Award Data

The impacts of aerosol on cloud properties remains a major obstacle to better understanding of Earth’s changing energy budget and quantifying their impacts is a DOE objective and of broader benefit to the public. Cloud condensation nuclei (CCN) have a potentially major impact on cloud droplet number and size, and thereby affect cloud radiative properties, cloud lifetime, and precipitation. Impro ...

A lack of localized, current, and accurate information on temperature, water vapor, and liquid water from the lowest level of the atmosphere, i.e. the atmospheric boundary layer, is one of the most pressing problems of current meteorology and atmospheric science. This omission limits our understanding of the initiation of cloud droplets, ice crystals, and precipitation. More data on water vapor, t ...

Wavelength conversion is a critical enabling subsystem for quantum networks. The proposed quantum wavelength convertor is a device for converting single-photons from wavelengths compatible with atom-based quantum networking systems to wavelengths for low-attenuation transmission in optical fiber. In conventional networks, these devices impart flexibility between optical channels and maximize the c ...

In the energy industry, there currently is not a satisfactory solution for measurement of coal mass flow at the inlet of each burner of the boiler. Accurate monitoring of this fuel injection rate is important as it can provide the instantaneous feed information to the boiler and thereby the instantaneous combustion efficiency of the boiler can be ascertained. In a commercial coal-fired system, the ...

Terrestrial models of carbon stock and flux rely on detailed parameterizations using trait data to represent vegetation processes in a given ecosystem. Hyperspectral optical characterization (350-2500 nm) can quantify many of these parameterizations at both leaf and landscape scales. Traditional aircraft and large-payload Unmanned Aerial Systems (UAS) provide an excellent opportunity to utilize hy ...

The proposed project will develop a lightweight, low volume and low power consuming sensor for accurate measurements of liquid water or ice water content of clouds, water vapor concentration and local thermodynamic state of the atmosphere. It will be capable to operate from a small unmanned aircraft system platform, with instrument weight less than 6 kg and power requirement of less than 150W. The ...

The proposed activities focus on the development of an innovative compact high-resolution Nuclear Magnetic Resonance (NMR) device- Specifically, this NMR device will be capable of rural and autonomous operation and become the first lab to field survey instrument for high-resolution characterization of biological processes in living organisms- The high-resolution NMR will feature advanced supercond ...

Many IoT applications and existing cyber physical systems are enabled with wireless technologies, for example, Wi-Fi, Bluetooth and ZigBee- However, due to limited budget and relatively compact design, many IoT devices cannot afford to support multiple communication interfaces- Therefore, it is not intuitive to connect IoT applications with existing smart systems- We propose to develop a cross-tec ...

ION Engineering proposes a program that will result in an advanced transformational and environmentally benign solvent based on a completely new class of molecules as the next generation of ION’s CO2 capture technology through a collaboration with the University of Alabama. Leveraging its development program through SBIR phases I, II and III, ION will validate the technology at >10 MWe scale wit ...

Computational chemistry codes such as NWChem provide vital simulation capabilities to a wide rangeof scientists. These codes require significant compute resources, and are among the key applications being targeted for upcoming Exascale system at the DOE. Optimizing Tensor operations is a key aspect to reducing the computational requirement of these codes. The Tensor Contraction tools will include ...