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 ...

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 ...

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 ...

High-performance low-latency image processing is needed in next-generation DoD vision systems. In LLEVS Phase II, we bring low-latency digital imaging and future fusion applications to the warfighter, in a scalable small-SWaP product footprint leveraging COTS technology.We have a very detailed LLEVS FPGA design resulting from our Phase I efforts. We understand the entire critical path of the desig ...

Two-dimensional (2D) visualization techniques have limit capacity to achieve understanding of full dimensionality of the battlefield. Rewritable 3D holographic storage is promising for updatable 3D display applications. In Phase I, New Span Opto-Technology has demonstrated novel concepts of both holographic recording technique and recording material system without the use of high voltage. We have ...

Two-dimensional (2D) visualization techniques have limit capacity to achieve understanding of full dimensionality of the battlefield. Rewritable 3D holographic storage is promising for updatable 3D display applications. In Phase I, New Span Opto-Technology has demonstrated novel concepts of both holographic recording technique and recording material system without the use of high voltage. We have ...