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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.

Embedded Optimization Algorithm Development

Closed
Federal

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The contract involves the development and integration of advanced optimization algorithms such as genetic and gradient-based methods to enhance the design of aerospike nozzles through iterative simulation feedback. The goal is to leverage computational modeling to refine nozzle geometry and performance metrics, ensuring improved efficiency, thrust, and thermal resilience under extreme conditions typical of rocket propulsion systems. This work requires close alignment with aerospace engineering principles and high-fidelity simulation tools to generate actionable design improvements. The contract is a subcontract under NASA’s Shared Services Center, specifically designated for work at Stennis Space Center, Mississippi, with a strict response deadline of July 30, 2026, and a posting date of July 28, 2026. It falls under NAICS code 541715, which categorizes research and development in the physical, engineering, and life sciences. The project demands technical expertise in algorithmic optimization, computational fluid dynamics, and aerospace system design, with an emphasis on delivering robust, validated solutions that directly inform next-generation propulsion architectures for NASA’s mission objectives.

General Info

Develop advanced optimization algorithms for aerospike nozzle design using computational modeling under NASA contract at Stennis Space 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.

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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.

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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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
Office AddressN/A
ContactsNo contact information available

Full Description

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Implement and integrate optimization algorithms (e.g., genetic, gradient-based) to guide aerospike nozzle design improvements using simulation feedback.

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