Award Data

The objective of our proposed STTR phase-I work is to transition the latest advancements within the academic community to the design of a robust, user-friendly, and application-oriented tool for automatic hex-dominant meshing. Our software will fully couple CAD models to the discretized domain required by finite element software in structural analysis and other simulation and modeling applications ...

The significance of the problem is to deploy combined quantum communication-and-processing near to Navy applications.   Our approach, when successful, would enable small, ambient operating QPUs to be connected at a distance by quantum-secure communication.  Unlike bulky optical components and in-contrast to cryogenic qubits, our system, using in situ generated photons, offers a practical s ...

The Phase I effort of this STTR aimed to reinforce ply-drop laminates. When laminates taper from a thicker to thinner cross section, the termination of plies locally create resin pockets that can reduce the life of a part due to the lower strength of the resin compared to the fibers, local stress concentrations, and the propensity for voids in these resin rich areas. Thus, Metis Design Corporation ...

Pendar Technologies proposes to develop a QCL simulation tools that leverage machine learning to dramatically improve the speed of QCL device design. The innovative QCL design suite proposed will benefit from recent advances made by Pendar in bandstructure engineering, laser cavity design and thermal management at the chip and the package level.

Seatrec will collaborate with a team from the Woods Hole Oceanographic Institution to demonstrate the technical feasibility and commercial applicability of a novel energy harvesting system that converts thermal energy from high-latitude air-sea temperature differences into electricity.  This capability will extend the endurance and capability of observing system elements, reduce battery waste, a ...

Whereas quantum computers stand to drastically transform computation for a number of existing and future problems, its realization in the near term produces certain challenges.  Simulation and Emulation techniques make it possible to consider the advantages of quantum computation in real-world applications in cryptography, machine learning, signal processing, and cybersecurity.  They also open t ...

Social networks engender implicit trust of knowing the person behind the information, so when posts are presented in our social media timelines, they have the potential to persuade us and change our opinions. For other users, such as intelligence analysts, while information shared on social networks is unlikely to take the place of vetted intelligence, the presence of bots can make it difficult to ...

To support Navy Live, Virtual, and Constructive (LVC) training for surface fleets during periods of long transit, the Navy would like to consider alternative communication paths that can link shore based trainers and simulation capabilities with trainers and training systems afloat. To support full spectrum training during the training events, there is a desire to selectively turn off communicatio ...

Analog computation has an old history going back to mechanical differential analyzers for solving Ordinary Differential Equations.  These equations can be used model Hilbert space that is used in Quantum Computing.  It was realized that the computational operation called quantum computing does not need quantum systems by Paul Benioff in 1980; however, the analog approaches to solving Hilbert spa ...

Although metal AM technologies have continued to progress, there are still many different challenging factors to a build that impact part quality and the amount of time it takes to successfully process a first-run component without defects. Triton Systems proposes to develop a machine learning algorithm that adjusts print parameters during the build in reaction to in-situ sensor data in order to ...