Award Data

The United States is heavily reliant on imports of mineral commodities vital to national security and economic prosperity. Long lead times needed for adequate environmental review of new mining projects, which hinge on water quality predictions using scale-up of laboratory tests, is inhibiting development of domestic mineral supply. A critical gap in the existing approach for environmental review ...

Oceanit proposes to develop a composite polymer-based electrolyte (CPE) and composite catholyte (Cathode + Electrolyte) for high voltage (5V) electrochemical energy storage system. The composite polymer electrolyte will consist of non-carbonate solvent, PEO and LiTFSI salt for excellent low temperature performance and high ionic condcutivities. Composite hierarchical catholyte comprises of LLZO - ...

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Oceanit proposes to develop a food ingredient with high levels (>80%) of essential amino acids (EAAs) that is palatable for consumer acceptance and stable for high bioavailability.

The low growth temperature enabled by molecular beam epitaxy (MBE) is known to be useful in generating cubic crystalline nitride-based semiconductors. In 2011 Novikov applied the MBE growth technique to achieve free-standing cubic gallium nitride (GaN) templates up to 75 microns thick with a 50mm diameter using standard 1 micron per hour growth rates. In this Phase I effort, OSEMI proposes to appl ...

Oceanit proposes to develop a novel, durable concrete for use in various marine structures that incorporates a cementitious material produced from calcium-rich industrial waste streams and the direct capture of CO2. Oceanit will incorporate this carbon-negative cement with post-production or otherwise low-carbon aggregates such as fly ash, glass cullets, and/or blast furnace slag to produce a vari ...

Most AI agent systems are extremely brittle: they use hand-crafted or laboriously-learned models that cannot handle situations that deviate widely from their expectations or training set. Real-world applications required more robust and resilient methods. In the original REPAIR Phase I and Phase II projects, we developed general metaheuristics for decentralized multi-agent systems that are capable ...

Fielded sensors on existing space platforms are large and expensive, limiting the number of sensors which can be deployed, leaving them vulnerable to attacks.  By deploying larger numbers of compact, low-cost sensors on a swarm of small satellites, this w

In this program, the proposer will advance and demonstrate a cutting-edge physics-based modeling and process optimization technology to double the overall system throughput by dramatically reducing scrap associated with the finish machining operations for Carbon/Carbon (C/C) components. The proposed technology, which integrates advanced material modeling, multi-scale simulation of grinding process ...