Award Data

A photonic integrated spectrometer based on high-index contrast thin film platform is proposed for Raman signal processing. Raman signal generation on the chip via waveguide collection integrated with a spectrometer is proposed to increase the efficiency and signal to noise ratio and significantly reduce cost and the size of Raman sensor systems. All components of the proposed Raman detection syst ...

Navy has identified refractory high entropy alloy (RHEA) and metal additive manufacturing as two potential areas of interest. This includes designing new RHEA and optimizing metal additive manufacturing with specific material property requirements. Developing materials and processes via applying traditional experimentation and process optimization techniques is painfully slow due to the large numb ...

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 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- ...

NanoSonic will work with Penn State to develop, demonstrate and manufacture materials and systems to allow unmanned aerial vehicles (UAVs) to scavenge magnetic field energy from electric power lines and operate continuously in the field. NanoSonic will work with energy harvesting researcher Dr. Shashank Priya and a major US aerospace company to design, fabricate and demonstrate a prototype system ...

Global Engineering and Materials, Inc. (GEM) along with its team member, the University of Wisconsin-Madison (UW-M), propose to develop printed polymer reinforcement via additive manufacturing to provide patterns at the interlaminar regions in traditional prepreg composites with the goal of improving their interlaminar properties under mixed mode loading. Two key components will be performed under ...

Metamaterials and photonic crystals are engineered composites that exhibit novel and interesting properties not found using ordinary materials. They have been shown to allow extraordinary control over the electromagnetic field, including molding the flow of energy, amplitude profile of the field, phase of the waves, intermodal coupling, and more. To achieve such control, a set of tools and procedu ...

The main objective of this STTR effort is three-fold. First, to develop and demonstrate in Phase I a Bayesian methodology exploiting flight test data in order to identify critical store carriage tests and clear non-critical store carriage configurations by updated analysis. Second, to extend in Phase II the scope of this methodology to viscous flows with analysis enriched using analytical sensitiv ...

Carbon nanotubes (CNTs) have great potential for high performance RF applications. Theoretical study has shown that the electrical current in a CNT field effect transistor (CFET) is intrinsically linear. Today, linearity is the underlying limitation in increasing the data transport densities of wireless networks. The complex modulation protocols used to achieve higher data rates requires linear am ...