Award Data

Owing to a unique set of intellectual property and core expertise, this Phase II team, led by Traycer Diagnostic Systems, will build and characterize a packaged, 16x16 terahertz focal plane array (FPA) for broadband video-rate imaging at frequencies up to 1.3 THz. Traycer’s competitive advantage is based on its record-performing detectors, novel antennas, and array architectures that permit a d ...

ABSTRACT: For this Phase II STTR effort, Prime Photonics and Virginia Tech propose to demonstrate a fully packaged hybrid photovoltaic/magneto-thermoelectric (PV/MTG) panel with improved energy conversion efficiency designed for solar powered air vehicles. In addition to acting as an active thermal backplane for the PV, the MTG is designed to maximize thermal to electrical conversion from the av ...

The electron transferring unit of enzymes – apoenzyme and cofactor are deeply buried inside its protein structure, therefore efficient electronic communication between the electrode and the biocatalytic enzyme is inefficient. The development of a reproducible approach that allows efficient electronic connection between enzymes and electrodes would meet the major technical needs in the developmen ...

The Air Force Phase I STTR program would develop and demonstrate high temperature version of ‘sensor skins’ capable of multi-axis flow characterization on air breathing hypersonic engines. This would build upon NanoSonic’s successful demonstration of Metal Rubber™ transducer materials for the measurement of flow-induced skin friction and pressure at low temperatures and transonic and super ...

Successful completion of this Phase II proposal will fully characterize and evaluate a material for use in RF windows on hypersonic flight vehicles. Phase II will specifically examine the materials suitability through RF testing in X, Ku, and Ka bands and at elevated temperatures to 2000°F. The desired outcome will be a material with predictable, repeatable dielectric properties over frequency ...

The machine learning and artificial intelligence community has recently garnered much attention for ground breaking performance of novel neural network architectures for self-driving cars. One of the machine learning methods used in self-driving cars is semantic segmentation. In this fashion each pixel in an image is label with a class, allowing for contour-based image segmentation which is differ ...

Using its novel carbon nanosheet technology, Luna Innovations will develop a Supercapacitor with the highest energy densities available in the microsecond to millisecond response times. Nanosheets are vertically aligned graphene sheets that can be grown on a wide variety of substrates without catalyst and have an open, accessible surface area that eliminate the resistance due to pores that cause ...

ABSTRACT: RNET and The Ohio State University propose to use algorithmic modifications and multi-level parallelization techniques and tools to improve the scalability of the aero-line/aero-elastic coupled CFD/CSD codes relevant to the DoD/AF (e.g., CREATE/Kestrel). The optimizations will address inter-node and intra-node parallelization to better target emerging compute architectures (e.g., multi ...

Target detection and recognition is a challenging problem because of changes in appearance, viewing direction, occlusion and other covariates. Systems that can accurately and efficiently detect and track objects can provide several benefits in surveillance, monitoring and other applications. As part of this effort, we propose to develop a robust learning-based approach to detect, track and recogni ...

ABSTRACT: Barron Associates Inc. proposes development of a Game-based AutonoMy-Enabled Response (GAMER) system for spacecraft protection. The effort extends leading-edge research in dynamic games to enable autonomous defensive response to space threats. GAMER introduces a hierarchical approach that enables multiple satellites to work together towards a common protection strategy in an evolving en ...