Award Data

Wind turbine blade lengths continue to increase, up over 150% in length from 1999 to 2021, with the largest rotors on the market today exceeding lengths of over 110 meters. In addition, the expansion of onshore and offshore wind projects into lower wind speed sites require the development of low specific power products with ever increasing blade length. The net result of the rotor growth leads dir ...

Annular extruded plastics are in everything from fuel lines, hoses, pipes, and wires to catheters, medical tubing, and stents and makes up about ? of the $200B extruded plastics market. Extrusion manufacturing is a major processor of the $600B raw plastics industry, which produces 380 million metric tons of material each year. The production of these materials accounts for 4% of oil consumption an ...

Nitric acid (HNO3) is used to produce fertilizers, explosives, nylons, polyurethanes, and a variety of other industrial chemicals. The state-of-the-art manufacturing method uses methane (CH4) as a feedstock for hydrogen and an energy intensive thermal process that emits a large amount of carbon dioxide. A new low-temperature plasma system, which can be driven electrically by a renewable or nuclear ...

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Ionomer solutions LLC will develop membrane electrode assemblies (MEAs) that utilize high-temperature polymer electrolyte membranes (HT-PEMs) and ionomer electrode binders containing blends of poly(tetrafluorostyrene phosphonic acid) (PTFSPA) blended with perfluorosulfonic acid (PFSA) materials. The HT-PEM consists of a mixture of polycation-polybenzimidazole (PBI) and it uses electrostatic intera ...

Most AI accelerator hardware, such as GPU and TPU, are focused on increasing the throughput and efficiency for training and inference algorithms by massively parallelizing the computation across distinct computing unit and processors. Massive parallelization has to be powered by the continuous shrink of transistor nodes. Unfortunately, an increasing number of barriers are inhibiting the scaling of ...

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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 ...