Award Data

Low-cost systems operating at video rates within W-band have remained elusive – especially for stand-off and remote applications. Real time video rate imaging requires parallel detection modalities that traditionally led to high costs and calibration challenges. Substantial advances in low-cost packaging and chip-level integration driven by commercial millimeter-wave applications can now be appl ...

In this work, we propose to develop low-cost, high sensitivity high electron mobility transistor-based W-band millimeter wave focal plane array/camera based on mature ternary III-V epitaxial materials of InAlAs on top of InP substrate. The plasma-wave detector uses well established mature technology of high electron mobility transistors which allows future integration and reduces cost. The detecto ...

The proposed effort will employ an array of broadband (W band) antennas, integrated with high-speed (subnanosecond) GaN HEMTs in an array, to detect potential threats to military personnel. The system will be low SWaP, low-cost, and will detect a NETD of 3 degrees or less, from at least 15 meters, with a pixel resolution of < 10 cm. Millimeter wave imaging has been shown to be a useful tool in the ...

Metal-semiconductor (“Schottky”) junctions have defined the “gold standard” in sensitive, room-temperature “RF” (microwave, mm-wave, and THz) rectifiers going back over a century. As such they have already been widely pursued as elements in one- and two-dimensional arrays for “RF” imaging applications, both passive and active. However, they present a limit for the maximum RF curren ...

Autonodyne has been at the forefront of autonomy in aviation for two decades, applying autonomy in every aspect of aviation. The last 5 years’ efforts have brought the same avionics, autonomy, and interfaces to unmanned aviation, both for DoD and for the emerging Urban Air Mobility (UAM and Advanced Air Mobility - AAM) market. Autonodyne was hand selected by NASA/FAA to bring our expertise in Au ...

This SBIR Phase II project proposes development of deep learning based chemical threat detection and localization framework that exploits multiple sensor data streams including imaging and chemical sensors. The proposed technologies combine deep hypernetworks and reinforcement learning techniques to fuse sensor data streams in an online fashion. The Phase II effort will focus on developing an end- ...

Engineered biological systems can enable the template-directed synthesis of biopolymers such as proteins and peptides with desirable material properties and functions. The cellular engine of this process, the ribosome and associated translation apparatus, drives the polymerization of hundreds to thousands of amino acid monomers into sequence-defined biopolymers with speed, efficiency, and accuracy ...

Project FORCIS investigates solutions to the challenging problem of few-shot object detection. FORCIS leverages synthetic training data generated by simulation engines which are dynamically parameterized to maximize utility to a downstream deep-learning algorithm. We explore this approach, inspired by advances in the Reinforcement Learning (RL) branch of machine learning (ML), and contrast it agai ...

In order to address DoD’s urgent need for decentralized generation of hydrogen peroxide for decontamination on remote sites, ChromoLogic LLC (CL) proposes to develop an aerophilic-electrode-based membrane free electrolyzer (AMeFE) as a light-weight, energy saving, and high efficiency H2O2 generator to support application of vaporized hydrogen peroxide. Unlike the regular electrolysis reactors, A ...

This proposal describes development of a scalable processes compatible with standard CMOS BEOL processes for fabrication of monolithically integrated image sensors operating between 2 and 5 microns. In Phase I, we will demonstrate the effectiveness of the process for dramatically improving quality of the materials. High EQE, low noise, and megapixel (1024x1024) image sensors will be fabricated in ...