Alliances

The ASC Predictive Science Academic Alliance Program (PSAAP) centers focus on the emerging field of predictive science—the application of verified and validated computational simulations to predict the behavior of complex systems where routine experiments are not feasible. The centers focus on unclassified applications of interest to the National Nuclear Security Administration (NNSA) and its three national laboratories: LLNL, LANL, and SNL. The PSAAP centers develop not only the science and engineering models and software for their large-scale simulations but also pursue advanced computer science developments needed to enable such sophisticated simulations on the next generation of computing platforms. They are also integrating state-of-the-art practices in verification and validation (V&V) and uncertainty quantification (UQ) into their integrated simulation plans so that precise statements can be made about the degree of confidence they have in their simulation-based predictions. 

Recognizing the need for a healthy pipeline of top graduate students in science and technology fields, which is crucial to the success of ASC, two complementary graduate fellowship programs, both administered by the Krell Institute, are supported.

PSAAP III Centers

Multidisciplinary Simulation Centers

	University of Colorado at Boulder Center for Micromorphic Multiphysics Porous and Particulate Materials Simulations with Exascale Computing Workflows
	University of Illinois Center for Exascale-Enabled Scramjet Design
	University of Texas at Austin Exascale Predictive Simulation of Inductively Coupled Plasma Torches
	Stanford University Integrated Simulations using Exascale Multiphysics Ensembles

Single-Discipline Centers

	University at Buffalo Center for Exascale Simulation of Hybrid Rocket Motors
	Massachusetts Institute of Technology Center for the Exascale Simulation of Material Interfaces in Extreme Environments

Focused Investigatory Centers 

	University of Maryland Solution-Verification, Grid-Adaption and Uncertainty Quantification for Chaotic Turbulent Flow Problems
	University of New Mexico Center for Understandable, Performant Exascale Communication
	Oregon State University Center for Exascale Monte Carlo Neutron Transport

Contacts

Ana Kupresanin, Lawrence Livermore National Laboratory (kupresanin1 [at] llnl.gov (kupresanin1[at]llnl[dot]gov))

Fernando Grinstein, Los Alamos National Laboratory (fgrinstein [at] lanl.gov (fgrinstein[at]lanl[dot]gov))

John Feddema, Sandia National Laboratories (jtfedde [at] sandia.gov (jtfedde[at]sandia[dot]gov))

Archive

Refer to the PSAAP site archvies for historical information.