Award Data

Our proposal addresses the need for an algorithm to support the fusion of multiple and varied detector outputs into an actionable information. Specific focus is to identify and localize a radiation source in a complex environment and to characterize the complete scene. We will apply our extensive experience with radiation detection to thoroughly model a variety of radiation detectors deployed to c ...

The feasibility of developing an optically-based sensing system that is capable of noninvasively characterizing pulsed magnetic fields with single-millimeter spatial resolution either inside or external to a cavity exposed to x-ray or gamma radiation will be investigated. An optical-fiber-coupled sensor will be designed, fabricated, and experimentally verified to meet or exceed desired sensitivit ...

Global Optimization of Graph Learning Structures (GOGLS) is a platform- agnostic method of globally optimizing search graphs from individual autonomous agents using techniques derived from federated learning. The GOGLS mission and focus will be to provide a learning framework for robots to share search information and in essence, see through the eyes of their neighbors.  The GOGLS system relies o ...

Machine learning algorithms have demonstrated performance on par with or superior to human analysts on large datasets when sufficient training data is available. For many military applications, sufficient truthed data over relevant operating conditions does not exist and is prohibitively expensive to obtain. A potential solution to thislack of measured datais synthetic data derived from physics si ...

The nuclear weapons community has traditionally focused on the next generation or level of weapon capability complimented by gathering and analysis of actual test data. Now, with the cessation of actual weapons testing, there is an increased need to use the actual test data in modeling techniques to better understand the phenomenology and potential effects of nuclear weapons. The first phase of ...

DEVELOPMENT OF AN INNOVATIVE AND ECONOMICAL EXPERIMENTAL METHOD IS PROPOSED WHICH CAN PROVIDE THE BASIC BEHAVIOR DATA NECESSARY TO MEET THE DNA OBJECTIVE OF PROVIDING ADEQUATE ANALYSIS, DESIGN AND ASSESSMENT METHODS FOR MINIMALLY HARDENED TUNNELS. THIS DEVELOPMENT IS ACCOMPANIED BY ANALYSIS CAPABLE OF REPRESENTING THE COMPLEX INELASTIC MATERIAL BEHAVIOR OF THE ROCK MASS AND OF REPRESENTING SIMPLE ...

Turbulence of gas flows by its very nature is one of the most difficult things to model and measure. We propose to develop a new way of measuring the turbulence and to compare these measurements to predictions using the k-epsilon model. Typical measurements, in the past, use smoke, Schlierin or shadow graph techniques to visually infer turbulence characteristics. These features are either motio ...

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WE PROPOSE TO PROVE THE SCIENTIFIC AND TECHNICAL FEASIBILITY TO USE ELECTROSTATIC ACCELERATION TO BOOST THE ENERGY OF CF-252 FISSION FRAGMENTS AS A LABORATORY SIMULATION OF COSMIC RAY EFFECTS I MICROELECTRONICS. THE PROJECT OBJECTIVE IS TO BOOST THE ENERGY SUCH THAT A LARGE FRACTION OF THE ACCELERATED IONS HAVE A RANGE IN SILICON GRATER THAN 20 MICROMETERS. THIS SOLVES A NUMBER OF PROBLEMS ASSOCIA ...

THIS DOCUMENT PROPOSES RESEARCH ON THE FABRICATION OF A FAMILY OF EMP HARDENED CONNECTORS AND CABLE HARDWARE FOR AIRCRAFT AND SHIPBOARD APPLICATIONS. THESE CONNECTORS AND CABLE HARDWARE WOULD SUPPRESS EMP TRANSIENTS THROUGH THE INTEGRAL INCORPORATION OF A THIN FILM, HIGH SPEED, HIGH CURRENT OVONIC THRESHOLD SWITCH (OTS). CABLES AND HARDWARE OF THIS TYPE WOULD SIGNIFICANTLY INCREASE THE SURVIVABILI ...