Award Data

"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 ...

To effectively counter Weapons of Mass Destruction (WMD) we must be able to accurately and sensitively detect the sites of WMD development. While the reagents and byproducts of nuclear activity may be rapidly depleted from environmental sites, those transient perturbations leave a lasting mark on the resident microbial communities by promoting and restricting the growth of different microorganisms ...

Aret Associates and Oak Ridge National Laboratory (ORNL) propose an interdisciplinary effort to meet the challenges of developing a soil microbiome-based nuclear activity biomonitoring application. Our approach combines Arets expertise in decision theory and bioinformatics with ORNLs subject matter expertise in microbial ecology and contaminant signatures. We will adapt and extend our high featu ...

With the advent of high-density low-power sub-20nm technology processes and circuits with tens-of-billions of transistors, radiation-induced single-event effects present a new set of design challenges for terrestrial applications. Developing reliable single-event effect resilient microelectronics in these modern technology nodes is a resource and time-intensive endeavor that further requires valid ...

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 ...

The DoD faces mounting costs for integrated circuits built with advanced technology. Our proposal addresses mixed-signal ASIC design costs and fabrication costs, notably photomask costs and photolithography costs. The ADONIS 1D design methodology has been demonstrated at technologies ranging from 130nm to 16nm. In Phase I of the program, we used ADONIS to design a reference circuit a high-speed c ...

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 ...

EP Analytics Inc. will develop and commercialize a suite of easy-to-use performance profiling and prediction tools for characterizing the performance and energy efficiency of High Fidelity computer codes. DTRA uses High Fidelity codes to investigate weapon effects phenomenology and techniques for countering Weapons of Mass Destruction (WMD). End-to-end High Fidelity simulations in support of the D ...