Award Data

21CT and CUBRC propose CEDAR (Complex Event Discovery, Analysis, and Ranking), a robust framework to detect and analyze indicators of complex activities, such as an insurgent ambush observable via myriad of simple events in multiple sensor streams. CEDAR will provide a mapping from complex behavior, such as conducting an insurgent ambush or rebuilding trust in local communities, to simple event in ...

Acellent Technologies Inc. and Prof. F. G. Yuan at North Carolina State University (NCSU) are proposing to develop a Hybrid Distributed Sensor Network Integrated with Self-learning Symbiotic Diagnostic Algorithms and Models to determine materials state awareness and its evolution, including identification of precursors, detection of microdamages and flaws near high stress area or in a distributed ...

The objective of Phase I is to identify the strengths and weaknesses of the various multi-reference coupled-cluster (MRCC) methods that have been proposed for the description of molecular states depending upon near degeneracies and non-dynamic electron correlation. Such effects are encountered in bond breaking, at transition states, for complex open shell systems like transition metal atoms, and f ...

ACTA and Sandia National Laboratories propose to quantify and propagate substructure modeling uncertainty for reduced-order substructure models to higher levels of system assembly, thereby enabling predictive simulations of engineering designs with quantified margins and uncertainties for model-based flight qualification of complete spacecraft. A critical part of this process is the accurate mode ...

Small Angle Neutron Scattering (SANS) has been an extremely productive materials science probe for several decades and is used extensively by researchers studying a wide range of subjects, including polymers, ceramics, metals and biological macromolecules and functions. However, it is limited to length scales from 1 to 100 nm and requires highly collimated and relatively monochromatic neutron beam ...

Research in silicon photonics has received much attention in recent years for its potential to utilize well developed silicon processing technology. A broad range of linear and nonlinear silicon photonic devices such as modulators, splitters, switches and detectors have been demonstrated. However, the most important challenge in silicon photonics thus far is the difficulty of making electrically p ...

The purpose of this STTR Phase II project is to continue research and development on novel fire resistant thermal barrier coatings (TBC) with low temperature flexibility. Polyurethane coatings are the most important segment of aircraft coatings. Excellent

APS has assembled a world class team to address problems associated with rail gun launcher operation. APS has combined its unique processing experience with IAT's railgun design, testing and characterization experience to develop materials to improve rail gun performance. Phase I will be devoted to fabrication and testing of various samples in rail gun conditions. Phase II will focus on the manufa ...

The rotorcraft aerodynamic interaction is a complicated problem and remains an extremely challenging aspect of rotorcraft analysis. This STTR is dedicated to developing a solution for the complicated rotorcraft aerodynamic interaction problem. The Phase I research coupled a state-of-the-art vortex particle method (VPM) with an unstructured Navier-Stokes CFD body surface solver and prototyped a hyb ...

Advanced Scientific Concepts, Inc. (ASC) has teamed with the Department of Ocean Engineering at The University of Rhode Island to devise a sensor suite and computer algorithm to predict ocean waves to aid autonomous boat navigation in heavy weather. The centerpiece of the sensor suite is a Lidar designed by ASC that is adapted to image the ocean at glancing angles. It’s ability to acquire a 3D s ...