Closed · DE-FOA-0002068 · CFDA 81.124 · Discretionary

Predictive Science Academic Alliance Program III (PSAAP III)

Federal grant opportunity posted by NNSA, cataloged on Grants.gov.

$2.5M-$5M
Award range
Closed
Status
June 7, 2019
Close date
4
Expected awards

The verdict

Predictive Science Academic Alliance Program III (PSAAP III) is a closed discretionary listing from NNSA that offered $2,500,000 -- $5,000,000 across 4 expected awards. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 26 other opportunities from NNSA.

$2.5M-$5M
award range
Closed
application status
4
expected awards
81.124
CFDA program

Archived opportunity record

Predictive Science Academic Alliance Program… is closed (last close June 7, 2019). Check the agency catalog for replacement NOFOs. NNSA still indexes 26 other opportunities here.

According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.

Deadline tracker

Application window closed

Closed June 7, 2019

Posted Apr 23 Closes Jun 7

Est. Total Funding

$100,000,000

Expected Awards

4

Instrument

Cooperative Agreement

Cost Sharing

Required

Description

Predictive Science is potentially applicable to a variety of fields, including nuclear weapons, efficient manufacturing, biological systems, nanoscale material science, organic chemical processes, climate modeling, etc. Success in these simulations requires both software and algorithmic frameworks for integrating multiple disciplines into a single application and adding significant disciplinary strength and depth to make that integration effective. Applications should conduct computer science research in areas that will contribute to the advancement of Exascale computing technologies and demonstrate the results in the context of the chosen application. The FOA contains topics that are of particular interest to the NNSA National Laboratories as they move towards Exascale computing. Other topics that will enable the advancements in Exascale computing are encouraged as well. More details are contained in the FOA.

Multi-door applicant board · 2 Grants.gov types

Grants.gov prints 2 distinct applicant types for Predictive Science Academic Alliance Program… (Public / state-controlled institutions of higher education; Private institutions of higher education). Filter fit against the official announcement before drafting. Applicant cost-sharing is required on the Grants.gov extract. Instrument: Cooperative Agreement. Funding-activity code maps to Science and Technology / R&D (ST). This eligibility-code string dominates the NNSA book (10 peers, 37% of 27).

Code 06
Public / state-controlled institutions of higher education
Code 20
Private institutions of higher education

Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

Contracting Officer Erwin E. Fragua 505-845-6442 Erwin.Fragua@nnsa.doe.gov

What to do next

Predictive Science Academic Alliance Program… is closed; use the parent program and agency catalog for the next funding cycle.

  • Browse open federal opportunities in the same category when this listing is closed. Open opportunities
  • Look up CFDA 81.124 across all indexed listings before you commit to this opportunity alone. Eligibility finder
  • Compare award ranges across federal categories before you pick a single CFDA. All categories

Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.

Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.

Read our methodology - how this data is sourced, computed, and verified.

Data sourced from the SAM.gov Assistance Listings and Grants.gov. See our methodology for details. Retrieved and formatted by PlainGrants