Award Data

ABSTRACT: An experimental and computational effort is proposed to develop a data-driven experimentally-validated framework for analysis of plastically bonded energetic materials at meso and micro scales. A unique data-mining strategy and model reduction technology based on thermodynamics and manifold learning techniques and on nonlocal dispersive reduced order model will be devised. Reduced order ...

This Small Business Technology Transfer program will develop a spectroscopic polarimeter-on-a-chip using novel plasmonic resonant cavities sensitive to linear polarization over a narrow wavelength range. Spectral selection will be possible through geometric scaling, with this work concentrating on the visible to near infrared wavelength band. Dielectric gratings with subwavelength period will act ...

The objective of this proposal is to develop advanced radiation transport modeling techniques that accurately and efficiently treat transport in media having widely varying optical properties; in particular, hot gases and plasmas with optical depths ranging from the optically thin to the optically thick regimes. We will develop a hybrid diffusion-Monte Carlo (HDMC) model that efficiently transpor ...

ABSTRACT: Clear Science Corp. and Princeton University propose to develop and demonstrate software that accurately and efficiently simulates the full set of physics associated with aircraft flight operations. The critical attributes of the proposed framework are accuracy, computational efficiency, and inclusiveness. More accurate computational models will support higher fidelity analysis during ...

latereThis proposal describes the development of a process to synthesize low defect Ge1-xSnx and SiyGe1-x-ySnx layers on silicon and silicon-on-insulator (SOI) substrates through low thermal budget laser and rapid thermal annealing/crystallization for high performance mid-wave infrared (MWIR) photo detectors and integrated Si-based optoelectronic devices. In phase I, we demonstrated synthesis of G ...

Recent technology advances have enabled the simulation community to achieve greater realism in virtual training environments, including physics-based simulated sensor views. As new methods for sensor view generation are developed, the lack of readily available supporting data to populate these specialized techniques limits their implementation. Currently the capability is not available to efficien ...

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: 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, ...

ABSTRACT: This effort is to investigate advanced cyberspace capabilities that can integrate global and theater resources in support of the combatant commander in order to provide operators with robust situational awareness, control of the electromagnetic (EM) spectrum, and maneuverability in cyberspace. A prototype spectrum exploitation/control and cyber security capability will be developed for ...

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 ...