DOE accelerated strategic computing initiative: challenges and opportunities for predictive materials simulation capabilities
Abstract
In response to the unprecedented national security challenges derived from the end of nuclear testing, the Defense Programs of the Department of Energy has developed a long-term strategic plan based on a vigorous Science-Based Stockpile Stewardship (SBSS) program. The main objective of the SBSS program is to ensure confidence in the performance, safety, and reliability of the stockpile on the basis of a fundamental science-based approach. A central element of this approach is the development of predictive, full-physics, full-scale computer simulation tools. As a critical component of the SBSS program, the Accelerated Strategic Computing Initiative (ASCI) was established to provide the required advances in computer platforms and to enable predictive, physics-based simulation technologies. Foremost among the key elements needed to develop predictive simulation capabilities, the development of improved physics-based materials models has been universally identified as one of the highest-priority, highest-leverage activity. We indicate some of the materials modeling issues of relevance to stockpile materials and illustrate how the ASCI program will enable the tools necessary to advance the state-of-the-art in the field of computational condensed matter and materials physics.
- Authors:
- Publication Date:
- Research Org.:
- Lawrence Livermore National Lab., CA (United States)
- Sponsoring Org.:
- USDOE, Washington, DC (United States)
- OSTI Identifier:
- 647019
- Report Number(s):
- UCRL-JC-128829; CONF-9707174-
ON: DE98053182; BR: DP0101031
- DOE Contract Number:
- W-7405-ENG-48
- Resource Type:
- Conference
- Resource Relation:
- Conference: Conference on fundamental phenomena in high-temperature materials, Santa Fe, NM (United States), 30 Jul - 2 Aug 1997; Other Information: PBD: 1 Oct 1997
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE; NUCLEAR WEAPONS; STORAGE; STABILITY; SECURITY; RELIABILITY; COMPUTERIZED SIMULATION; ACTINIDES; THERMODYNAMICS; HYDROGEN; CHEMICAL EXPLOSIVES; PLASTICITY
Citation Formats
Mailhiot, C. DOE accelerated strategic computing initiative: challenges and opportunities for predictive materials simulation capabilities. United States: N. p., 1997.
Web.
Mailhiot, C. DOE accelerated strategic computing initiative: challenges and opportunities for predictive materials simulation capabilities. United States.
Mailhiot, C. Wed .
"DOE accelerated strategic computing initiative: challenges and opportunities for predictive materials simulation capabilities". United States.
doi:. https://www.osti.gov/servlets/purl/647019.
@article{osti_647019,
title = {DOE accelerated strategic computing initiative: challenges and opportunities for predictive materials simulation capabilities},
author = {Mailhiot, C.},
abstractNote = {In response to the unprecedented national security challenges derived from the end of nuclear testing, the Defense Programs of the Department of Energy has developed a long-term strategic plan based on a vigorous Science-Based Stockpile Stewardship (SBSS) program. The main objective of the SBSS program is to ensure confidence in the performance, safety, and reliability of the stockpile on the basis of a fundamental science-based approach. A central element of this approach is the development of predictive, full-physics, full-scale computer simulation tools. As a critical component of the SBSS program, the Accelerated Strategic Computing Initiative (ASCI) was established to provide the required advances in computer platforms and to enable predictive, physics-based simulation technologies. Foremost among the key elements needed to develop predictive simulation capabilities, the development of improved physics-based materials models has been universally identified as one of the highest-priority, highest-leverage activity. We indicate some of the materials modeling issues of relevance to stockpile materials and illustrate how the ASCI program will enable the tools necessary to advance the state-of-the-art in the field of computational condensed matter and materials physics.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Oct 01 00:00:00 EDT 1997},
month = {Wed Oct 01 00:00:00 EDT 1997}
}