Award Data

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 ...

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 ...

Pendar Technologies proposes to develop the next generation of compact, high power quantum cascade laser (QCL) sources with output power exceeding 10 Watts at a wavelength of 4.6 microns. The proposed subsystem will include a DFB QCL array integrated monolithically with power amplifiers, low-loss passive waveguides resulting from ion implantation and optical elements aimed at realizing on-chip wav ...

This Navy STTR Phase I proposal presents an unprecedented NDI tool to quantify mechanical properties of metal parts made with laser additive manufacturing with material characteristics and process parameters. A fiber laser SAW and heterodyne detection is used with LIBS to study both in-process and post-process for both flat and shaped parts. It is the enabling technology for characterize the AM pa ...

The goal of the proposed research is to develop light-weight, flexible, high efficiency solar cells made from perovskite halide light-harvesting materials for use on unmanned aircraft systems (UAS), for use in conjunction with an energy storage system. Solar cells have historically been heavy, costly, and inflexible. In this research, low-cost manufacturing methods will be used to make high effici ...

We propose a suite of video processing algorithms utilizing the machine learning (ML) techniques of artificial intelligence (AI) reinforcement learning, deep learning, and transfer learning to process submarine imagery obtained by means of periscope cameras. Machine learning (ML) can help in addressing the challenge of human failure of assessing the data of periscope imagery. Though pre-tuned blac ...

ATA Engineering has developed a wavelet-based damage squeezing methodology for generating optimally compressed fatigue test signals that produce an equivalent amount of fatigue damage in a predictably reduced amount of time compared to the baseline (uncompressed) signals. Fatigue-critical signal characteristics (e.g., magnitude, phase, frequency, and sequencing relationships) are identified in the ...

Oceanit proposes to develop and demonstrate novel, tailored, designer separator materials with optimized properties to maximize lithium-ion cell/battery performance, life, safety and reliability.

SI2 Technologies, Inc. (SI2) proposes to accelerate development of printed, high-efficiency phased arrays operating at Navy-relevant frequencies. The proposed development effort will include optimization of the array printing techniques from Phase I to meet the Navys phased array performance goals. The printed arrays will incorporate both printed radiating elements and an innovative printed packag ...

Digital equalizers have been the major enablers in RF communications in terms of managing component imperfections and channel impairments. Specifically, the ever increasing processing power of the dedicating computing processors has availed a steady increase in the ability of complex communication systems to deal with impairments as well as allowing higher capacities in the information transfer.On ...