Award Data

Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

Until now,much of theresearch usingfunctional near-infrared spectroscopy (fNIRS) has focused on tailoringasystem to detect onlyafew cognitivestatesand theapplication of theseapproaches outsidethe laboratory is not well tested. This solution provides severely limited coverage of thespacethat this technology could beapplied to,and is notarealistic path for developing neuroimagingasan operational ass ...

Software and hardware flaws can be exploited to make programs perform unintended computations or leak sensitive data. We propose to counter these threats by isolating libraries and other program units inside a single process. The developer will insert source-level annotations that i) map code and data units to compartments and ii) capture how each compartment is intended to interact with others, i ...

The objective of this project is to develop a capability to model fracture of materials used in hypersonic vehicles that results from hypervelocity impact while exposed to extreme temperatures. Symplectic Engineering’s approach addresses this challenge at two levels. At the computational level, a Relaxed Extended Finite Element approach is pursued to represent (possibly intersecting) fractures l ...

This STTR research study aims to enhance and apply thermo-mechanically coupled computational models for high-temperature fracture. This topic is particularly challenging in that hypersonic flight in the atmosphere generates extreme conditions over a vehicle that can affect the strength and performance the vehicle materials, both in-flight conditions as well as for cases where the vehicle encounter ...

Hypersonic Glide Vehicles (HGV) fly low and flat trajectories in an effort to evade current missile defense systems. Traditional interceptors are designed to have a 3-to-1 overmatch in regards to maneuverability, which may prove to be an unattainable design goal. Consequently, future interceptors will be armed with blast fragmentation warheads to increase probability of defeat. The effectiveness o ...

Next generation high-speed missile defense systems require advanced thermal protection systems (TPS) to meet performance objectives. The development of these advanced systems requires the continued research of high-temperature materials, i.e., silicon carbide composites, carbon-carbon composites, aluminum, and titanium. The aerodynamic heating, e.g., 2,000° F, produced by extreme velocities, i.e. ...

Current methods of validating the cyber resiliency of missile defense systems require testing of actual systems, which removes them from operation and subjects them to potentially damaging effects. Cyber ranges can be used as an alternative, but they are limited in scale, costly, time-consuming to configure and have limited capability to model wireless tactical networks and their inherent vulnerab ...

Department of Defense (DoD) cybersecurity test and evaluation (T&E) uses various cyber event environments throughout the development of a combat system to support fielding more secure, resilient, and cost-effective systems. Cyber ranges deploy cyber-attacks and achieve high-fidelity feedback on vulnerabilities present in the system without putting operational systems at risk; they support more rig ...

The proposed work will develop a massively parallelized architecture for Monte Carlo simulation of real-time fire control schedulers. The parallelized architecture will utilize the recent developments in multiprocessing/multithreading technology based on graphical processing units. The system will be designed to perform in real-time assuming non-collocated sensors observing the threats and then co ...