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computational materials science Bruce Harmon is in the middle of a mission to both ease and advance the design, processing and production of better materials with more desirable properties. But he's not alone in the endeavor. It's a team effort that relies on people power and the super power of today's massively parallel computing machines.
Recognizing the tremendous potential computational modeling has for advanced materials development, Harmon, deputy director of DOE's Ames Laboratory and director of its Condensed Matter Physics Program, helped create and now serves as one of the coordinators for the new Computational Materials Sciences Network funded through DOE's Basic Energy Sciences office.
The CMSN resulted from interactions between Harmon and Iran Thomas, director of the BES Division of Materials Sciences, as well as the other CMSN coordinators: Chuck Henager of Pacific Northwest National Laboratory, Malcolm Stocks of Oak Ridge National Laboratory and Ellen Stechel of Ford Motor Co.
On Feb. 3, the CMSN coordinators launched the network at a special organizational workshop in Germantown, Md. The workshop brought together scientists from DOE labs, academia, industry and other government labs to formulate challenging materials science projects that could best be pursued through broad cooperative efforts.
"The materials science community has always operated in very small groups-single investigators or small collaborative efforts," Harmon says. "But larger, more complex problems require interdisciplinary teams. CMSN provides a means for the DOE community to coalesce and, if not speak with one voice, to at least work together where there's mutual interest in solving significant problems."
The opportunity has been well received. CMSN coordinators have already held three workshop meetings, and seven broad project categories have been identified for possible proposals to obtain network support:
"CMSN focuses on relevant, interesting and important science," Harmon continues. "These are not projects that someone could go back to his or her lab and do alone. They will require a concerted effort by a large number of people with different talents and different tools. To the extent that CMSN carries the excitement of the changes that are happening in computational materials science, we see projects like the ones we've identified not only being addressed, but being addressed with some degree of confidence that something valid will come out of it."
Submitted by DOE's Ames Laboratory
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Volume 30, May 17,
1999
Rev: Monday, 17-May-1999 14:43:29 EDT
- 526