Award Data

Anthropogenic CO2 emissions are widely accepted as the primary driver of global climate change, leading to many adverse outcomes for humanity. While CO2 emissions are equally distributed within the atmosphere, the negative impacts of human-induced climate change are not, with marginalized people suffering the worst. While renewable energy technologies can reduce future emissions, large-scale atmos ...

krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for p ...

Existing airborne defense systems integrate a wide variety of sensors necessary to provide operators with situational awareness across the visual, thermal, signals, and electromagnetic spectrums. To date, individual sensor systems have been largely stove-piped, as have Artificial Intelligence/Machine Learning (AI/ML) and advanced, Size, Weight, and Power (SWaP)-optimized data processing systems. T ...

Sensor systems aboard aircrafts address unique problems and are siloed in their objectives. A data silo is a term used to describe a data system that is insulated from other data systems. While keeping information categorized may lead to easier organization, the costs often outweigh the benefits. In aviation systems, data silos often lead to miscommunication, cognitive overload, and waste. These d ...

In manned aviation environments – both military and commercial – AI support is being developed and researched for ground-based planning and operational decision support. Using AI in real-time with crews poses additional questions and issues. This research will provide the means to understand the measures and requirements to architect potential AI-Agent solutions before implementation. This fea ...

There is a large, unmet need for an energy-efficient, facility-scale mobility system that addresses the needs of underserved communities, particularly people with reduced mobility (PRM). Mobility services in airports and other large facilities, are failing to meet the needs of PRM due to rapidly scaling demand and fragmented systems that remain heavily reliant on manual labor and unreliable commun ...

This project will contribute to establishing a resilient supply chain for rare-earth elements (REEs) and other critical materials in the U.S., significantly reducing the reliance that now leaves us highly vulnerable to foreign control of rare-earth metals—the ‘vitamins of a modern society.’ Rare-earth metals enable advanced manufacturing, clean transportation, efficient computing, power gene ...

The Mobile Fuel Cell Generator (MFCG) addresses needs to increase the reliability of electricity delivery, using equitable, inclusive, sustainable solutions. To address this problem, RockeTruck is developing a portable generator that can be easily transported to deliver clean electric power when grid power is not available. This can include temporary needs, such as utility-mandated “Public Servi ...

XUV Lasers, in collaboration with Colorado State University, proposes to develop and commercialize key components for the implementation of ultra-intense laser systems operating at greatly increased repetition rates. Ultra-high power, ultrashort pulse lasers systems are the central tool driving many of the recent advances in high energy density plasma science. They enable the generation of high en ...

CdTe photovoltaic (PV) module performance has room to improve and can help the DOE in achieving its SunShot initiative. Improving the p-type doping and carrier lifetime in polycrystalline CdTe absorber material is critical to achieving PV cell efficiency to 25%. The current industrial supply chain consists of CdTe feedstock that undergoes treatments to help improve the material properties in effor ...