Advanced Simulations and Computing Predictive Science Academic Alliance Program (PSAAP II)

The Advanced Simulation and Computing Program in the Office of Stockpile Stewardship, under Defense Programs within the Department of Energy?s (DOE) National Nuclear Security Administration (NNSA), created the Predictive Science Academic Alliance Program (PSAAP) to support fundamental science at U. S.


universities in the emerging field of predictive science.

Predictive Science is the development and application of verified and validated computational simulations, in a high-performance computing (HPC) environment, to predict the properties and dynamics of complex systems, with quantified uncertainty.This FOA includes a call for Cooperative Agreements to create either a Multidisciplinary Simulation Center (MSC) or a Single-Discipline Center (SDC) that will work toward solving a problem that advances basic science/engineering and Verification & Validation (V&V)/Uncertainty Quantification (UQ), and contributes towards achieving effective exascale computing, in order to demonstrate predictive science in an HPC environment.

While true exascale computing is not likely to be achieved during this program, the computer-science emphasis of the program is on resolving the critical issues that arise in reaching towards exascale, some of which are outlined in and phrase ?Exascale computing? used within this FOA refers to the next HPC paradigm shift to extreme, heterogeneous, multi-core on-node parallelism ? and not necessarily to any hardware or system at such scale.How MSCs and SDCs differ:
The overarching problem for an MSC will advance predictive science in a multi-disciplinary integrated application, multiscale in space and time, that is expected to be enabled by exascale computing.

The overall advance may require a combination of advances in some potentially exascale-enabled piece of science, integration science (see Integration Plan in Section C), or UQ science, together with wider use of state-of-the art V&V techniques.

An SDC will focus on scientific advances for a problem or challenge in a single discipline that is multiscale in space and time and is expected to be enabled by exascale computing.

The technical advance proposed must be compelling and significant, and make use of state of the art V&V/UQ techniques.

Both types of centers must demonstrate a verified, validated, predictive simulation capability for a specific, well defined application, system, or problem, with uncertainty quantification, using specific values of key parameters for that application, system, or problem.

The recipient is also expected to utilize fully integrated V&V/UQ in furthering predictive science.

Proposals are expected to include plans for advancing predictive science as an important area of academic research in the computational science and engineering community.Examples of the science areas of interest to NNSA and a discussion of V&V/UQ may also be found at and
Related Programs

Predictive Science Academic Alliance Program

Department of Energy

Agency: Department of Energy

Office: NNSA

Estimated Funding: $100,000,000

Obtain Full Opportunity Text:

Additional Information of Eligibility:
Not Available

Full Opportunity Web Address:

Delmeria M. Pacheco, Grants Management Specialist,

Agency Email Description:
NNSA/DOE Point of Contract for Questions

Agency Email:

Date Posted:

Application Due Date:

Archive Date:

Social Entrepreneurship

STREAT Helps Homeless Youth Gain Employment – One Meal at a Time

STREAT Helps Homeless Youth Gain Employment – One Meal at a Time

Cause Artist has provided a video featuring Tessa Cleary and Alice Pickin with STREAT, a social enterprise that offers quality food and coffee.

Unable to select database

More Federal Domestic Assistance Programs

Preventive Health Services_Sexually Transmitted Diseases Control Grants | Targeted Watersheds Grants | Child Care Access Means Parents in School | FHA Technical Assistance Training - Transformation Initiative | Children"s Health Insurance Program |  Site Style by YAML | | Grants | Grants News | Sitemap | Privacy Policy

Edited by: Michael Saunders

© 2004-2020 Copyright Michael Saunders