This Government Contract opportunity from Department Of Defense was posted on June 1, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Computational Modeling and Bioinformatics Analysis

Closed

Federal

Submission Closed06/12/2026, 07:00:00 PM UTC

Contract Overview

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

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NAICS: 541721

SBIR / STTR

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Causal Graph-Based AI Software DevelopmentThis subcontract under the NASA SBIR/STTR Program focuses on the development of AI-driven software utilizing causal graph techniques to analyze damage propagation from faults. The primary objective is to create a causal-model based methodology capable of distinguishing between functional failures and those induced by physical damage. The project is designated as a Total Small Business Set-Aside for firms with fewer than 500 employees, falling under NAICS code 541721. Performance for this contract is centered in Huntsville, Alabama, and is managed through the National Aeronautics and Space Administration.

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Mixed-Signal Block Development (PLL, ADC, DAC)This subcontract through the NASA SBIR/STTR Program focuses on the design and development of radiation-hardened, programmable mixed-signal blocks. The project specifically requires the creation of Phase-Locked Loops, Analog-to-Digital Converters, and Digital-to-Analog Converters engineered to function in extreme space environments while meeting strict high-speed and low-power specifications. The opportunity is designated as a Total Small Business Set-Aside, restricted to firms with fewer than 500 employees under the SBIR/STTR mandate. Performance for this contract is centered in Pasadena, California, under NAICS code 541721.

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Quantum Atomic Physics Modeling for RF EmissionThis subcontract, issued by the NASA SBIR/STTR Program, focuses on the development of quantum mechanical models to predict radiation spectra, power distribution, and emission efficiency from excited Rydberg atoms. The primary objective of this research is to advance the capabilities of VLF/ELF transmission through precise quantum atomic physics modeling for RF emission. The opportunity is designated as a Total Small Business Set-Aside under the SBIR/STTR mandate, requiring the recipient to have fewer than 500 employees. Performance for this project is centered in Greenbelt, Maryland, and falls under NAICS code 541721.

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Integrated Circuit (IC) Design & Specification FinalizationThis subcontract, issued by the NASA SBIR/STTR Program, focuses on the design and specification finalization of a radiation-hardened phase-shift PWM integrated circuit. The project requires the establishment of precise electrical, thermal, and packaging parameters to ensure the component can withstand high-power and high-voltage operations within extreme environments. The opportunity is designated as a Total Small Business Set-Aside under the SBIR/STTR mandate, restricting eligibility to firms with fewer than 500 employees. Performance for this contract is centered in Cleveland, Ohio, and falls under NAICS code 541721 for research and development in the physical, engineering, and life sciences.

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Magnetohydrodynamic (MHD) Simulation Software DevelopmentThis subcontract, issued by the NASA SBIR/STTR Program, focuses on the development of specialized application software designed to simulate and control metal behavior in microgravity environments. The project utilizes magnetohydrodynamic models to analyze and manage critical metallurgical processes, specifically focusing on melting, flow, forming, and cooling. The opportunity is designated as a total small business set-aside under NAICS code 541721, restricted to firms with fewer than 500 employees. Performance for this contract is centered in Huntsville, Alabama, and the initiative is managed through the National Aeronautics and Space Administration.

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Threat Characterization & Machine Learning AnalyticsThe contract seeks the development of AI and machine learning models designed to detect and classify unknown drone radio frequency signatures through adaptive learning and anomaly detection methodologies. The focus is on creating intelligent systems capable of recognizing novel and evolving drone threats by analyzing RF patterns that deviate from known norms, enabling real-time identification in dynamic operational environments. The work will involve robust algorithmic design, training on diverse RF datasets, and continuous model refinement to maintain accuracy against emerging drone technologies. This subcontract is issued under NAICS code 541721 for research and development in physical, engineering, and life sciences, and is managed by the Department of Defense through W6QK Acc-Apg Adelphi. The performance location is designated as West Fork, Arkansas, with a posting date of July 27, 2026. Although solicitation details and point of contact information are not provided, the contract emphasizes technical innovation in threat characterization and demands capabilities aligned with national defense objectives in autonomous drone detection and classification.

W6QK Acc-Apg Adelphi

POSTED

3 months ago

DEADLINE

N/A

AI Contract Overview

This contract focuses on the development of advanced computational models driven by artificial intelligence and machine learning to simulate biological systems and predict medical countermeasure efficacy, disease progression, and host responses to chemical, biological, radiological, and nuclear (CBRN) agents. The work involves integrating multi-omics datasets and experimental data to create robust systems biology simulations, aiming to enhance understanding and forecasting of complex biological interactions relevant to defense applications. Issued by the Department of Defense under NAICS code 541721, this subcontract opportunity was posted on June 1, 2026, with a response deadline of June 12, 2026. The contract emphasizes bioinformatics analysis and computational modeling to support national defense objectives by improving predictive capabilities for disease and treatment outcomes in response to CBRN threats. Specific geographic performance locations and organizational types are not disclosed, highlighting the technical and strategic nature of this engagement.

General Info

Develop AI-driven computational models simulating biological systems to predict CBRN agent effects.

Agency

Department Of Defense → W6QK Acc-Apg

NAICS

541721

Place of Performance

Set-Aside

NONE

Documents

This scope was carved out of W911SR-26-9-NAMS.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Request for Project Proposals: New Approach Methodologies (NAMs)

AI Contract Breakdown

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The breakdown needs solicitation documents. None were found from this contract's source.

Timeline

PhaseClosed

PostedJun 1

subcontract

Response DeadlineJun 12

Deadline has passed

Submission Closed

06/12/2026, 07:00:00 PM UTC

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Organization & Contact Information

AgencyDepartment Of Defense → W6QK Acc-Apg

ContactsNo contacts available

OfficeN/A

Organization / AgencyDepartment Of Defense → W6QK Acc-Apg

Office AddressN/A

ContactsNo contact information available

Full Description

Develop AI/ML-driven computational models and systems biology simulations to predict MCM efficacy, disease progression, and host responses to CBRN agents using multi-omics and experimental data.