Carderock BAA
20NSWC - Carderock - N00167
grants
2026-02-18
N/A
Team Fit
Brother's background in quantitative analysis and mathematical modeling could be relevant for the AI/ML aspects, but the overall fit is weak due to the specific naval focus.
AI Summary
The Carderock BAA focuses on advanced naval technologies including hydrodynamics, naval platform integrity, and unmanned systems, with an emphasis on AI/ML decision-making.
Scoring Rationale
While there are elements related to AI/ML that could potentially align with the team's interests, the overall focus on naval technologies and hydrodynamics does not match the team's core skills. The opportunity is also highly specialized and likely requires expertise beyond the team's capabilities.
Full Description
1. Digital Ecosystems:
• High speed, intelligent, data-driven decision making for complex operations
• Data discovery, information and knowledge management
• Rapid adaptable policy and enforcement for digital environments
2. Hydrodynamics:
• Computational hydrodynamic tools
• Seakeeping and loads in extreme seas
• Maneuvering and control
• Maneuvering in waves
• Cavitation
• Hull-propulsor interaction
• Hydrodynamic modeling of operations: in an ice slurry; multi-body interactions; propulsor hull system optimization; appendage characterization and scaling; near-surface and near-shore maneuvering and control modeling development
3. Naval Platform Integrity:
• Naval metals and alloys; structural composites; corrosion resistant materials; and/or high-temperature ceramics
• Manufacturing, including additive and other advanced manufacturing, and the relationship between processing, microstructure and materials properties, including Modelling & Simulation
• Structural assessment and monitoring
• Weapons effects and ship protection
• Non-destructive testing and/or inspection
• Maritime lethality
• Structural reliability
• Ship environmental treatment systems, management, and safety
• Bio-fouling and bio-fouling hydrodynamic effects
• Development of artificial intelligence and machine learning models to advance naval platform integrity
• Battery development and safety
• Naval platform energy and power
4. Ship and Submarine Design:
• Ship/Submarine design tools
• Ship/Submarine design processes and methods
• Design evaluation/assessment capabilities
• New and non-traditional platforms
• Novel ship/submarine designs and missions
5. Signature Management:
• Underwater and topside signatures
• Mobile sensors
6. Unmanned Systems:
• Low-cost perception and situational awareness systems
• Autonomy and AI/ML decision making and computations
• Swarming capabilities