Award Data

The goal of this workis to establish a radiation-aware capability in a commercial EDA design flow that will enable first-pass success in radiation resiliency for DoD ASIC designs in much the same way that existing EDA design suites ensure first pass functionality and performance success of complex ASICs destined for commercial applications.Such an integrated capability does not presently exist.The ...

The objective of the proposed Phase II project is to develop a hand-held, rapid plasmonic biosensor -- a detector based upon surfaceplasmon resonances (SPR) that incorporates a new class of supercharged proteins that functionalize a low-cost, disposable plasmonicchip. Each protein is designed to bind to a pre-determined toxin with high specificity. Upon successful binding, the protein superfoldsre ...

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 ...

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 ...

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 ...

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: This project team will fully develop and test Fate and Fortune, an online class-wide intervention where grade 8 students learn algebra within a story-based game. Research demonstrates that students who do not succeed in algebra are more likely to eventually drop out of high school. When students begin Algebra I, a lack of conceptually meaning and understanding can be further reinforced by ...

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 ...

The final product will include a suite of three app-based puzzle games aligned to national math standards for number sense, algebraic thinking, and problem solving. The games will be designed for use in grade 5 and 6 classrooms where students develop and apply content expertise to solving challenges. The games will include an adaptive engine that assesses and adjusts content based on student level ...