Automated Discovery for Design and Control of Turbulent Systems (AutoDIDACTS)

SOL #: HR001126S0008Solicitation

Overview

Buyer

DEPT OF DEFENSE
Defense Advanced Research Projects Agency (Darpa)
DEF ADVANCED RESEARCH PROJECTS AGCY
ARLINGTON, VA, 222032114, United States

Place of Performance

Place of performance not available

NAICS

Research and Development in the Physical (541715)

PSC

National Defense R&D Services; Department Of Defense Military; Applied Research (AC12)

Set Aside

No set aside specified

Timeline

1
Posted
Apr 1, 2026
2
Submission Deadline
May 20, 2026, 4:00 PM

Qualification Details

Fit reasons
  • NAICS alignment with historical contract wins in similar service areas.
  • Scope strongly matches core technical capabilities and delivery model.
Risks
  • Past performance thresholds may require one additional teaming partner.
  • Potential clarification needed on staffing minimums before bid/no-bid.
Next steps

Validate eligibility requirements, assign capture owner, and schedule partner outreach to confirm teaming strategy before submission planning.

Quick Summary

The Defense Advanced Research Projects Agency (DARPA) is soliciting innovative proposals for the Automated Discovery for Design and Control of Turbulent Systems (AutoDIDACTS) program. This Broad Agency Announcement (BAA) seeks data-informed development of generalizable models and principles for aeronautical design and optimal control of turbulent systems, aiming for revolutionary advances rather than evolutionary improvements. Proposal abstracts are due April 15, 2026, and full proposals are due May 20, 2026.

Scope of Work

The program focuses on two primary areas for Phase I (24 months):

  • Development of macroscale design principles with greater generalizability and predictive capability across flow regimes and boundary conditions.
  • Development of predictive surrogate models suitable for design exploration and optimization across various airfoils, flow conditions, and multi-objective constraints. Key challenges include rigorous uncertainty quantification, model interpretability, and demonstration of universality. Proposals must address all Phase I goals; partial solutions will not be considered.

Contract & Timeline

  • Contract Type: Solicitation (Broad Agency Announcement)
  • Anticipated Award Instruments: Procurement contracts, cooperative agreements, or Other Transaction Agreements for Research.
  • Duration: Phase I is a 24-month base period. Phase II (24 months) will address future challenge problems.
  • Target Start Date: September 2026.
  • Proposal Abstract Due: April 15, 2026, at 4:00 p.m. ET
  • Question Submittal Closed: May 15, 2026, at 4:00 p.m. ET
  • Proposal Due: May 20, 2026, at 4:00 p.m. ET
  • Set-Aside: None specified; open to all responsible sources (U.S. and non-U.S.).

Evaluation

Proposals will be evaluated based on:

  • Overall Scientific and Technical Merit
  • Potential Contribution and Relevance to the DARPA Mission
  • Cost and Schedule Realism

Additional Notes

  • Multiple awards are anticipated, and collaboration among performers is expected.
  • Eligibility: All responsible sources are encouraged to submit, including Historically Black Colleges and Universities, Small Businesses, Small Disadvantaged Businesses, and Minority Institutions.
  • CMMC Requirement: Cybersecurity Maturity Model Certification (CMMC) Level 1 compliance is required for procurement contracts.
  • Mandatory Templates: Bidders must use provided templates for abstract submission (Attachment B & A), technical and management volume (Attachment D), cost volume (Attachment E & F), and proposal summary slides (Attachment C).
  • Contractual Framework: Model Other Transaction (OT) Agreement (Attachment G) and Associate Contractors Agreement (ACA) (Attachment H) are provided for review to understand terms and collaboration expectations.

People

Points of Contact

BAA CoordinatorPRIMARY

Files

Files

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Versions

Version 1Viewing
Solicitation
Posted: Apr 1, 2026
Automated Discovery for Design and Control of Turbulent Systems (AutoDIDACTS) | GovScope