Contacts
ASC Program Director
Julia Phillips
(jmphill@sandia.gov)
(505) 844-1071
ASC Communications
Reeta Garber
(ragarbe@sandia.gov)
Related Links
ASC Management
ASC is involved in collaborations with universities and laboratories both foreign and domestic.
ASC interactions with Russia
The primary goal of the PSAAP is to establish validated, multidisciplinary, large-scale simulation-based “Predictive Science” as a major academic and applied research program. Five universities have been funded for five years to pursue simulation-based prediction of a complex multi-scale problem. The Program Statement lays out the goals for a multiyear program as follow-on to the present ASC Academic Strategic Alliance Program (ASAP) — see NNSA PSAAP link, below. “Predictive Science” is the application of verified and validated computational simulations to predict properties and dynamics of complex systems. This process is potentially applicable to a variety of applications, from nuclear weapons effects to efficient manufacturing, global economics, to a basic understanding of the universe. Each of these simulations requires the integration of a diverse set of disciplines; each discipline in its own right is an important component of many applications. Success requires software and algorithmic frameworks for integrating models and code from multiple disciplines into a single application, as well as significant disciplinary strength and depth to make that integration effective. But, overall, success requires coordinating the entire simulation capability around an uncertainty quantification methodology that will support making a quantifiably accurate prediction.
California Institute of Technology Center for the Predictive Modeling and Simulation of High Energy Density Dynamic Response of Materials
U. Michigan Center for Radiative Shock Hydrodynamics (CRASH)
Stanford Predictive Simulations of Multi-Physics Flow Phenomena, with Application to Integrated Hypersonic Systems
U. Texas Predictive Engineering and Computational Sciences (PECOS)
Alliance Strategic Team (AST): Thuc Hoang (NNSA, program manager); Robert Voigt (SAIC); Tina Macaluso (SAIC); John Aidun (SNL); Nelson Hoffman (LANL); Richard Watson (LLNL)
Tri-lab Support Teams (TST) –
Caltech:
SNL - Bill Rider(1431, V&V); Mel Baer (1500, SME)
LANL - Mark Anderson (V&V); Ed Kober (SME)
LLNL - Richard Klein (V&V); Kim Budil (SME, TST Lead)
Michigan CRASH:
SNL - Richard Hills (1544, V&V); Heath Hanshaw (1641, SME)
LANL - Francois Hemez (V&V); Don Haynes (SME, TST Lead)
LLNL - Brian Spears (V&V); Mike Zika (SME)
Purdue PRISM:
SNL - Kevin Dowding (1544, V&V); Dan Rader (1513, SME and TST Lead)
LANL – Ryan Maupin (V&V); Tim Germann (SME)
LLNL - Robert Ferencz (V&V); Christopher Spadaccini (SME)
Stanford:
SNL – Mike Eldred (1411, V&V); Jeff Payne (1515, SME)
LANL - David Sharp (V&V); John W. Grove (SME)
LLNL - Charles Tong(V&V); Dennis Hewett (SME)
Texas PECOS:
SNL - Jim Stewart (1411, V&V); Basil Hassan (1541, SME)
LANL - Dave Higdon (V&V); Malcolm J. Andrews (SME)
LLNL – Bryan Johnson (V&V); Bob Ferencz (SME)
External Review Team Members (Fall 2009) –
Caltech: Allen Robinson (1431, Integration)
Michigan CRASH: Jim Kamm (1431, Integration)
Purdue PRISM: Vicente Romero (1544, V&V)
Stanford: Marty Pilch (1551, V&V)
Texas PECOS: Gary Polansky (5424, SME)
Prior to PSSAP, NNSA funded five large university high performance computing projects under the ASAP. Participating universities developed new computational frameworks in the course of advancing several scientific areas. The goal was to integrate large computer models from the various disciplines into single, comprehensive models necessary to solve critical scientific and engineering problems.
The University of Illinois at Urbana-Champaign—Center for Simulation of Advanced Rockets (CSAR)
California Institute of Technology—Center for Simulations of Dynamic Response of Materials
Stanford University—Center for Integrated Turbulence Simulations
University of Chicago—ASC/Alliances Center for Astrophysical Thermonuclear Flashes
University of Utah—Center for the Simulation of Accidental Fires and Explosions (C-SAFE)