Award Data

Unmanned aerial systems (UAS) provide strategic advantage for our nation’s warfighters, and the use of micro- and small-scale platforms on the battlefield is expected to increase significantly in coming years. This presents a logistical challenge in managing how system batteries are recharged throughout the UAS lifespan. The desired goal is to develop power systems that enable persistent deploym ...

Vescent Photonics and MIT Lincoln Labs (MIT-LL) propose to develop a quantum-based vector magnetometer with low size, weight, power, and cost (SWaP+C) for Navy applications. The proposed system will rely on probing magnetically-sensitive, atomic-like transitions of nitrogen-vacancy (NV) centers in diamond to provide stable, high-bandwidth readout of the vector magnetic field with sub-picotesla sen ...

The objective of the Phase I proposal is to investigate the application of controlled cavitation cleaning technology in conjunction with gecko-inspired mechanical adhesion and soft elastomeric applicators for use in non-intrusive EOD operations. This investigation requires the proof-of-concept testing and validation of a controlled cavitation cleaning mechanism, and a soft robotic gecko-inspired m ...

In Phase I, Metron and the University of Miami (UM) propose to develop a theoretic reduction of dynamics framework applicable to the prediction of oceanographic fields in geophysical fluid dynamic models for use onboard unmanned platforms. Our approach leverages, extends and combines modern advances in the renormalization group and Bayesian probability combined with fluid dynamics modeling and for ...

This project delivers a system to assess local uncertainties and track the evolution of the maritime environment around unmanned platforms at sea. The system uses Navy ocean forecasts for initial environmental guesses and outlooks and implements a Reduced Order Model (ROM) derived from Dynamically Orthogonal (DO) solutions to deliver a local uncertainty picture (for the next 24-48 hours). The ROM- ...

Verus Research and the University of New Mexico (UNM) are pleased to respond to the Navy Phase I STTR solicitation N19A-T001 titled “Optimized Higher Power Microwave Sources.” Verus Research, in collaboration with UNM, propose to develop a GW-class, S-band, high power microwave (HPM) source to integrate in vehicle and vessel stopping systems. Our integrated approach ensures the objectives for ...

Waste heat from Naval diesel generators provides significant opportunity to introduce organic Rankine cycles (ORC) to increase their fuel efficiency. The objective of the proposed effort is to design and demonstrate a high-speed, spinning scroll expander (HiSSSE) ORC as a power dense waste heat recovery system for diesel generators on ships. The system will leverage Air Squared’s spinning scroll ...

Metron and Northeastern University propose to design, develop, and validate a proof-of-concept predictive Graph Convolutional Network (GCN) capability using open source Reddit and GDELT data. We propose: (1) to extract and preprocess open-source Reddit and GDELT data, (2) to design a predictive graph convolutional neural network model, (3) to implement and train that model, and (4) to validate the ...

In order to achieve real-time monitoring, analysis, and alerting for complex systems, a unified logging architecture must exist that can support the collection and analysis of big data. Our technical objective is to develop a unified logging architecture that supports collection, aggregation, storage, and analysis of system performance and cybersecurity logs, events, and alerts produced by Naval C ...

The development of a catastrophic optical damage model for quantum cascade lasers describing instantaneous laser damage at high optical power levels is proposed. The model will be validated by comparison to experimental data. Based on obtained results, changes to laser design and laser fabrication resulting in an increased damage threshold will be implemented. The work will ultimately result into ...