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Deep Learning Integration for Design Suggestion

Active

Federal

Response Deadline07/30/2026, 12:00:00 PM UTC

Contract Overview

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

AI Contract Overview

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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 CenterView Agency

NAICS

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

Place of Performance

Stennis Space Center, MS, 39529, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PostedJul 28

subcontract

Response DeadlineJul 30

Submission deadline

Response Deadline

07/30/2026, 12:00:00 PM UTCin 1 day

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Organization & Contact Information

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AgencyNational Aeronautics And Space Administration → NASA Shared Services Center

ContactsNo contacts available

OfficeN/A

Organization / Agency

National Aeronautics And Space Administration → NASA Shared Services Center

View Agency Profile

Office AddressN/A

ContactsNo contact information available

Full Description

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Develop a deep learning model to propose new nozzle geometries using historical simulation data and real-time performance feedback.

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