Award Data

We propose an innovation for a data-driven Artificial Intelligence/Machine Learning (AI/ML) model for uncrewed aviation fleet and flight operations optimization (UA-FFOpt) that will be trained with real-world data from an active flight program in the State of Michigan and at a partner cattle ranch in Florida. UA-FFOpt will leverage our existing Intellectual Property (IP), AVIATE, and NCR. AVIATErs ...

It is important to consider lithium-ion battery limitations particularly regarding temperature range, to ensure safe and successful mission outcomes. We have developed a gel polymer electrolyte that meets stringent requirements of high safety, stability, and non-flammabilitynbsp;for implantable medical devices and plannbsp;to further developnbsp;this electrolyte for use in cells operating in extre ...

Satellite platforms play a critical role in the modern defense and intelligence infrastructure, providing timely, detailed, and readily available imagery to support U.S. national security. An ever present and fundamental requirement for this type of data is automated target detection and recognition, helping to quickly locate and correctly identify targets from vast quantities of image data. Despi ...

Special Operations Forces (SOF) require an intuitive LCNC platform and tailored trainings to enable members of its operational units to prep field data for decision making. SOF are charged with conducting military missions of high significance on behalf of the United States and its allies. SOF encounter a diverse and nuanced series of data during missions and during preceding ISR operations; as su ...

NASA has previously developed its 3D-TPS conceptnbsp;which offers superior mass efficiency relative to legacy carbon-phenolic TPS.nbsp; Multiple 3D-TPS recipes developed to date includenbsp;a spun carbon:phenolic yarn constituent.nbsp; Future recipes may require alternate yarn constructionsnbsp;(denier, blend ratios, fiber chemistries, etc.) in order to tailor TPS properties to specific mission re ...

TGV proposes to build a modular testbed that can scale ultrasonic additive manufacturing and test multiple material combinations in vacuum conditions.nbsp; A lighter smaller sonotrode will be developed which will be tracable to testing on ISS or future space platforms but can serve to mature solid state welding designs and concepts in the current era

Impact Observatory recently demonstrated production of the world’s first fully automated time series of annual global land use land cover (LULC) maps at 10m resolution using deep learning algorithms applied to Sentinel-2 satellite imagery. We propose to develop an AI-powered prototype system for automated mapping and change monitoring of the world that can be applied continuously, in near real-t ...

Satellite platforms play a critical role in the modern defense and intelligence infrastructure, providing timely, detailed, and readily available imagery to support U.S. national security. A fundamental requirement for this type of data is automated target detection and recognition, helping analysts to quickly locate and correctly identify targets of interest from vast quantities of image data. De ...

Magma Space proposes to develop a novel semi-active magnetically levitated Reaction Wheel (RW) that will enable NASArsquo;s next generation of high-performance scientific/observation missions (e.g. HabEx mission). Magnetic levitation offers several advantages over classic ball bearings, such as the elimination of wear and friction, the elimination of lubricant, the longer life expectancy and the l ...

TEAM, Inc. proposes to advance the state of the art of C-C material systems and preforming methods for use in hot structure applications.nbsp; A program with parallel Testing and Process Development tracks is planned:nbsp;Testing Program:The carbon-phenolic material system from Phase I will be replaced with C-C and C-C/SiC matrix in Phase II.nbsp; (densification sub-contractor Exothermics.)nbsp; T ...