Award Data

Achieving trustworthy and trusted autonomy starts early in the development process through performing hazard analysis, fault analysis, identifying mitigating requirements, and carefully and rigorously tracing those requirements all the way into design, models, implementation, and tests. However, traceability can be time-consuming, costly, and error-prone. To address these challenges, significant a ...

This project will advance technology for the automated assembly of large truss towers.nbsp; Assembly of truss-based structures is one of the leading candidates for establishing some of the early lunar infrastructure.nbsp; Specifically, joining technologies and robotic tools are required to enable autonomous/automated assembly of tall towers as well as shelters, domes and habitats.nbsp; Automated a ...

Compact chip-scale nano-NMR sensors to measure D/H ratio in water of outer planets based on atomistic defects in semiconductors will have orders of magnitude improved sensitivity compared to classical NMR instruments.nbsp;nbsp;Our sensors will be able to detect D/H ratio in reduced sample size as the magnetic fields generated by small samples are too small for traditional sensors to detect. Micros ...

Materials Modeling Hub (MMH) software integrates modeling, product design, manufacturing, and usage cycle into a digital ecosystem to accelerate, simplify, and strengthen ideation through implementation. When combined with a viable materials information management strategy, modeling techniques can replicate and predict experimental outcomes and material performance with growing accuracy. In indust ...

This research aims to develop decision support tools for better maintenance and planning of renewable energy generation and storage assets using atmospheric, local weather, and on-ground environmental data blended with site-, regional- and national-generation data. The study will use a combination of these data to understand the relationship between non-cloud cover based atmospheric conditions and ...

All-electrical chip-scale atomic magnetometers based on spin-coherent transport effects through atomistic defects in semiconductors will have orders of magnitude improved sensitivity if the semiconductor hosts are isotopically purified and related device parameters optimized. Current all-electrical chip-scale atomic magnetometers have room-temperature sensitivities ~400 nT/root-Hz, and the propose ...

The proposed effort concerns technologies related to cryogenic propellant production, storage, transfer, and usage to support NASArsquo;s in-situ resource utilization (ISRU) goals. nbsp;They include a broad range of applications, scales, and environments consistent with future NASA missions to the Moon and Mars.nbsp;nbsp;More specifically, the project will addressnbsp;development of a piecewise-sm ...

To harness the potential of advanced tailorable composites for lightweighting aerospace structures with enhanced performance, AnalySwift proposes to develop an efficient high-fidelity Design tool for Advanced Tailorable Composites (DATC). Building upon our accomplishments in Phase I, DATC will be developed based on the efficient high-fidelity constitutive modeling capability of mechanics of struct ...

Single-walled carbon nanotubes (SWCNT) are known to have a variety of unique functional properties with utility in applications including optical sensing, electronics, pharmaceuticals, and water filtration. However, when manufactured, SWCNT occur as a heterogenous, polydisperse material that exhibits a range of properties that diminish performance. Purification of SWCNT by aqueous two-phase (ATP) ...

We propose to use Aerosol Optical Depth (AOD) measurements as an early warning system, to cue on-site validation of the soiling station and any available meteorological (MET) station data to validate if a work order to clean deposited particulate matter is necessary. This would move from reactive maintenance – often weeks delayed, to proactive maintenance – getting ahead of the weather impact ...