [Cached Version]
    Published on: 6/14/2006    Last Visited: 4/5/2009  

    Computer-generated nanoscale simulations produce more detailed results than experiments, according to Sandia National Laboratories researcher Eliot Fang, attempting to refute the perception that computer models are generally unrealistic. Fang took issue with the widely held notion that overly generic inputs are unable to produce simulations containing the hidden details that are revealed in experiments. "There's another, prettier world beyond what the SEM [scanning electron microscope] shows, and it's called simulation," Fang said in a speech delivered to members of the Materials Research Society. "When you look through a microscope, you don't see some things that modeling and simulation show. Fang said the increased impact of simulation on scientific research is the natural product of advances in computing power.

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    Archives | Pagers News and Article Updates - [Cached Version]
    Published on: 6/1/2006    Last Visited: 11/5/2006  

    Nanotechnology simulations show what experiments miss. Taking issue with the perception that computer models lack realism, Sandia National Laboratories researcher Eliot Fang told members of the Materials Research Society that simulations of the nanoscale provide researchers more detailed results - not less - than experiments alone.

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    Conference - [Cached Version]
    Published on: 9/13/1999    Last Visited: 8/17/2000  

    Chair: Eliot Fang, Sandia National Laboratories Co-Chair: Cemal Basaran, State University of New York (SUNY) at Buffalo
    ...
    Yong Wei and C. L. Chow, University of Michigan - Dearborn; Michael K. Neilsen and H. Eliot Fang, Sandia National Laboratories

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    Lockheed Martin Celebrates Two Asian American... - [Cached Version]
    Published on: 2/27/2006    Last Visited: 2/27/2006  

    Emmanuel Zulueta, Sr. Vice President, Corporate Shared Services and Dr. Eliot Fang, Manager, Computational Materials Science and Engineering Department, Sandia National Laboratories, were two of 16 honorees this year.
    ...
    Fang is currently leading cutting-edge research into materials properties and performance prediction at Sandia National Laboratory.His achievements and those of his team have advanced understandings of materials behaviors across various length scales, from the arrangement of atoms at the atomic scale to engineering performance at the continuum scale.After earning a degree in mechanical engineering at the National Central University in Taiwan, he was an officer and instructor in the Chinese Army Ordnance School during his two-year government-required military service.He immigrated to the U.S. in his early twenties and enrolled at the University of California in Santa Barbara where his interest in materials science grew.Fang, now a naturalized U.S. citizen, ultimately earned his PhD specializing in materials science, engineering, solid mechanics and structure, and thermal sciences.

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    MRS Sections - [Cached Version]
    Published on: 5/21/2002    Last Visited: 11/25/2003  

    Eliot FangSandia National Lab

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    Planet Hilker: Tech - [Cached Version]
    Published on: 2/21/2005    Last Visited: 6/17/2006  

    Researcher Eliot Fang told an audience at a scientific conference that Sandia's latest simulations involving billions of atoms revealed insights they couldn't have gotten any other way.From Sandia: News Resources Releases 2006 Images C18 Fouled Huge Nr(Researcher Eliot) Fang derided the pejorative "garbage in, garbage out" description of computer modeling â€" the belief that inputs for computer simulations are so generic that outcomes fail to generate the unexpected details found only by actual experiment.

    Fang not only denied this truism but reversed it."There's another, prettier world beyond what the SEM [scanning electron microscope] shows, and it's called simulation," he told his audience."When you look through a microscope, you don't see some things that modeling and simulation show."

    This change in the position of simulations in science â€" from weak sister to an ace card â€" is a natural outcome of improvements in computing, Fang says.

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    ScienceDaily: Computers & Math -- Computer Science News - [Cached Version]
    Last Visited: 6/15/2006  

    'Prettier World' Of Computer Modeling Provides Key Details (June 13, 2006) -- Nanotechnology simulations show what experiments miss. Taking issue with the perception that computer models lack realism, Sandia National Laboratories researcher Eliot Fang told members of the ... > full story

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    w w w . j u a n s o . c o m >> the buzz - [Cached Version]
    Published on: 2/21/2005    Last Visited: 6/17/2006  

    Researcher Eliot Fang told an audience at a scientific conference that Sandia's latest simulations involving billions of atoms revealed insights they couldn't have gotten any other way.From Sandia: News Resources Releases 2006 Images C18 Fouled Huge Nr(Researcher Eliot) Fang derided the pejorative "garbage in, garbage out" description of computer modeling â€" the belief that inputs for computer simulations are so generic that outcomes fail to generate the unexpected details found only by actual experiment.

    Fang not only denied this truism but reversed it."There's another, prettier world beyond what the SEM [scanning electron microscope] shows, and it's called simulation," he told his audience."When you look through a microscope, you don't see some things that modeling and simulation show."

    This change in the position of simulations in science â€" from weak sister to an ace card â€" is a natural outcome of improvements in computing, Fang says.

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