Award Data

The overall goal of the proposed project is to develop an integrated and intelligent framework for multi-fidelity data-driven modeling, statistical model validation, and adaptive model refinement. The salient aspects of the proposed solution are: (1) use of multi-fidelity modeling to infuse partial or prior knowledge of the systems (e.g., low-fidelity data or simplified physics models) into the da ...

Using modern additive manufacturing technology, GTL proposes to develop a geometry based thermal management system to enable the development of a Morphing Rocket Throat. With this capability, rocket motors will be able to achieve the same type of throttling provided by pintle nozzles, but without the complexity and mass of a pintle. In the Phase I effort, GTL and UTK will develop a conceptual desi ...

Eos Energetics, together with the University of Colorado Denver proposes a novel combination of three technologies that enable a new design methodology to geometrically optimize rocket motor components for thermal management. We will combine simulation based on lattice Boltzmann methods, topology optimization algorithms, and additive manufacturing in a unique way that efficiently and iteratively o ...

This program will develop and demonstrate a novel modular, continuous synthesis platform that can be rapidly reconfigured to produce multiple classes of energetic materials. Continuous synthesis of energetic materials has clear safety advantages, but current approaches are slow to realize due to long process development timelines. The proposed program will develop a system integration and control ...

Quantum technology will become a key enabler of future Air Force superiority. Topological insulator (TI) qubits are inherently stable and fault-tolerant because they exploit local topological symmetries and global boundary conditions of chalcogenide materials to yield unique, emergent quantum states. Wake Forest University and Streamline Automation have been working collaboratively for the last se ...

This task seeks to develop advanced teaming via machine learning between small unmanned air systems and Non Line-of-Sight (NLOS) munitions in GPS denied Environments. Current precision targeting capabilities are robust to state errors from ISR targeting platforms and weapons systems seeking to passively acquire a target. Visual Based Navigation (VBN) provides required state information in GPS deni ...

Quadrus Advanced Manufacturing, LLC (QAM) is pleased to present this proposal for demonstrating an innovative approach for designing and manufacturing a rocket motor refractory metal component that simultaneously exhibits low production cost, light weight and low effective thermal conductivity. This pintle, which can be tailored for use in any controllable propulsion system, will feature an intern ...

The DoD has identified a need to develop radiation hardened electronic components capable of surviving and operating through exposure to radiation environments encountered in space. To protect these electronic components, systems typically employ a combination of methods for radiation protection. International FemtoScience (FemtoSci) proposes a practical solution to produce Inherently Radiation Ha ...

Thermally induced fatigue and residual stress introduced during fabrication are sources of failure in microelectronics, which raises reliability concerns for MDA and its system integrators. CFDRC has teamed with experts in the reliability of microelectronics packaging to develop a physics based modeling and testing protocol to correlate material properties and thermal loading conditions to stress ...

The modern warfighter faces the constant threat of endemic infections, multi-drug resistant bacteria and Biological Warfare Agents. In order to provide accurate front-line treatment that will curtail the overuse of antibiotics, a rapid and robust molecula