Award Data

krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for p ...

This Phase II work will develop a methodology for radiation hardness testing of microelectronics. This methodology includes understanding of device physics and irradiation sources, as well as utilization of irradiation facilities and dosimetry of irradiated microelectronics. The methodology necessarily incorporates design of testing procedures, development of experimental setups including microele ...

In Phase II, the Attollo team proposes to investigate the growth and fabrication techniques of LWIR SLS and associated variants to meet the target objectives. Our plan is to push the envelope further by increasing the absorption coefficient, improving the material quality and carrier lifetime, and reducing any surface leakage contribution from detector fabrication. At the end of Phase II, we expec ...

The innovation proposed here is a novel carbon-carbon composite (CCC) manufacturing method based on polymer infusion and polymerization (PIP) using a novel precursor polymer with exceptionally high char yields. This results in a material that has the promise of excellent quality and mechanical properties, while offering the breakthrough advantages of (1) greatly reduced or eliminated need for back ...

This topic identifies the need creating a Modeling and Simulation (M&S) development and execution environment that significantly decreases the time to execute statistically significant batches of stochastic simulation runs for the purpose of estimating scenario output and outcome distributions while improving statistical knowledge of the outcome distributions. The strategy sought by this topic is ...

To advance simulation techniques, such as high-fidelity computational fluid dynamics (CFD), to accelerate maturation of DACS design through design-time trade studies, there is a need for new, test-validated models that improve both computational performance and the accuracy of the reacting jet in hypersonic crossflow simulations. ATA and CUBRC (a research institution with leading expertise in aero ...

The U.S. missile defense system (MDS) includes various assets located at sea, on land, and in space that provide global coverage against missile threats to the U.S. and its allies. Elements of the MDS create a layered defense capability providing detection, tracking, discrimination, and intercept capabilities against missile threats. As the MDS and its elements continue to grow and evolve to keep ...

Deep Labs recognizes USSOCOM’s challenge to process multiple data and communications inputs for optimized decision making, and to support rapid on-the-move abilities to learn and communicate knowledge to enhance tactically relevant situational awareness in peer/near peer environments. Deep Labs has proven this capability across complex challenges in the world’s largest commercial enterprises a ...

Multi-Dimensional Event Sourcing & Correlation - Publicly Available Information (PAI) (MDESC-P) will support collection jointly across disparate PAI sources with coordinated cueing of more constrained intelligence, surveillance, target acquisition, and reconnaissance (ISTAR) sources. The primary objective for MDESC-P is to deliver a scalable and automated PAI collection management solution using a ...

Conventional imaging systems require large amounts of memory and power to run, bio-inspired systems can maintain performance while reducing the size, weight, and power requirements. In this project, Areté proposes the development of a fully bio-inspired vision system for missile detection and tracking. By combining Areté’s expertise in detection algorithms with the University of Tennessee TENN ...