Award Data

Neutron coincidence counters are currently based on 3H technology. A worldwide 3He shortage plus the need for significant improvements in performance necessitate the development of a new class of neutron detectors. We propose the use of boron-coated straw

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 ...

Of the 300 million tons of plastic produced per year most will require 500 years to biodegrade. Currently only 9% is recycled, and 50 million tons of thermoset plastic produced annually that can't be recycled. _x000D_ _x000D_ This project will develop a sustainable and easily biodegradable polycarbonate plastic that is uniquely a recyclable thermoset resin. We call it a thermosetting thermoplastic ...

In Phase II of PLATO, we will develop a prototype plan and goal identification system that employs a rich model of domain actions and events, extracted automatically from a massive amount of real-world domain-relevant information, to model agent-specific action costs and to process sequences of agent actions and events, extracted from text, as an agent plan in progress. The system will be able to ...

A shared objective in Combat Casualty Care and in Prolonged Field care is to overcome the different challenges posed by conducting of operations under austere conditions. This can be achieved in part by providing capable and functional diagnostic and treatment methods for use at the point of injury. The research described in this proposal addresses the urgent need for an improved blood analysis ...

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 ...

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 ...

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 ...