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 ...

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 ...

This proposal is to develop a Handoff Training for Combat Casualty Care (HTC3) Framework.Training is the crux of the handoff problem today. Patient handoffs are a crucial part of casualty care, both in military and civilian environments; and today handoffs are being performed in less than optimal fashion, with ineffective communications accounting for 80% of the handoff errors. Our new HTC3 Framew ...

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 ...

Surgical simulations aiming to support surgeon practices and medical education have attracted enormous research effort over the last two decades. However, the physical reality, especially on simulating aggregated tissue interaction, is still unsatisfactory. In this proposed work, an open source surgery simulation framework, SoFMIS, will be utilized and enhanced with tissue interaction models to a ...

On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

Makel Engineering, Inc. and Sandia National Laboratories propose to demonstrate an advanced multi-modal sensor system suitable for in-situ analysis of exhaled VOCs for pilots, divers and field patients. Our proposed system will combine a micro-gas chromatograph (GC) and miniature ion mobility spectrometer (IMS) for detection of trace amounts of exhaled breath VOCs with miniature solid state sensor ...

Establish a radiation-aware analysis capability in a commercial EDA design flow that will enable first-pass success in radiation-hardened by design (RHBD) for DoD ASICs in much the same way that existing EDA design suites ensure first pass functionality and performance success of complex ASICs destined for commercial applications. Layout-aware, calibrated single-event radiation models that captur ...

BaySpec Inc., in collaboration with Pacific Northwest National Laboratory, proposes to develop an innovative orthogonal sensor systemthat would be able to detect, identify and quantify the inorganic components of breathing mixes, (i.e., nitrogen, oxygen, carbon dioxide, argon, helium, and water vapor), as well as individual detectable VOCs within the exhaled breath in real-time. The Phase I resear ...

For effective protection against EMP and HPM threats, it is important to understand the physics of the threats, and also to quantify the effects they have on electrical systems. EMP and HPM vulnerability testing requires delivery of high peak power and electric fields to distant targets. The most practical solution to simulate such environments is to develop a modular, optically-isolated MV-antenn ...