This Government Contract opportunity from National Aeronautics And Space Administration was posted on July 28, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Deep Learning Integration for Design Suggestion

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Federal

Submission Closed07/30/2026, 12:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541715

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FA7022 Amic Det 2 Ol Patrick Pka

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Solicitation # DARPA-PS-26-141

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Nnsa Non-Mo Cntrctng Operations Division

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Request for Proposal (RFP) - Resilient Missile Warning Tracking (RMWT) Low Earth Orbit (LEO) Ground Entry Points (GEPs)

Solicitation # FA240126R0003

The Space Development Agency is soliciting proposals under solicitation FA240126R0003 for the Resilient Missile Warning Tracking Low Earth Orbit Ground Entry Points effort. This acquisition is structured as an Indefinite Delivery Indefinite Quantity contract with a ceiling of 369 million dollars, covering the development, integration, test, operations, and maintenance of Tranche 3 Ground Entry Points at multiple globally dispersed locations. The scope of work encompasses civil engineering from detailed design through construction, the procurement and installation of communications shelters, antennas, optical terminals, and networking equipment, as well as the development of Ground Support Equipment and Auxiliary Development Units. The contract includes an ordering period from March 31, 2027, to September 30, 2031, with option periods extending through September 30, 2035. Award will be determined using a best value tradeoff process where technical, management, and past performance factors are combined and considered significantly more important than price. The technical evaluation focuses on the understanding of requirements, feasibility of approach, and scalability, while management is assessed based on project and schedule management, subcontractor oversight, and security handling. Proposals must be submitted in seven volumes via the DoD Secure Access File Exchange by 4:00 PM Eastern Time on November 23, 2026. Large business primes are required to meet a minimum quantitative requirement of 5 percent small business participation. The contract utilizes a mix of Firm Fixed Price for primary labor and materials and Cost Reimbursable arrangements for other direct costs and travel.

FA2401 Space Development Agency Sda

POSTED

about 22 hours ago

DEADLINE

in 26 days

AI Contract Overview

The contract seeks the development of a deep learning model to generate novel nozzle geometries by leveraging historical simulation data and real-time performance feedback, aiming to optimize fluid dynamics and propulsion efficiency. The project is a subcontract under the NASA Shared Services Center, tied to the National Aeronautics and Space Administration, with performance centered at Stennis Space Center, Mississippi, 39529. The initiative falls under NAICS code 541715, indicating it is focused on research and development in physical, engineering, and life sciences. The opportunity was posted on July 28, 2026, with a response deadline of July 30, 2026, underscoring a rapid procurement timeline. The model must effectively learn from prior computational fluid dynamics simulations and adaptively refine design suggestions based on live operational data, ensuring that proposed geometries are both innovative and viable for aerospace applications.

General Info

Develop deep learning model for novel nozzle geometries using simulation data and real-time feedback to optimize aerospace propulsion.

Agency

National Aeronautics And Space Administration → NASA Shared Services Center

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

Stennis Space Center, MS, 39529, USA

Set-Aside

NONE

Documents

This scope was carved out of 80NSSC26939857Q.

The full solicitation package (3 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Development of an automated design optimization workflow coupling deep-learning based tools with the existing Loci/CHEM suite for simulation of optimal aerospike nozzle design.