Award Data

ABSTRACT: We propose here a robust production-level high-order mesh generation software for complex geometries. High order accurate numerical methods are becoming increasingly popular in the present time and have demonstrated a great measure of success in efficient error-controlled simulations for a wide variety of important problems. A curved geometry and mesh generation system is essential in m ...

ABSTRACT: Spectral Sciences, Inc. and Sandia National Laboratories propose a Metal Vapor Ionospheric Control System (MVICS) for on-demand turbulence suppression and control of ionospheric RF propagation. The system uses a lightweight, throttleable directional mechanism for controlled production and dispersal of artificial plasma into the space environment. MVICS relies on three innovations: a nove ...

ABSTRACT: Electro-optic/infrared (EO/IR) sensors are key to the mission success of future hypersonic vehicles. Although EO/IR sensors have been extensively used for subsonic flight regimes, the hypersonic flight regime creates new conditions and complexities with significant impact on optical sensors. These complexities include turbulent, high temperature gas that is in Non-Local Thermodynamic Equ ...

ABSTRACT: The Triton team proposes to develop techniques for fabrication and characterization of high performance biofunctionalized field effect transistors (bio-FETs) for sensing applications. Nanoscale electronic materials such as silicon nanowires, carbon nanotubes and graphene are promising materials for biosensing applications. Field effect transistors (FETs) using nanomaterials have been de ...

ABSTRACT: The sensor system requirements for image based navigation that uses passive millimeter wave imaging radiometry will be established based on existing RelNav and AbsNav algorithms that were demonstrated to work in multi-modal imagery. Existing flight data will be used to simulate the PMMW imagery for these tests. A preliminary design of such a PMMW system will be created. Under Phase-II th ...

ABSTRACT: LongShortWay Inc and NorthEastern University propose new feature clustering methods that improve performance of motion imagery classifiers. Developed algorithms will be demonstrated on AFRL Minor Area Motion Imagery (MAMI) data; BENEFIT: Enhanced classifier performance, robust feature selection

ABSTRACT: Designing an efficient and effective film cooling system to protect critical components of modern rocket engines requires a significant number of challenges to be addressed. Complicating the already difficult hydrodynamic challenges, thermal cracking of hydrocarbon fuels is always accompanied by coke formation. The coke deposits on the combustor and nozzle walls reduces heat fluxes and c ...

ABSTRACT: This project will develop and demonstrate a software package based on coupled Fokker-Planck (FP) - Fermi Kinetic Transport (FKT) models and full-wave Maxwell electromagnetic (EM) solver to accurately predict semiconductor device behavior from dc up through the mm-wave and THz frequency ranges. The FP model provides accurate non-equilibrium occupation functions for hot electrons with real ...

ABSTRACT: Carbon nanotubes (CNTs) have great potential for high performance RF applications. Theoretical study has shown that the electrical current in a 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 amplifiers. Increasing ...

ABSTRACT: In this proposal, researchers from Cascade Technologies and Professors Matthias Ihme and Ali Mani from Stanford University lay out a plan to develop predictive modeling tools for transcritical flows. Phase I of the three phase plan is outlined in detail and extensions are proposed for Phases II and III. Central points of the Phase I plan include: A comprehensive review and assessment ...