Award Data

Additive manufacturing is a disruptive new manufacturing paradigm that hold tremendous potential for creation of novel designs and introduction of novel new alloy systems. However, much of this potential remains unrealized due to a lack of robust material properties databases. Accurate calibration of materials models and robust part qualification and certification regimes both will require massive ...

The Internet of Things (IoT) connects people, data, and "things" (e.g., software, sensors, platforms), facilitating the translation of information into actions. Although naval platforms’ networks and communication suites have evolved significantly in the past few years to support such required connectivity, one of the greatest technical challenges still facing the military community is the proce ...

Developing knowledge-driven nanoelectronics for military applications requires understanding the fundamental physics that governs the behavior of the underlying material. Strongly correlated materials have very desirable properties such as interfacial superconductivity, ferroelectricity, ferromagnetism, and huge magnetoresistance, which make them an ideal set of candidates to integrate with semico ...

The technical objectives of this proposal are: 1) demonstrate a single-element, 4.6 micron-emitting quantum-cascade-laser (QCL) with > 40 % continuous-wave (CW) wallplug efficiency (WPE) at room temperature; (2) perform a comprehensive simulation to achieve a design for a monolithic QCL operating in a single spatial mode to 10 W CW output power; 3) perform a thermal-management analysis for the des ...

The objective in this project is to implement and validate a probabilistic qualification framework that will enable additive manufacturing (AM) materials and part qualification through the use of a data-driven predictive model within a statistical framework. Senvol seeks to develop and validate a data-driven ICME probabilistic framework for assisting qualification of AM materials and parts. Phase ...

Optically pumped magnetometers provide very high performance but they cost tens of thousands of dollars, and they are large and power hungry. Recently we successfully developed and commercialized laser pumped magnetometers with size, weight and power consumption that is an order of magnitude below current state-of-the-art without sacrificing performance. In this project, the focus will be on produ ...

Automatic Speech Recognition (ASR) allows trainees to practice verbal communication skills in representative training environments without the need for human role players. However, these technologies have yet to become a feature of most training systems. Building on Phase I work, SoarTech along with our academic partners at UC Davis, proposes developing Soliloquy, a novel interface that allows non ...

Nanoscale, material sensitive, imaging techniques are critical for progress in many disciplines as we learn to master science and technology at the smallest dimensions — on the nanometer to atomic-scale. However, progress in both science and technology is becoming increasingly limited by the constraints of current imaging techniques and metrologies. Fortunately, by combining coherent extreme UV ...

There is a DoD need for the development of robust sensors to obtain temporally and spatially resolved surface temperature and heat flux measurements on test articles in blowdown and continuous hypersonic wind tunnels. These micro-heat flux sensors are required in order to better understand the state of the boundary layer of a hypersonic vehicle; to better understand boundary layer instabilities; a ...

The problem addressed in this effort is to automatically learn historical ephemeris space catalog time, position, and velocity entity track update error uncertainties (i.e., without track error covariances) and to automatically (e.g., without expert event labeling) produce: – unmodeled non-gravitational space catalog update flags – abnormal unmodeled catalog update flags with abnorma ...