Award Data

ABSTRACT: Existing machine learning algorithms have difficulty using all available data about a problem. This STTR will develop a new algorithm that can make full use of all available data, whether that data is labeled or not, and even when some data types or data resolutions are not available during operation. BENEFIT: This STTR will develop a novel machine learning algorithm for reasoning abo ...

The proposed research program focuses on design, fabrication, and characterization of quantum-dot infrared photodetectors (QDIPs) which features bias-tunable parameters, including the spectral response, optical gain, and operating time. Wide variations of detector parameters can be realized through the bias-tunable potential barriers surrounding quantum dots. Changes in bias will transform the ba ...

Aurora Flight Sciences and MIT propose to develop a model-based adaptive health estimation and real-time proactive control to identify gas turbine engine stability risks and avoid them through control action. In this concept, the engine control system actively monitors sensors and actuators, compares them against physical models, and infers which components may be performing poorly and may need to ...

Sciperio with team members Georgia Institute of Technology and Centecorp have teamed up to develop an Additive Manufacturing Composite using nano and micro fillers. The team will develop multi-scale models that are supported by experimental characterization for advanced 3D Printable materials. Inelastic response of high strength hierarchical structures composed of engineered materials and specif ...

The Department of Defense (DoD) has a demand for out-of-production parts to maintain mission readiness of various weapons platforms. Additive manufacturing (AM) is an exciting and promising manufacturing technique that can make out-of-production parts and holds the potential to solve supply chain issues, such as high costs (i.e. for low-volume parts) and sole sourcing risks. The ability of AM to s ...

The objective of the Advanced Anti-jam Design Techniques effort is to make a controlled Radiation Pattern Antenna (CRPA) have more elements without increasing the size, or make it the same antenna (i.e., same number of elements) smaller. The moreradiating elements that are available in a CRPA design, the more response nulls can be directed towards jammers. The inherent design problem that needs ...

There is an urgent need for simple, reliable and effective tools for improved biospecimen collection, preservation and extraction of low-abundance analytes for improved detection and diagnostic assays. To address the DoD's need for clinical and field deployable biospecimen collection materials for infectious diseases, Ceres Nanosciences (Ceres) in collaboration with GMU's National Cente ...

Northwest UAV Propulsion Systems proposes using our purpose built heavy fuel engine designed and built in the USA for small unmanned aerial systems in the tier 2 & 3 class. We will be adding a lightweight ceramic material set combined with FEA (Finite Element Analysis) and heavy fuel atomizer (IRAD Project) to create a lightweight engine for a SUAS or STUAS class UAVs. The Ceramic material set is ...

The performance of active Navy sonar systems in littoral environments is often limited by strong reverberation, typically from the seabed. Reverberation can be subdivided into discrete clutter events and diffuse bottom reverberation, with discrete clutterevents being the most serious problem for the utilization of current and future sonar systems. An accurate, physics-based model for the predictio ...

Reservoir Labs and Johns Hopkins University will develop alternative numerical solution techniques that improve computational loading, data storage, and data integrity for rocket vehicle trajectory modeling in MDA federated simulations.The objective of this program is to develop new techniques for trajectory propagation that are more suited for use in federated simulations than traditional methods ...