Award Data

Functional metabolic imaging of plant and microbial systems requires a sensitive, high spatial resolution microscopy method that can image metabolically important compounds in situ. This will require new chemically sensitive imaging methods to be developed. In this SBIR/STTR, we will develop a new coherent Raman-based microscopy technique that will improve ensitivity over existing stimulated Raman ...

Detailed accurate data on temperature variations and water vapor concentration distributions are needed for weather and climate forecasting. Water vapor is particularly important for predicting precipitation amounts from storms. Measurements are needed from the ground to the top of the troposphere at about 10 km altitude. Existing ground-based instruments often have measurement uncertainties due t ...

GaN-based devices are the basis of a variety of modern electronics applications, especially in optoelectronics and high-frequency / high-power electronics. These devices are based on epitaxial films grown on single-crystal wafers. The single-crystal wafer substrates are limiting because of their size, expense, mechanical properties and availability. If one could make GaN-based devices over large a ...

Statement of Problem: The US DOE has set a goal to advance photovoltaics (PV) technology to reach installed costs of less than $1/Watt. This requires module costs below $0.50/ Watt. Thin film PV provides the lowest documented production cost per watt ($0.67) of any PV technology. Module reliability has a direct impact on the levalized cost of energy (LCOE), or the cost of the energy produced by ...

The Exascale Computing Project is tasked to develop the next generation of high performance computing systems capable of computing at 50 to 100 times faster than current HPC systems. Computing at this extreme-scale will significantly enhance the value of materials modeling and simulation to basic materials research and engineering In particular, computing at the extreme scale will enable a higher ...

Understanding the genomic basis of economically important plants for growth time, crop yield, responses to drought and disease resistance is of critical importance to sustaining and improving food supplies for humans and livestock, as well as insuring sufficient raw material availability for industries that depend on plant materials, such as biofuel manufacture. Current computational methods for a ...

Computer-aided Engineering software that apply the Finite Element Method to perform a multi-physics analysis have received widespread acceptance for traditional macro-scale material systems. Challenges persist in the modeling of complex coupled processes in environmental/thermal barrier coatings (E/TBCs) used to protect substrate material against the corrosive environment in the hot section parts ...

The DOE has identified a need for thin and durable proton conducting membranes that offer enhanced energy efficiency to power zero emission vehicles. Specifically, a cost effective hydrocarbon-based alternative to expensive commercial perfluorosulfonic acid ionomers are sought. Current hydrocarbon membranes do not meet the performance or durability needed in the conditions for transportation fuel ...

Vast amounts of impaired waters are produced in gas and oil wells. Energy-efficient desalination systems are needed to treat these waters to produce fresh water and concentrated brines. Mineral recovery systems can also yield valuable critical materials as byproducts. Savengy Technologies and University of Central Florida (UCF) will develop and commercialize an energy efficient system to treat sha ...

Perovskite-sensitized solar cells have demonstrated high conversion efficiencies however the stability of device is limited compared to common PV technologies. Moisture, UV irradiation, and high temperature triggered degradation limit their commercial viability; therefore, improved cell durability is necessary for perovskite solar cell market entry. In addition, the scale-up and optimization of th ...