Award Data

The objective of this Navy Phase II STTR program is to design, develop and manufacture energy scavenging modules for “small unit power” architecture. The energy scavenging modules (ESMs) developed in this program will be able to capture the magnetic fields surrounding electrical power lines and electrical equipment and convert their energy into electricity. The ESMs will be designed to have th ...

Increased availability of graph-structured military data and recent technical advances in neural network design and training methods has led to an opportunity to advance the state of the art while simultaneously establishing and improving the ability:(1) to monitor a platform or force, (2) to predict capabilities and limitations of the force, and (3) to suggest opportunities and vulnerabilities. ...

Exfoliation corrosion of 5XXX series aluminum alloy is an issue related to sensitization of the aluminum substrate wherein internal stresses drive delamination of highly elongated outer layers due to preferential corrosion paths and volumetric expansion. The Navy is interested in preventing this corrosion to decrease lifetime costs on Littoral Combat Ships, Ship-to-Shore Connector vessels, and Tic ...

In order to travel faster, travel longer, and carry larger payloads, new Navy ships are being designed with light weight alloys and composite materials. High magnesium AA5xxx series alloys provide a high strength to weight ratio and excellent corrosion resistance, but suffer from sensitization as anodic ß precipitates (Al¬3Mg2) are form along grain boundaries due to a combination of elevated tem ...

Our product solution is a quantum algorithm-based electromagnetic modeling and simulation software package to run on classical computers and quantum simulators and computers.

Transfer learning AI approaches shall be used to customize EEG BCI models to users for monitoring vigilance decrement and task disengagement in realistic use-cases seen by UAS operators and trainees.

The goal this work is to use AI to interpret the THz and sub-THz responses at the pins to the defects and deviations from design of the integrated circuits under test. The key application is work is identifying hardware security treats using artificial intelligence (AI) for cyber security applications. Our approach will provide a rapid, inexpensive, and non-destructive technology address this prob ...

Physically uncloneable functions (PUFs) have the potential to revolutionize cybersecurity by forming the basis for next-generation secure networks and trusted computing environments. During Phase I, Potomac Research and OSU evaluated of three physically uncloneable function (PUF) designs that can be implemented on COTS FPGAs. One design based on hybrid Boolean networks (HBN-PUFs) emerged as the cl ...

Our Phase I effort showed that spectrum compression could be successfully achieved via Wavelet Transform (WT) based Fatigue Spectrum Editing (FSE) techniques for uniaxial HCF spectra cases. For example, 85% reduction in spectrum length can be achieved in the case of the original FELIX spectrum. However, the extension of the same FSE technique to multi-axial HCF cases showed less desirable results ...

Transmission loss (TL) is a key input to the sonar equation for predicting the ability of an active sonar system to detect and track a target of interest. The proposed technical effort centers on developing physics-based models to interpret and predict TL variability. The concept under development consists of a model that consumes modeled and in situ oceanographic information, estimates the likeli ...