Award Data

The final product is Cyberchase Fractions Quest—a math game based on the storyline of PBS children's television series, Cyberchase. In the game, students in grades 3 and 4 will apply learning fractions within three contexts: areas and regions (such as shapes), sets (groups of objects), and on a number line. The game will identify specific areas where students struggle and will introduce challeng ...

With this Phase I funding, the project team will develop and test a prototype of Fate and Fortune, a simulated learning environment aligned for grade 8 algebra. The prototype will include story-based adventure set in the era of the spice trade of the 1600s. In the multi-player game, the class of students must apply algebraic equations to advance and learn academic content. At the end of Phase I, i ...

Physical Sciences Inc. (PSI) proposes to develop an Advanced Learning-Enabled Threat Search (ALERTS) software to significantly enhance detection range and source classification accuracy during search for Special Nuclear Materials and other radioactive threats. The software will implement Machine Learning algorithms for automated extraction of spectral and temporal features by training on sets of g ...

"Increasing the distance for standoff detection of nuclear materials, beyond that capable with direct radiation detection, using alternative signatures, such as the concentration of ionization in the surrounding atmosphere, improves the ability to locate, track and monitor this material. Ionizing radiation generates free elections, ions, and exited states in the nearby atmosphere, even when the s ...

We propose to develop Prediction of Emergent SCIENce & Technology (PRESCIENT), a system that mines a text corpus of scientific patents and publications to discovers emerging technologies that may impact WMD or CWMD. PRESCIENT will take as input a diverse corpus of patents and publications, including metadata about contributing authors and organizations, and will produce as output alerts with timel ...

Neutron multiplicity can provide effective detection and identification of shielded Special Nuclear Materials (SNM) based on analysis of the time correlated neutron multiplicity distribution. RMD is developing a composite detector, consisting of Cs2LiYCl6:Ce (CLYC) scintillator incorporated into dual-mode plastics, which provides an ideal solution for this task. CLYC offers (1) efficient thermal ...

Agiltron will develop a new class of chemical vapor analyzers by leveraging Agiltrons development and production of micro-electrical-mechanical systems (MEMS) products and expertise with surface-enhanced Raman scattering (SERS) analysis and film fabrication. Our approach capitalizes on integration of these separate technologies for the first time to generate a unique and novel functionality that f ...

This Phase 2 project will further develop and scale a manufacturing process for the production of 5-25 kilogram quantities of encapsulated HI3O8 with a particle size of approximately 2 m and other sizes as desired by the sponsor. This project addresses the need to develop manufacturing processes and build a production capability for the manufacture of HI3O8 a halogen-containing chemical reagent f ...

From 1993 to 2013, sixteen incidents involving highly enriched uranium associated with illegal activity has been reported to the IAEA.A gun-type of weapon would require roughly 25 kg of highly enriched uranium (HEU), which is easily deployed.Part of the defense is layered detection using standoff detection.Though detection of HEU is difficult, RMD has developed a number of large-volume scintillati ...

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