Award Data

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Our team has produced composite thin films with the highest reported tensile strengths.  These films have been produced using roll-to-roll manufacturing techniques that can be adapted to current manufacturing lines. Small amounts of thermally reduced graphene oxide (tr-GO) particles (1% by wt) can be added to a ultra high molecular weight polyethylene matrix to produce thin films with tensile str ...

There are currently over ten thousand Unmanned Aerial Systems (UAS’s) in military operations in support of domestic training events and overseas contingency missions for their versatility in meeting the Warfighters’ requirements, including intelligence, surveillance and reconnaissance. The mission profile of UAS’s typically involves multiple segments, such as releasing from storage, dashing, ...

The Objective of this STTR project is to develop the Autonomous Vehicle Simulation Platform (AVSP). AVSP will virtually test how teams of autonomous interconnected wheeled and tracked ground vehicles operating on various kinds of deformable terrains interact with each other and their environment. AVSP will simulate the input from various sensors carried by the vehicles including cameras, Lidar, ra ...

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Extending the range of missile and firing systems is at the core of the United States Army’s top modernization priority, Long Range Precision Fires (“LRPF”). Adranos, Inc. (“Adranos”) has made a substantial advancement towards accomplishing LRPF goals with its high-performance solid rocket propellant called ALITEC. ALITEC utilizes an aluminum-lithium alloy (“Al-Li”) fuel that provide ...

The proposed effort seeks to develop Energetic Material Battery and Reserve Power Systems (EMBRS) for munition power sources and related systems that are based upon metal-based energetic composite powders, which consist of two metals that are mechanically mixed at the nanoscale and are capable of self-propagating reaction while contained within a compartmentalized metallic shell. The effort will s ...

Advanced numerical simulations of fluid flow and solid/structural mechanics are often used to assess the vehicle or engine performance, to identify the mechanical factors that contribute to the shortening of their life span, and to suggest design modifications that improve efficiency and durability. The latter often results in significant cost savings to the DoD. As the vehicle and engine designs ...

Modern deep learning-based face recognition systems perform at or above human levels on high quality frontal imagery, but their performance suffers significantly on more operationally relevant imagery with confounding factors such as extreme pose.  This performance degradation is based on two primary shortcomings: poor match between training and test-time image data, and failure to model inherent ...