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 ...

Radiation effects in microelectronics are a significant concern for DoD systems that operate at high altitudes or in outer space. Typical characterization efforts focus on macroscale degradation signatures from electrical measurements at device terminals. However, a comprehensive analysis of radiation-induced physical defects is not possible based solely on terminal measurements. CFD Research and ...

There is a clear need to improve weather forecasting accuracy. The greatest contributions to forecast uncertainty is a lack of meteorological observations over remote areas and areas experiencing pronounced convective activity. StratoSolutions’ new high-altitude balloon (HAB) platform with mini-dropsonde is a disruptive new uncrewed meteorological observation data source able to collect data at ...

The vision of a Weather-Ready Nation is achieved through the synthesis of the large number of NOAA products and services into meaningful and actionable information for community stakeholders and individual populations. Many community stakeholders such as school administrators find themselves in high-stakes weather-related decision-making situations where they are left to their self-interpretation ...

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 ...

Lightning impacts many aspects of our daily lives and is responsible for billions of dollars in property and industry losses every year. This Phase II effort proposes the development of a lightning services API using data from the GOES-R Series Geostationary Lighting Mapper (GLM) and the development of short-term lightning prediction products including lightning initiation and lightning cessation. ...

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 ...

The proposed innovation uses a model-based approach to streamline understanding and application of standards. NIST standards addressing cybersecurity, presented in the form of documents, spreadsheets, and database tools, provide thousands of complimentary and overlapping items for users to track. Significant effort is expended understanding the standards before attention can be focused on the syst ...

Parman Tech will build a first prototype embodying the NIST-owned technology ‘Optical Particle Sorter.’ The prototype will demonstrate feasibility of a commercial implementation of this technology. The prototype will also serve as the model for subsequent production of several beta-units to be used for obtaining customer feedback and eventually validation of the product.

This SBIR Phase II project proposes to integrate an easy to use, inexpensive, and portable bacterial concentrator with a handheld pathogen detection system to enable ultra-low cholera pathogen (Vibrio cholerae) detection. Cholera affects communities across 41 countries, including in Yemen, where in the first 5 months of 2020 has had 110,000 suspected cases. Current methods used to detect the chole ...