Award Data

NGA uses deep networks for many tasks including image registration, land cover segmentation, and object detection. Current deep learning approaches develop specialist networks for each task and type of data. Not only is this inefficient, because networks can’t be reused across tasks, this approach ignores correlations between tasks and data sources that can improve performance. In response, we w ...

A compact and portable SOFC, 1-3 kW, is an excellent choice to convert a hydrocarbon fuel source to electricity due to its high efficiency. Currently, SOFCs are optimized to run a single fuel source, and a fuel flexible reforming technique that can integrate with SOFC is needed to have the potential to utilize all different energy assets, including propane, methane, and biogas. Catalytic partial o ...

Kitware, in partnership with Penn State University, is proud to propose this Phase I STTR effort to create XAI middleware that can support the interactive explanation and visualization of AI decision-making systems. Current (X)AI algorithms are often application-specific, limiting their portability to cross-cutting domains. Our approach, MIXTAPE, will create modular and extensible software interfa ...

The objective of the proposed efforts is the development of novel methods to design gun-hardened inertial initiation devices that can be readily integrated into reserve batteries and initiation trains and that can satisfy the requirements of activation when subjected to low-G setback accelerations of the order 10-20 G for 100-150 msec (all-fire condition) but do not activate when subjected to acci ...

To achieve overmatch in C4I versus peer adversaries, Army intelligence analysts need support in detecting and classifying instances of adversary tactics, techniques, and procedures (TTP) execution across domains. Complex Event Processing (CEP) tools need improvement to meet this requirement, in order to detect entity behaviors and movements that may be observed by different sensors, or separated i ...

The new Bottom Attach munitions for the Close Terrain-Shaping Obstacles (CTSO) program, currently under development by the Army, requires that reserve batteries operate 30 days after activation in a low power sleep mode, while providing multiple high-power pulses. This operational profile requires batteries with energy and power densities beyond the limits of the current liquid reserve batteries. ...

This STTR Phase I proposal focuses on small or moderate size reserve cells with specific requirements of powering an advanced munition, drone or UAV for a critical extended mission which can only be achieved with an increase in specific energy/energy density of a factor of 4 or 5. The specification of "reserve" cell also implies single use and 20-year unmaintained shelf life.

The US Army is investing in the development of energetic materials for use in additive manufacturing (AM) for explosive and propellant applications in an ongoing effort to achieve extended range and lethality overmatch.  Currently, all commercially available monomers, polymers or resin systems for AM are non-energetic.  To use these in 3D printing applications for propellants and/or explosives, ...

The US Army and Department of Defense are continuing in their investment in the development of energetic materials for use in additive manufacturing (AM) for propellants.  Nalas Engineering is partnering with Dr. Lori Groven at the South Dakota School of Mines and Technology to develop innovative liquid resin systems for use in additive manufacturing, specifically UV light-based curing technol ...

Metal-organic frameworks (MOFs) are crystalline porous materials formed by the coordination driven self-assembly of metal ions/metal clusters and organic linkers. MOFs are attractive materials due to their tunable pore, very high surface area (up to 7000 m2/g), diverse possibilities of functionalization of the framework structure and potential applications. In particular, MOFs have showed potentia ...