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 ...

The Sonalysts Team proposes to investigate, design, and develop a training system leveraging state-of-the art game and agent-based technologies with"TRILOGY,"a Modeling, Simulation, and Training (MST) system capable of three core capabilities: training, rehearsal, and analysis/CONOPS development. Sonalysts will leverage their latest commercial-off-the-shelf (COTS) game engine, Simulation Engine I ...

San Diego Composites (SDC), Inc. is teamed with the University of Maine and Raytheon Missile Systems to provide the solution for corrosion of Missile Defense Agency assets in harsh marine environments: innovative design and application of high performing composite components. It is well known that composite materials are inherently corrosion resistant and possess superior properties that can be ...

The objectives of our Phase I effort are to characterize target sensor measurement uncertainties and feature extraction uncertainties; determine how and where, in the processing chain, these affect target discrimination and classification; show how the different sources of uncertainty lead to the cumulative uncertainty in the final decision; provide techniques that will be instrumental to optimizi ...

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 ...

The goal of this project is to develop a robust, compact, light-weight Micro-Electro-Mechanical Systems (MEMS) - based subsystem for fine pointing of high power laser phased arrays. This will facilitate the use of airborne high-energy laser weapons systems for ballistic missile defense. The principal innovation to be introduced is an array of enhanced MEMS mirrors that permit very high resolution ...

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 ...

Peregrine will rely on advanced composites with unique dampening factors and our experience with kinematic mounts to develop and fabricate a state of the art, ultra-lightweight optical bench. This will be a high stiffness, and lightweight optical support structure capable of flying on unmanned aerial vehicles (UAVs) at high altitudes. It will have mounts capable of yielding less than a few hundred ...

Airborne optical benches must provide high levels of stability to ensure the mission success of sensitive optical equipment. Optical structures used in high altitude Unmanned Aerial Vehicle (UAV) platforms must remain especially robust due to the significant environmental changes between ground level and high altitudes. The goal of this program is to design a lightweight optical bench capable of r ...