This grant, offered by the Department of Energy’s National Nuclear Security Administration (NNSA), is for supporting fundamental predictive science at U.S. universities. It aims to establish either Multidisciplinary Simulation Centers (MSCs) or Single-Discipline Centers (SDCs) through Cooperative Agreements. These centers will focus on developing and applying verified and validated computational simulations within a high-performance computing (HPC) environment. The core purpose is to advance basic science and engineering, focusing on Verification & Validation (V&V) and Uncertainty Quantification (UQ). Furthermore, the program seeks to contribute significantly towards achieving effective exascale computing. Projects must demonstrate a robust, predictive simulation capability for specific, well-defined applications or problems, fully integrating V&V/UQ, and promoting predictive science as a key academic research area.
Opportunity ID: 165334
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | DE-FOA-0000728 |
| Funding Opportunity Title: | Advanced Simulations and Computing Predictive Science Academic Alliance Program (PSAAP II) |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Cooperative Agreement |
| Category of Funding Activity: | Energy |
| Category Explanation: | – |
| Expected Number of Awards: | 6 |
| Assistance Listings: | 81.124 — Predictive Science Academic Alliance Program |
| Cost Sharing or Matching Requirement: | Yes |
| Version: | Synopsis 3 |
| Posted Date: | Apr 17, 2012 |
| Last Updated Date: | Jun 05, 2012 |
| Original Closing Date for Applications: | Jun 04, 2012 Applications must be received on Grants.gov by Monday 06/04/2012, 11:59:59 PM Eastern Time. |
| Current Closing Date for Applications: | Jun 11, 2012 Applications must be received on Grants.gov by Monday 06/11/2012, 11:59:59 PM Eastern Time. |
| Archive Date: | Sep 30, 2012 |
| Estimated Total Program Funding: | $100,000,000 |
| Award Ceiling: | $20,000,000 |
| Award Floor: | $3,000,000 |
Eligibility
| Eligible Applicants: | Private institutions of higher education Public and State controlled institutions of higher education |
| Additional Information on Eligibility: | – |
Additional Information
| Agency Name: | NNSA |
| Description: | 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 http://www.sandia.gov/ascppc/ReferenceMaterials.html andhttp://www.sandia.gov/ascppc/Presentations.html.The 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 http://www.sandia.gov/ascppc/ReferenceMaterials.html and http://www.sandia.gov/ascppc/Presentations.html |
| Link to Additional Information: | FedConnect |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
Delmeria M. Pacheco, Grants Management Specialist, 505-845-4381
Delmeria.Pacheco@nnsa.doe.gov Email:Delmeria.Pacheco@nnsa.doe.gov |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
| Jun 05, 2012 | ||
| Change Made: Application Due Date has been changed from June 4, 2012 to June 11, 2012. | Jun 05, 2012 | |
| Apr 30, 2012 |
DISPLAYING: Synopsis 3
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | DE-FOA-0000728 |
| Funding Opportunity Title: | Advanced Simulations and Computing Predictive Science Academic Alliance Program (PSAAP II) |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Cooperative Agreement |
| Category of Funding Activity: | Energy |
| Category Explanation: | – |
| Expected Number of Awards: | 6 |
| Assistance Listings: | 81.124 — Predictive Science Academic Alliance Program |
| Cost Sharing or Matching Requirement: | Yes |
| Version: | Synopsis 3 |
| Posted Date: | Apr 17, 2012 |
| Last Updated Date: | Jun 05, 2012 |
| Original Closing Date for Applications: | Jun 04, 2012 Applications must be received on Grants.gov by Monday 06/04/2012, 11:59:59 PM Eastern Time. |
| Current Closing Date for Applications: | Jun 11, 2012 Applications must be received on Grants.gov by Monday 06/11/2012, 11:59:59 PM Eastern Time. |
| Archive Date: | Sep 30, 2012 |
| Estimated Total Program Funding: | $100,000,000 |
| Award Ceiling: | $20,000,000 |
| Award Floor: | $3,000,000 |
Eligibility
| Eligible Applicants: | Private institutions of higher education Public and State controlled institutions of higher education |
| Additional Information on Eligibility: | – |
Additional Information
| Agency Name: | NNSA |
| Description: | 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 http://www.sandia.gov/ascppc/ReferenceMaterials.html andhttp://www.sandia.gov/ascppc/Presentations.html.The 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 http://www.sandia.gov/ascppc/ReferenceMaterials.html and http://www.sandia.gov/ascppc/Presentations.html |
