Award Data

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. ...

To address the challenges posed by verification and validation (V&V) of artificial-intelligence (AI) and machine-learning (ML) for high assurance in safety-critical functions of armaments systems, ARiA and Arizona State University (ASU) will develop and demonstrate the feasibility of the Machine Learning Qualification Process (MLQP). The Phase I effort will (1) research and develop fundamental met ...

The next generation of Army munitions is aligned with DoD priorities and aims at increasing overmatch capabilities by extending range, including guidance systems while increasing lethality via blast effects. These objectives are typically not compatible in systems sharing a fixed volume and weight. Many munition systems have received propulsion and guidance upgrades over the years; however, most o ...

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 ...

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 ...

Under this STTR Phase I project, we propose a framework for complex event detection that addresses the limitations of the state-of-the-art by effectively combining deep learning models with neuro-symbolic reasoning. In our approach, we apply a joint deep neural network (DNN) and statistical relational learning (SRL) based framework that combines semantic reasoning and relational learning with data ...

Red phosphorous is prone to releasing toxic and flammable phosphine gas when exposed to moisture. Since red-phosphorous based-items are stored in sealed containers, sometimes for decades at a time, it’s important to know the concentration of phosphine before opening the container to avoid any safety issues or the need for extensive safety gear. Commercial sensors exist but are expensive and impr ...

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 ...

Post-traumatic stress disorder (PTSD) is a psychiatric disorder that can develop after experiencing distressing events such as combat, serious accidents and injuries, or threats. While 8 million adults are affected in the United States each year, the disorder is especially prevalent for military service members, with estimated rates as high as 20-30% for Iraq and Afghanistan veterans. To prevent s ...

The proposed program will span the design, production, purification, and testing of a novel protein based food ingredient with >80% Essential Amino Acid content. A generally recognized as safe (GRAS) production organism will be used to enhance the safety of production and accelerate the timeline to GRAS approval of the protein feed. The resulting material will be incorporated into combat rations t ...