Award Data

The promise of personalized medicine can be realized in part via point-of-care 3D drug printing, but only if there are reliable quality measures available. Children and seniors may need custom or easy-to-swallow doses, a need now addressed only in a limited way by ad-hoc in-pharmacy compounding. Compliance-targeted enhancements such as flavor and shape choices are particularly important for childr ...

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 ...

Prescribed burns are a critical aspect of land management, but they require vegetation data that is hard to obtain at high resolution and on the timescale required. Our autonomous UAV collects critical fire modeling variables through subcanopy flight, enabling rapid surveys for faster and safer burn planning. In Phase I, we proved the feasibility of mapping live fuel moisture content (LFMC) with s ...

Environmental monitoring and forecasting for marine, coastal and terrestrial environments plays a critical role in informed decision making for a wide range of stakeholders in government and regulatory agencies, private industry, and the scientific community. The need for high-quality rapid data and analytics is becoming increasingly important in the face of a changing climate, which threatens to ...

There is tremendous potential to manufacture printed electronics in a more sustainable, flexible, faster, and less costly way. However, innovations in materials have been required for full scale manufacturing. In their successful Phase I, ChemCubed (C3) developed a nanocomposite dielectric with electrical and thermal properties similar to those of FR4 boards currently used in PCB manufacturing. In ...

The ability to quickly test materials during new technology development would provide actionable insight that would significantly reduce materials and device design iterations and accelerate time-to-market. However, conventional characterization and test methods are increasingly ineffective when applied to structures less than 100 nanometers, causing challenges across R&D, process control, and fai ...

Atmospheric Rivers (AR) transport large volumes of water vapor outside the tropics and, when making landfall, produce large quantities of rain that replenish aquifers, contribute to beneficial increases in snowpack, yet can cause flooding and significant damage to property and lives. Accurate forecasts of precipitation during landfalling ARs are critical because of their large role in water supply ...

We propose the continuation of development for the Autonomous Data Acquisition and Processing Technologies (ADAPT) payload. This open source system will manage data collection from onboard sensors, particularly imaging sensors, and provide actionable intelligence by enabling in-flight, real-time application of DNN image processing to support a variety of missions. We will substantially reduce the ...

Poseidon Systems, LLC is seeking the support of National Institute of Standards and Technology (NIST) for development of a portable grease sampling system. Under this effort, Poseidon and partners will develop and test an initial version of the system. The system will interrogate the manually collected grease sample with an adapted FerroQ ferrous metal debris monitoring sensor, plus other key meas ...

In order for manufacturers to unlock the promise of AI for data-driven decision making, they need visibility into large volumes of unstructured knowledge trapped in technical language like work order notes. The process of annotation and knowledge extraction from unstructured technical language data is currently a time consuming and challenging bottleneck to adopting machine learning at scale. In N ...