Award Data

This STTR Phase I project will demonstrate the feasibility and effectiveness of novel biologically-inspired computational memory models for on-board exploitation of long-duration sensor data streams to enable autonomous missions in unknown environments. The key innovation in this effort is a computationally and space-efficient computational memory model that is able to: i) handle long-duration dat ...

Energy to Power Solutions (e2P) has teamed with quench detection (QD) expert Dr. Yuri Lvovsky (retired GE), Dr. Sastry Pamidi of the Center for Advanced Power Systems (FSU-CAPS), and American Superconductor Corporation (AMSC) to design, fabricate, and test a robust, reliable, and low cost QD system. e2P’s proposed system is a vastly different quench avoidance system that will provide multiple le ...

Clear Science Corp. and the University of Texas at Austin will develop and demonstrate technology that accurately quantifies aero-optical distortion associated with high-energy laser (HEL) weapons on rotorcraft and will utilize the information in designing adaptive optics (AO) systems to maximize HEL system performance over the full range of flight conditions. Aero-optical distortion arises from v ...

MZA partnered with the University of Notre Dame proposes to conduct high-fidelity computational fluid dynamics (CFD) simulations providing volumetric time-resolved aero-optical disturbance modeling for rotary-wing aircraft flow dominated by wing-tip vortices. We will develop detailed wave-optics models of a baseline Navy helicopter beam director including engineering-level simulations of the beam ...

TDA and its University partner, Cornell University, first address the stress assisted corrosion crack growth from concurrent multi-scale modeling through atomistic simulations in order to formulate and calibrate mesoscale Peridynamics model. Initially, the multi-scale CADD simulations will utilize reactive force field potentials for the 7075-T6Al in water to simulate stress corrosion cracking and ...

Images with associated text are now available in vast quantities, and provide a rich resource for mining for the relationship between visual information and semantics encoded in language. In particular, the quantity of such data means that sophisticated machine learning approaches can be applied to determine effective models for objects, backgrounds, and scenes. Such understanding can then be used ...

Integrally bladed rotors (IBR), also called blisks, are becoming increasingly common in the compressor and fan sections of modern turbine engines. The integration of the blades and disks into a single part has the advantages of reduced part count, reduced weight, increased reliability, and increased performance. However, a drawback of this technology is that individual blades cannot be easily repl ...

Trauma is a leading cause of both military and civilian mortality, accounting for roughly 10% of all deaths worldwide. Coagulopathy (disturbance of the physiologic balance between bleeding and clotting) is observed in 25% to 36% of trauma patients and significantly increases mortality. Trauma-related coagulopathy typically involves dysfunction or depletion of coagulation factors, platelets, fibrin ...

Under this STTR, Imaging Systems Technology (IST) in cooperation with Georgia Institute Technology (GIT) will develop and mature models to predict mechanical properties of refractory alloys with an eye toward tailoring these alloys for specific applications. In particular, this research will focus on addressing core aspects of Integrated Computational Materials Engineering (ICME) as it applies to ...

The objective of the work described in this proposal is to aid in the advancement of Mo-Si-B alloys for use in high temperature applications such as hot gas stream components in turbine engines. Such alloys are being characterized for their monotonic tensile properties in tension and compression as well for their creep resistance. Likewise, multiphase Mo-Si-B alloys have been studied in terms of m ...