Award Data

We will develop a new infrared (IR) radiation sensor technology, which will allow the development of arrays of a new class of multi-mode thermal microbolometer detector. This technology will allow radiation detection from the near-IR to long-wave IR, a capability that is absent in competing detectors. Amorphous silicon and vanadium dioxide has been the dominant materials used for infrared light ...

Modern military and civilian aircraft technologies are pushing the performance envelope through design and use of new advanced materials with superior property combinations. Aircraft powerplant manufacturers are facing intense competition to efficiently deliver ever increasing thrust, while meeting the highest standards of reliability and performance over an expanded service life. These performanc ...

Quantitative predictions of reactive flow dynamics from large-scale simulations of Liquid Rocket Engines (LRE) appear to be model dependent. Relationships and coupling among the dominant mechanisms most responsible for destabilization are obscured by the complexities of the model and subtle consequences of inherent ad hoc approximations not supported by mathematical rationale. The reliability of ...

The Air Force Phase I STTR program would develop and demonstrate high temperature version of ‘sensor skins’ capable of multi-axis flow characterization on air breathing hypersonic engines. This would build upon NanoSonic’s successful demonstration of Metal Rubber™ transducer materials for the measurement of flow-induced skin friction and pressure at low temperatures and transonic and super ...

The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...

ABSTRACT: The objective of this effort is to develop innovative methods for deriving a sparse set of physical target features that can be used for exploitation of air to ground signature data collected from sensor systems including electro-optical, infrared, and laser radar. Current classification methods require near exact replication of the original imaging parameters, or extensive modeling in ...

The project will develop and validate a geometry scalable CNTFET compact model for HF circuit design and extract the model parameters from the measured characteristics of the fabricated devices. The ballistic and quasi-ballistic transport, quantum and parasitic effects will be accounted for the predicted performance will be compared to 130 nm RF Si-CMOS to determine the conditions for breaking eve ...

Spectral Energies proposes to design a multisensory diagnostic suite for measurements within elevated-pressure RDEs. This sensor will utilize tunable-laser absorption spectroscopy to measure temperature, pressure and H2O concentrations in the annulus of a rocket-RDE and background-oriented schlieren imaging system for flow density gradient imaging to provide time resolved information about the sho ...

The Air Force seeks three-dimensional bioprinted tissue that can accurately replicate complex multi-cell function and that can be integrated with biosensors. To address this need, Spectral Energies in collaboration with Prof. Khademhosseini of the University of California, Los Angeles (UCLA) proposes to develop an organ-on-a-chip system. The organ-on-a-chip system will be capable of accurately mod ...

This effort will investigate the use MALDI (matrix assisted laser desorption/ionization)-TOF (time-of-flight) mass spectrometer as a platform for rapid analysis of biomarkers in operational and training environments. In Phase I samples, will be acquired from human subjects under stress. These samples will be processed for analysis using our prototype portable MALDI TOF mass spectrometer. Samples w ...