Award Data

We propose a high-impact innovation for weather forecasting that integrates global ensemble weather forecasts with an AI-driven post-processing model of extreme weather indices. This innovation will provide the basis for skillful probabilistic forecasts of compound extreme weather events at extended lead times. Extreme weather/climate events of relevance to electric utilities focused on in Phase I ...

Ensemble intends to develop a proof-of concept Neutral Density Monitoring and Alert Service. To establish an innovative and accurate space weather analytics service, Ensemble has partnered with CU Boulder's SWx-TREC, who offer leading space weather research-to-operations support. Ensemble will create the foundational architecture for Neutral Density Alerts and Notifications for commercial satellit ...

"Jaia Robotics’ low-cost, micro-sized hybrid uncrewed surface/underwater vehicles called JaiaBotsTM can be deployed from the shore or vessels. The system enables truly affordable multivehicle operations that can be scaled to provide wide area synoptic data collection. In the proposed effort the project team will develop a JaiaBot which is air-deployable from sonobuoy launch tubes to collect atmo ...

A cloud based system for sharing bathymetric survey data collected by FarSounder customers is proposed as a way(1) to improve safety of navigation on our oceans, (2) to collect measurements for the broader scientific and maritime communities and (3) to generally explore and broadly share information about our oceans in fulfillment of ideas proposed in Topic 9.3 “The Changing Ocean”, and in acc ...

Anthropogenic Radio-Frequency Interference (RFI), or interference from human-generated sources, continues to plague spaceborne microwave radiometer and sounder instruments. Unmitigated RFI adversely affects the quality and reliability of Earth remote sensing data used for determining water availability, quality, and risk. Proliferation of wireless technologies, Earth-orbiting commercial satellite ...

FLame-assisted Additive Manufacturing (FLAMe) is a new method of AM in which the desired feedstock material is synthesized in a high temperature gas-phase combustion synthesis reaction and the resulting high temperature metal particles are accelerated and deposited onto a substrate in a user-defined pattern to construct a component. Gas-phase phase precursors allow for no limit on the melting poin ...

Commercial buildings use 35% of the entire US energy output, and up to a third of that energy is wasted. Rapidly rising fuel costs, increasing concern about climate change, and policy directives from the Biden Administration are all driving the need for increased energy efficiency and the elimination of waste. At the same time, the COVID-19 pandemic has dramatically increased public awareness of t ...

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 ...

Trusted Semiconductor Solutions will demonstrate how a COTS FPGA can withstand natural and manmade radiation, and how our radiation circumvention and recovery approach enables high density electronic payloads needed for next generation guided missile and space applications. We will develop a prototype FPGA demonstration vehicle that utilizes an Intel Agilex F-series COTS FPGA and our operate-throu ...

There is a critical need for innovative recommendation technology for digital data engineering artifacts and tools. To address this need, we propose design and implement the Artificial Intelligence-based Recommender System for Model-Based Systems Engineering (ARMS) software as a user-personalized context-aware content recommender system solution for Model Based Systems Engineering (MBSE) applicati ...