Award Data

Soar Technology, Inc. (SoarTech) and Georgia Tech Research Institute (GTRI) will research and develop a digital assistant (quot;Adaquot;) that can help NASA experts search for and effectively use scientific and technical information (STI) in their work. Ada can provide cognitive support in high-effort search tasks, like examining details of more sources, and use tasks, like applying search results ...

The goal of this project is to develop a medium-fidelity, engineering level computational tool that will provide NASA researchers with an efficient instrument for testing, optimizing, and finalizing the E-Sail configuration, and further assist in the navigation and control design. The core of the tool is a computationally efficient parallel 3Dnbsp;Particle-In-Cell (PIC)nbsp;code. The relatively sl ...

Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

In this proposal, researchers from Cascade Technologies and Stanford University outline a multi-year research plan to develop large-eddy simulation (LES) tools to predict and understand combustion instabilities in liquid-propellant rocket engines. Rocket instabilities are a notoriously complicated, multiscale problem involving nonlinear interactions between transcritical multiphase flows, turbulen ...

Innovators working to revolutionize air travel through personal aviation pioneers need innovative aircraft design tools. Vehicle Sketch Pad (VSP) is an aircraft geometry tool for rapid evaluation of advanced design concepts. VSP will be extended to include support for the modeling of aircraft structural layout and a modular system for integrating engineering analyses. These modifications will a ...

An automated mobile air quality (AQ) sensor array will provide high quality environmental data within the confined physical parameters of a space habitat. Project results, including generated data, will be used to develop algorithms for artificial intelligence (AI) which will ultimately automate monitoring of experiments as well as life support systems on the International Space Station (ISS), the ...

In response to NASA STTR topic T4.04, subtopic 1 - Autonomous operations and tending of science payloads, Stottler Henke proposes to developnbsp;Autonomous Payload Operations for Gateway ExperimEnts (APOGEE),an operational concept, system architecture, and integrated set of software components for enabling autonomous payload operations on the Lunar Gateway. APOGEE will automate short-term planning ...

During the proposed Phase I research and development effort, the project team will integrate previously demonstrated technologies into a stage 4 propulsion system for an existing Small Launch Vehicle (SLV). The resulting fourth stage will meet launch vehicle requirements for Mass Fraction and Specific Impulse. Key stage component will be fabricated and demonstrated. The propulsion system will be ...

The proposed Bifunctional Regenerative Electrochemical Air Transformation for Human Environments (BREATHE) for life support and habitation is part of the atmosphere revitalization equipment necessary to provide and maintain a livable environment within the pressurized cabin of crewed spacecraft. Sustainable Innovations (SI) has developed a novel solid state technology for gas compression based on ...

Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...