Award Data

Terrorist use of radioactive nuclear materials via nuclear and/or radiological dispersion devices (dirty bombs) is a serious threat. Therefore, it is critical to detect the proliferation of nuclear material. Critical challenges facing this objective include: (a) high sensitivity detection of signature emissions (e.g., gamma rays) from common radioactive isotopes behind shielding, and (b) cost-effe ...

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 ...

Additive manufacturing (AM) is a very promising technique for rapid, low-cost production of aircraft parts directly from a CAD file. AM is especially appealing for complex parts that would be costly or impossible to fabricate by machining or casting. At the current time there are no reliable, cost-effective techniques to qualify the finished parts. Several government studies have noted this gap an ...

ABSTRACT: Future corrosion and wear protection of structural metals on on military aircraft and weapon systems will require advanced development of metallic and composite materials that are not restricted with respect to environment, safety and occupational health regulations. Conventional metallic alloys containing chromium, nickel, cobalt, and tungsten that have historically provided coating pro ...

Robotic Research, LLC (RR) and Southwest Research Institute (SwRI) are creating a prototype Learning-based Approach for Relevant Data Extraction (LARDE). The LARDE framework is a data extraction and handling framework that can intelligently reduce the volume of raw data from on-board sensors, and organize and persistently store the reduced relevant dataset.

Technology Assessment & Transfer, Inc. and subcontractors propose novel, high performance additive manufactured (AM) heat exchangers for military systems. The AM process will allow for conformal, lightweight designs that optimize use of available space. Design and modeling efforts in Phase I will identify enhanced heat transfer surfaces compatible with, and made possible by, an AM fabrication appr ...

ABSTRACT: To maintain superiority in the battle domains of space, ground, air and sea, it is natural that the U.S. move toward incorporating autonomous capabilities to enhance/replace the traditional role of humans. Continued advances in processing capability and techniques to employ decision logic and adaptive learning strategies will soon make this vision reality. To deploy any such capability o ...

This proposal describes an all optical fixed wing landing system for a aircraft carrier capable of flying an aircraft all the way to landing in a RF denied environment. The precision, reliability and accuracy of this system will allow control the aircraft without the help from the pilot all the way to touch down. It will work seamlessly with UAVs and manned aircraft that have been retrofitted with ...

ABSTRACT: We exploit recent advances in magnetoelectric/piezoelectric (ME/PE) composite materials to enable the development of efficient sub-wavelength radio frequency (RF) transmitting antennas. With these materials will be possible to achieve high dielectric permittivity and magnetic permeability, slow electromagnetic propagation and low RF loss tangents. Together, these special properties m ...