| Link to Additional Information: | FedConnect |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
Delmeria M. Pacheco, Grants Management Specialist, 505-845-4381
Delmeria.Pacheco@nnsa.doe.gov Email:Delmeria.Pacheco@nnsa.doe.gov |
DISPLAYING: Synopsis 2
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | DE-FOA-0000728 |
| Funding Opportunity Title: | Advanced Simulations and Computing Predictive Science Academic Alliance Program (PSAAP II) |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Cooperative Agreement |
| Category of Funding Activity: | Energy |
| Category Explanation: | – |
| Expected Number of Awards: | 6 |
| Assistance Listings: | 81.124 — Predictive Science Academic Alliance Program |
| Cost Sharing or Matching Requirement: | Yes |
| Version: | Synopsis 2 |
| Posted Date: | Jun 05, 2012 |
| Last Updated Date: | – |
| Original Closing Date for Applications: | – |
| Current Closing Date for Applications: | Jun 11, 2012 Applications must be received on Grants.gov by Monday 06/11/2012, 11:59:59 PM Eastern Time. |
| Archive Date: | Sep 30, 2012 |
| Estimated Total Program Funding: | $100,000,000 |
| Award Ceiling: | $20,000,000 |
| Award Floor: | $3,000,000 |
Eligibility
| Eligible Applicants: | Private institutions of higher education Public and State controlled institutions of higher education |
| Additional Information on Eligibility: | – |
Additional Information
| Agency Name: | NNSA |
| Description: | 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 http://www.sandia.gov/ascppc/ReferenceMaterials.html andhttp://www.sandia.gov/ascppc/Presentations.html.The 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 http://www.sandia.gov/ascppc/ReferenceMaterials.html and http://www.sandia.gov/ascppc/Presentations.html |
| Link to Additional Information: | FedConnect |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
Delmeria M. Pacheco, Grants Management Specialist, 505-845-4381
Delmeria.Pacheco@nnsa.doe.gov Email:Delmeria.Pacheco@nnsa.doe.gov |
DISPLAYING: Synopsis 1
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | DE-FOA-0000728 |
| Funding Opportunity Title: | Advanced Simulations and Computing Predictive Science Academic Alliance Program (PSAAP II) |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Cooperative Agreement |
| Category of Funding Activity: | Energy |
| Category Explanation: | – |
| Expected Number of Awards: | 6 |
| Assistance Listings: | 81.124 — Predictive Science Academic Alliance Program |
| Cost Sharing or Matching Requirement: | Yes |
| Version: | Synopsis 1 |
| Posted Date: | Apr 30, 2012 |
| Last Updated Date: | – |
| Original Closing Date for Applications: | – |
| Current Closing Date for Applications: | Jun 04, 2012 Applications must be received on Grants.gov by Monday 06/04/2012, 11:59:59 PM Eastern Time. |
| Archive Date: | Sep 30, 2012 |
| Estimated Total Program Funding: | $100,000,000 |
| Award Ceiling: | $20,000,000 |
| Award Floor: | $3,000,000 |
Eligibility
| Eligible Applicants: | Private institutions of higher education Public and State controlled institutions of higher education |
| Additional Information on Eligibility: | – |
Additional Information
| Agency Name: | NNSA |
| Description: | 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 http://www.sandia.gov/ascppc/ReferenceMaterials.html and The 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. Examples of the science areas of interest to NNSA and a discussion of V&V/UQ may also be found at http://www.sandia.gov/ascppc/ReferenceMaterials.html and |
| Link to Additional Information: | FedConnect |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
Delmeria M. Pacheco, Grants Management Specialist, 505-845-4381
Delmeria.Pacheco@nnsa.doe.gov Email:Delmeria.Pacheco@nnsa.doe.gov |
Related Documents
There are no related documents on this grant.
Packages
| Agency Contact Information: | Delmeria M. Pacheco, Grants Management Specialist, 505-845-4381 Delmeria.Pacheco@nnsa.doe.gov Email: Delmeria.Pacheco@nnsa.doe.gov |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| 81.124 | DE-FOA-0000728 | PSAAP II | PKG00117111 | Apr 17, 2012 | Jun 11, 2012 | View |
Package 1
Mandatory forms
165334 RR_SF424_1_2-1.2.pdf
165334 RR_Budget-1.1.pdf
165334 PerformanceSite_1_4-1.4.pdf
165334 RR_KeyPersonExpanded_1_2-1.2.pdf
165334 RR_OtherProjectInfo_1_3-1.3.pdf
165334 RRSF424_SF424B-1.1.pdf
Optional forms
165334 RR_FedNonFedBudget-1.1.pdf
165334 RR_FedNonFed_SubawardBudget30-1.2.pdf
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