Award Data

The US Army needs a method for large scale repair and additive manufacture of Ti-6Al-4V components in support of its light weighting initiative. Cold spray metal deposition technology is a solid-state bonding technique where supersonic powdered metal is deposited on a metallic substrate through adiabatic shearing processes at low temperature. Cold spray offers an ideal solution for the Army’s ne ...

Luna Innovations, teamed with North Carolina State University’s (NCSU) Non-Wovens Institute (NWI), will meet the Army’s need to develop a novel wash durable, flame resistant, non-woven textile. This practical system will provide military uniforms with excellent flame resistant (FR) protection at a lower manufacturing cost without compromising performance such as durability, repellency, and vec ...

Developing a safe and effective malaria vaccine remains the hope for reducing the spread and resurgence of the disease. In recent years, vaccine research has broadened with subunit protein, and DNA vaccines due to their inherent safety, simpler storage and easier production at the expense of attenuated and inactivated organism based approaches. RTS, S/AS01, the most advanced subunit vaccine, has u ...

As integrated circuit dimensions shrink and U.S. fabrication facilities age, U.S. ASIC developers are increasingly turning to overseas foundries for the latest process nodes in device fabrication.This migration is especially impactful for DoD designers as critical military technology needs to be trusted and offshore fabrication has the potential to expose chips to malice during manufacture.Sensiti ...

Shared Spectrum Company (SSC), Intelligent Software Solutions (ISS), and the University of Tennessee at Chattanooga (UTC) propose to develop and demonstrate an innovative method for a large number (~50) of low altitude UAV to obtain information on spectrum use and activities. Our approach has multiple innovations: (1) ISS’s Seer, a “fuzzy” multi-hypothesis abductive reasoning system that pro ...

This SBIR Phase I project will develop generalized bio-inspired computational models and enable meta-heuristics for distributed multi-agent systems. We will draw empirical results and models for individual and collective strategies in social insects by f...

The proposed project seeks to develop an end-to-end data driven system to estimate the effects of historical and forecast the effects of future deterrent courses of action (COAs) against Gray Zone challengers. US conventional military power regularly deters adversaries from employing large-scale conventional forces against US interests; however, this success often motivates adversaries to pursue G ...

Physically UnclonableFunctions (PUFs) have been proposed as central building blocks in cryptographic protocols and security architectures. PUFs are physical devices that exhibit a challenge/responsebehavior: when presented with a challenge, the device produces a response that is a random function of both the challenge and the physical properties of the device.In contrast to most digital designs, i ...

The objective of this program is to develop flexible, high-efficiency perovskite photovoltaic modules for incorporation onto future fabric-based Army packs, tents and shelters, as well as UAVs, drones and other platforms, to provide portable, renewable electrical power and reduce the need for warfighters to carry multiple heavy batteries. During Phase I, NanoSonic and Penn State analyzed approache ...

This research project seeks to adapt signal processing algorithms developed for the detection and estimation of weak RF network signals to the application of detecting weak social media signals diffusing across multiple, heterogeneous social networking environments (SNEs). We propose to develop quantitative predictive models that capture the dynamics of information diffusion processes over multipl ...