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AI/ML-Driven Multidisciplinary Design & Optimization (MDAO)

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Federal

Contract Overview

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The contract focuses on leveraging artificial intelligence and machine learning techniques to enhance the multidisciplinary design, analysis, and optimization of hypersonic systems. Its scope includes developing advanced capabilities to improve mission strategy, system performance, and manufacturability modeling, aiming to accelerate the overall development process of these complex aerospace systems. This effort is intended to integrate diverse disciplines within the design cycle to achieve superior optimization outcomes. Issued by the Office of Naval Research under the Department of Defense, the subcontract calls for expertise in NAICS code 541715, which pertains to research and development in engineering. The place of performance is Woodland Hills, CA, with proposals due by August 31, 2026. This opportunity emphasizes cutting-edge technological approaches to meet the demanding requirements of hypersonic vehicle systems, supporting national defense priorities through innovative AI and machine learning applications.

General Info

Develop AI/ML to optimize hypersonic system design, performance, and manufacturability by 2026.

Agency

Department Of Defense → Office Of Naval Research

NAICS

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

Place of Performance

Woodland Hills, CA, 91367, USA

Set-Aside

NONE

Documents

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Timeline

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Organization & Contact Information

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AgencyDepartment Of Defense → Office Of Naval Research
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Defense → Office Of Naval Research
Office AddressN/A
ContactsNo contact information available

Full Description

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Apply artificial intelligence and machine learning to accelerate multidisciplinary design, analysis, and optimization of hypersonic systems, including mission strategy and manufacturability modeling.

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Ames Research Center

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in almost 3 years

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