Award Data

As the Army pivots to larger combat operations, the increased scale and complexity of multi-domain operations (MDO) has heightened the difficulty of synchronizing collection and operations across domains. Commanders conducting planning are limited by “human bandwidth,” which can degrade the quality of plans and desynchronize operations. Unfortunately, the policies learned from many current AI ...

As the use of machine learning (ML) models proliferates in commercial and defense applications, the United States Army (Army) faces significant challenges in evaluating the effectiveness, robustness, and safety of these ML models in armament systems. For the Combat Capabilities Development Command (CCDC) Armaments Center, the decision to enable automated choices in these systems, which encompass l ...

We propose to develop a compact, integrated ion trap quantum system for quantum sensor, timekeeping, and processing applications. To do so, we leverage ColdQuantas expertise in miniature ultra-high vacuum (UHV) and atom chip technology and Duke Universitys expertise in microfabricated surface ion traps and quantum information processing experiments. We will produce designs and implementation pla ...

Biological weapon attacks are a continuing threat to the US military and homeland security. Current fluorescent detection technology has poor performance against spore based bioweapons threats. PCR, immunoassay, and lab-on-a-chip detection technologies are accurate, but are slow and require a constant stream of expensive reagents.

Physical Sciences Inc. (PSI) and the University of Wisconsin-Madison (UW-Madison) propose to develop and demonstrate vat polymerization capabilities with an ultra-violet (UV) curable energetic polymer binder that will be used to produce gun propellant grains. Vat polymerization will present the opportunity for performance gains through highly engineered complex structures. Formulation trade studie ...

Physical Sciences Inc. (PSI) and Duke University propose to develop a hybrid, multifunctional, ultraviolet (UV) beam conditioner intended for laser beam switching, deflection, and frequency shifting for quantum computing applications. The beam conditioner consists of three functional blocks, separating the technology for frequency control, fast amplitude control, and electronic beam shuttering int ...

The ability to accurately design and predict the performance of combustion-based machinery like gas turbine engines is important in improving their performance, increasing their fuel economy, lowering operating costs, and decreasing pollutant emissions. Almost all of the flows are turbulent in industrial combustion applications, therefore understanding the interaction between turbulence and combu ...

The key innovation proposed in this STTR effort by Intelligent Automation, Inc. and Duke University is a hybrid level set based algorithm to achieve dynamic perimeter surveillance within a region by constructing an evolving function based on the perceiveddensity of a phenomenon. Drawing on state-of-the-art image processing methodologies, the hybrid solution offers the flexibilities of an Eulerian ...

In the phase I effort, IAI successfully demonstrated the feasibility of co-operative swarm based approach to boundary tracking. This approach is relevant to applications such as tracking oil spills using a swarm of robots, tracking enemy troop movement using a swarm of UAV's (Future Combat System (FCS) type scenario), and tracking of static and moving mine fields . In Phase II, we continue our ef ...

Nano Terra and the El-Shafei group (North Carolina State University) propose to demonstrate, optimize and expand a universal platform for textile functionalization. The approach is one developed in the El-Shafei group that has already been explored for its utility in cotton, nylon-cotton blends and polypropylene. The functionalization method imparts a high-level of flame retardancy (without haloge ...