Award Data

ABSTRACT: MicroLink and its collaborators, Rochester Institute of Technology and Magnolia Solar, will develop a high-efficiency, single-junction, epitaxial lift-off (ELO) GaAs solar cell by incorporating nano-scale features, such as quantum dots and optically functional textures, within the solar cell structure. The principal technical objective of the project is to increase the AM0 efficiency o ...

ABSTRACT: CU Aerospace (CUA) and team partner the University of Illinois at Urbana-Champaign (UIUC) propose to perform research, development and demonstration of experimental quenching free measurements of heat-release in a realistic highly turbulent plasma-assisted flame. Kinetics models will be correspondingly updated and detailed 3D multiphysics simulations will be validated by the measuremen ...

ABSTRACT: Living systems rely on pervasive vascular networks to enable a plurality of biological function, exemplified by natural composite structures that are lightweight, high-strength, and capable of mass and energy transport. In contrast, synthetic composites possess high strength-to-weight ratios but lack the dynamic functionality of their natural counterparts. CU Aerospace, with team partne ...

MicroLink Devices and the University of Notre Dame propose to develop an ultra-lightweight, high-efficiency, GaAs-based, multi-junction solar cell that will be suitable for use in future platforms requiring very high specific power (>3.0 kW/kg) and very high areal power density (>370 W/m2). We will achieve this result by reducing the metal content of MicroLinks current inverted metamorphic (IMM), ...

Utilizing a novel solid/gas source CVD reactor designed for the growth of large area (substrates up to 4"in diameter) MoS2 single layer (SL) and multiple layer (ML) films, and leveraging already demonstrated capabilities in the growth and fabrication of 2D-FETs based on graphene and WSe2, we are proposing the growth, fabrication and testing of MoS2-based RF FETs. Utilizing a novel and optimized s ...

ABSTRACT: The Sonalysts team proposes to develop a solution that facilitates the flow of data between different levels of classification while improving and ensuring both security and data integrity. Our approach involves a set of protocols that provide a unique and disruptive combination of multichannel data dispersion and multi-classification data management techniques to meet our objectives. ...

Two-electron reduced-density-matrix (2-RDM) methods represent all of the electrons in any molecule or material with only two electrons by replacing the wave function by the 2-RDM as the basic variable for quantum many-electron theory. The 2-RDM methods, developed by David Mazziotti at The University of Chicago with support from the Army Research Office, have polynomial scaling with system size, al ...

ABSTRACT: Corvid Technologies, in partnership with Clemson University"s combustion modeling group, is pleased to offer a physical sub-model evaluation and development plan for turbulent combustion applications relevant to the Air Force. We will leverage the computational resources and combustion modeling expertise from both parties to evaluate the current state of combustion modeling and then tra ...

Eno River Technologies and Duke University propose to develop Hybrid Boolean Network (HBN) technology for ultrafast physical random number generation. HBNs are circuits composed partly of unclocked logic elements that exhibit chaotic dynamics and clocked elements that provide readout and synchronization to the system bus. It is hypothesized that the chaotic elements amplify electronic noise in t ...

The Sonalysts Team proposes to investigate, design, and develop a training system leveraging state-of-the art game and agent-based technologies with"TRILOGY,"a Modeling, Simulation, and Training (MST) system capable of three core capabilities: training, rehearsal, and analysis/CONOPS development. Sonalysts will leverage their latest commercial-off-the-shelf (COTS) game engine, Simulation Engine I ...