Award Data

Recent years have seen a shift in threats to US national security. Today increasing focus for national security is management of terrorist activities. Deliberately exposing a civilian population to chemicals and explosives to cause harm represents a looming terrorist threat. Early detection and identification is a difficult but essential element to minimizing the threat. The Seacoast Science/U ...

In this STTR program, Structured Materials Industries, Inc. (SMI) and our partners are developing commercially viable fabrication technology for oxide heterostructure based nanoelectronic devices. Oxide heterostructures, consisting of a polar oxide such as LaAlO3 and a non-polar oxide such as SrTiO3, offer a novel route to building nanoelectronic devices. The benefits of these devices will inclu ...

In this STTR program, Structured Materials Industries, Inc. (SMI) and Cornell University are developing a flexible graphene film deposition system, for both research and production applications. In Phase I, our team demonstrated technical feasibility of scaling existing graphene process technology at Cornell to large wafer sizes. We demonstrated high quality graphene films by both silicon sublim ...

Recent years have seen a shift in threats to US national security. Today increasing focus for national security is management of terrorist activities. Deliberately exposing a civilian population to chemicals and explosives to cause harm represents a looming terrorist threat. Early detection and identification is a difficult but essential element to minimizing the threat. The Seacoast Science/U ...

ABSTRACT: We propose to develop an assured information sharing framework for cloud-based systems that leverages our ongoing work in the areas of policy-based usage management and semantic interoperability. The development of this framework will involve the creation of a novel approach to information sharing that treats security as a commodity that can be dynamically provisioned within the cloud, ...

Toyon Research Corp. and the Penn State Univ. propose research and development of innovative algorithms for classifying objects and activities observed in high-dimensional data extracted from multi-sensor motion imagery. The proposed algorithms include novel feature clustering techniques to enable effective characterization of intra-class and inter-class appearance variations in datasets containin ...

The problem addressed in this effort is to automatically learn historical ephemeris space catalog time, position, and velocity entity track update error uncertainties (i.e., without track error covariances) and to automatically (e.g., without expert event labeling) produce: – unmodeled non-gravitational space catalog update flags – abnormal unmodeled catalog update flags with abnorma ...

ABSTRACT: In Phase II, we will fabricate a SQUID array antenna. We will develop cryopackaging and control electronics for these devices. We integrate the device onto a cryocooler and build a laboratory prototype. We will then have all of the building blocks to build a fieldable prototype in Phase III. BENEFIT: Military Application: Microwave Communication Systems for ISR. Commercial Application ...

ABSTRACT: RNET and The Ohio State University propose to use algorithmic modifications and multi-level parallelization techniques and tools to improve the scalability of the aero-line/aero-elastic coupled CFD/CSD codes relevant to the DoD/AF (e.g., CREATE/Kestrel). The optimizations will address inter-node and intra-node parallelization to better target emerging compute architectures (e.g., multi ...

The objective of this project is to develop a practical finite element-based simulation of spin-pit tests of disks. The performance of disks in spin-pit tests critically depends on localized effects, such as residual stresses, dislocations, and microstructure gradients. Therefore, a two-scale modeling approach is adopted. At the global-scale, the disk is represented by means of finite elements wit ...