Award Data

In an effort to development more robust optical system coatings DTRA, in collaboration with Sandia National Labs, is working to characterize the degradation of optical materials for space systems when exposed to high intensely EUV/ cold x-rays. The experiments utilizes the Double Eagle z-pinch facility which generates high current, high voltage arc pinch plasma to produce an intense EUV and cold x ...

Traditional weapon systems often fail to meet the requirements of close combat typical of the previously discussed engagement, where insurgents often blend in or store weapon amongst friendly or non-combatant forces, to shield them from precision strike munitions of a technologically superior force. This type of warfare has led to an increased focus on the use of less-lethal weapons, to reduce let ...

"Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of t ...

Aculight, teamed with Lockheed Martin Missiles and Fire Control (LMMFC), will deliver a system for remote capture of biometrics for screening processes in the Phase II of this proposed work. This system will have a range in excess of 100 meters, if needed, and supply facial depth resolution of < 2 mm. This aggressive goal is enabled by the DOD investment in 3D LIDAR at LMMFC and in eye-safe fiber ...

Fine-scale, well-calibrated probabilistic weather forecasts are increasingly in demand for such weather-critical applications as battlespace management, and accurate prediction of high-value airborne operations. Built upon the Phase I effort we have just completed, the principal objective of this proposed study (Phase II) is to develop a reliable, efficient, and easily deployable reforecast-calibr ...

Orora Design Technologies proposes the development of minimally invasive circuit design-based methods to mitigate single event effects (SEEs) in next generation Ultra-DSM CMOS (

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