Award Data

High-pressure turbulent combustion occurs in many combustion devices critical to the Air Force. Notwithstanding significant progress in computational modeling of these devices; several challenges have remained. A fundamental challenge is identification of reaction pathways and reactions in small molecule foundational chemical kinetics requiring improvements under these high-pressure turbulent cond ...

We intend to use the emerging technology of compressed sensing and related new algorithms of information science to (1)increase our capacity for hyperspectral image acquisition beyond current capacity by developing new imaging and spectroscopic systems,(2) expand the frontiers from signal recovery to new applications, emphasizing knowledge learning including target and anamoly detection, and (3)st ...

Human analysts are presented with ever-increasing amounts of data to process, taxing the limitations of human cognitive capacity. This cognitive overloading leads to increased likelihood of errors and accidents, with costly consequences in mission critical operations. Consequently, there is a rising demand for more efficient processing of increasingly large amounts of intelligence. Transcranial di ...

The main objective of this STTR effort is three-fold. First, to develop and demonstrate in Phase I a Bayesian methodology exploiting flight test data in order to identify critical store carriage tests and clear non-critical store carriage configurations by updated analysis. Second, to extend in Phase II the scope of this methodology to viscous flows with analysis enriched using analytical sensitiv ...

The DoD lacks an multi-level security (MLS) cyber information management (CIM) system capable of collecting, sharing and disseminating cyber information containing threats, system vulnerabilities and mission impacts and risks for systems operating at multiple security levels. A system that can securely collect and persist this information from various systems operating at various security levels i ...

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 ...

The proposed work aims at detailed investigation of Carbon Nanotube Field-Effect Transistor (CNTFET) device design and its impact on Radio-frequency (RF) circuit performance in comparison to Si-MOSFETs and related circuits at the same channel lengths. The goal is to establish a geometry scalable CNTFET compact model for RF circuit design and determine its parameters based on characteristics from b ...

Carbon nanotubes (CNTs) have great potential for high performance RF applications. Theoretical study has shown that the electrical current in a CNT field effect transistor (CFET) is intrinsically linear. Today, linearity is the underlying limitation in increasing the data transport densities of wireless networks. The complex modulation protocols used to achieve higher data rates requires linear am ...

Liquid Crystal Arrayed Microcavities (LCAM) are a new hyperspectral technology initiated by collaboration among Spectral Molecular Imaging, Advanced Microcavity Sensors and Montana State University Spectrum Laboratory.At the core of this revolutionary technology lie picoliter volume optical cavities that exploit liquid crystal birefringence for tuning an effective cavity length.During a Phase I on ...

ABSTRACT: The goal of this STTR is to design micro air vehicles (MAVs) capable of adaptively changing wing geometry utilizing novel active materials that overcome limitations of previous attempts at implementing practical biomimetic multifunctional structures. The basic idea of a morphing aircraft wherein the vehicle changes its shape to optimally perform in multiple flight segments holds the prom ...