Award Data

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 ...

A compact laser driver will allow photoconductive semiconductor switches to be used in small EMP simulator "building blocks" (EMPBB). Combined with a battery powered on-board pulsed power system, these EMPBBs will allow the construction of flexible EMP test facilities with nothing more than a single fiber optic timing connection to each EMPBB.

This project team will develop and test a prototype an online platform to facilitate engineering project challenges within K–12 classrooms across many schools. The prototype will include a content management platform to enable a high volume of challenges for students to conduct projects on a broad range of STEM topics, such as computer coding, digital modeling, or producing simulations. In a pil ...

This SBIR addresses EPA’s need for improved sampling and analysis technologies to detect Per- and Polyfluoroalkyl Substances (PFAS). PFAS are used in firefighting sprays, at airports, and for wild fires, and have been used in textile treatments (e.g., it is a component in Scotchgard). It is estimated that 65 million Americans are at risk of PFAS exposure in their drinking water. Seacoast propose ...

This program will demonstrate how additive manufacturing technologies can be used with reactive and high energy materials to create rapid and flexible fabrication of payload and munitions. Our primary approach to this problem will be to use powder bed binder printing techniques to print reactive structures. The anticipated feedstock will consist of composite particles containing all reactant spe ...

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 ...

In prior research and development, the team and their partners developed EdSurge Concierge, an online platform to facilitate school improvement. With this Phase I funding, the project team will develop and test a next prototype of the platform with improved capability to generate information administrators need to make decisions on selecting technology tools to drive school improvement. The protot ...

Purpose: In previous research and development, the team created LiveSchool, a technology for teachers to report student behavior in their class. In this project, the team will fully develop and test ClassCoach, a dashboard for administrators to track student behavior and to recommend resources teachers can use to address student behavioral needs in their classes. Over the past several years, schoo ...

In this proposal, we aim to validate the human gut microbiome and arid soil as a source of antibiotic natural products (NPs ) by using ametagenomic NP discovery platform developed at Radiant Genomics. Recent studies suggest that the genomes of uncultivated microorganisms,like their cultivated counterparts, encode an enormous number of NPs. Gaining systematic access to NPs using standard, cultivati ...

The capabilities of modern x-ray light sources have opened up new areas in the study of the temporal evolution of complex materials under dynamic loading, which require detectors with high sensitivity, wide dynamic range at frame rates approaching the bunch repetition rates of modern light sources and detection at x-ray energies above 20keV.However, the capability to do such research is limited by ...