Award Data

In previous R&D, the developers created codeSpark Academy, a game that employs a visual and block-based approach with puzzles to teach coding skills to students ages 5 to 9 years old. codeSpark Academy is in widespread use in and out of schools around the world. In this project, the developers will expand storytelling creative tools within the existing game. The pretend-play scenarios will include ...

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 ...

DTRA uses High Fidelity Computer Codes (HFCC) to investigate weapon effects and techniques for countering Weapons of Mass Destruction (WMD). End-to-end HFCC simulations in support of the DTRA Agent Defeat Warfighter Capability will require calculations including multiple phenomena that occur in vastly different time scales (µ-sec to hours). As DTRA becomes increasingly reliant on computational mo ...

Purpose: In prior research and development, the project team developed Storyworld, a web-based activity with mini-games to support English Learners (EL) in language acquisition. In this project, the team will fully develop and test a formative assessment dashboard that provides teachers with insights into EL student's progress as they use Storyworld. ELs are the fastest-growing student population ...

Purpose: This project team will fully develop and test Woot Math Polls, a formative assessment dashboard that converts student math work into data-driven insights to inform teacher instruction and student learning in middle and high school algebra classrooms. Research has marked a decline in math achievement around the time students take algebra in middle school. Technological innovations that pro ...

Purpose: The project team will fully develop and test CloudLab, a web-based dashboard to present scientific data captured by sensors during experiments. The Next Generation Science Standards (NGSS) emphasize the actual doing of STEM so that students can apply learning to the real world. However, students often have difficulty collecting, measuring, and applying data from inquiry activities to furt ...

To address the DTRA need for enhanced island-mode operation and strategies for defense critical infrastructure (DCI) in the event of commercial power grid loss or disruption due to an electromagnetic pulse (EMP) or high-power microwaves (HPMs), Physical Optics Corporation (POC) has developed an Optimizing power Availability and Sustainability in Islanded Sites (OASIS) methodology. This solution is ...

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 th ...

Aret Associates and Oak Ridge National Laboratory (ORNL) propose an interdisciplinary effort to further develop and validate a robust, operational biomonitoring application that can process soil microbiome data to reliably detect episodic and low-level chronic contamination while maintaining low false alarm rate.The Phase II SBIR work will build upon the successful Phase I proof-of-concept demonst ...

For effective protection against radiated threats, it is important to understand not only the physics of the threats, but also to quantify the effects they have on mission-critical electrical systems. Radiated vulnerability and susceptibility testing requires delivery of high peak power and peak electric fields to distant targets. The most practical solution to simulate such environments on large ...