Award Data

Recently, the Field-Programmable Gate Arrays (FPGA) System on Chip (SoC) gains overwhelming attention in edge computing and serves as a popular solution for Internet of Things and autonomous systems because of its advantages in high performance, low power, reusability, and reliability. However, the application of FPGA to the scientific environment that involves advanced data analysis and machine l ...

Achieving exascale is critical for improving America’s economic competitiveness and making scientific breakthroughs that will have profound effects on America and the world. The road to exascale is evolving toward advanced computer architectures with diverse processors. Advanced software solutions on programming models and runtimes are needed to obtain the best performance from these new hardwar ...

Driven by new bandwidth-intensive applications such as big data, cloud applications or Internet of Things, data growth is exploding worldwide as it continues to expand into all areas of society including business, science or leisure. Key to ensure the productivity of our economic and social systems is the transportation of these ever increasing large datasets in a timely and cost-effective manner. ...

The Office of Nuclear Physics long range plans include allocation of resources to develop technology for a polarized electron-ion collider. Brookhaven National Lab proposes to develop an electron ring-ring design that requires high power RF couplers. Their present coupler design includes Beryllia windows. Beryllia presents safety concerns and added costs for handling.The material properties of Alu ...

Over the past few years several beam halo detection techniques have been invented to minimize the beam interception rate and accuracy of measurements. However, instrumentation for these measurements are complex systems and are not modular. The systems tend to be specialized for a single facility, or even a single part of a beamline. Also, these systems can hardly be reused or moved to another loca ...

Proper and efficient analysis of complex data from different quantum calculated material databases is extremely important for discovery of novel battery materials. This could revolutionize the battery field by selecting or designing effective materials for high performance and robust batteries. Our team will develop an innovative process to quickly identify top candidates for Lithium superionic co ...

Current and future research in biological and environmental (BER) domains require data ingestion of various kinds for result generation and model validation. This poses significant challenges to existing data management technologies which lack stability, evolving nature, diversity, and implicit scientific context that characterize environmental and bio- logical data. One such challenge is linking ...

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 ...

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 ...

Photocathodes provide laser-triggered pulses with high peak currents. High average currents require high QE to avoid laser-heating damage. However, QE in DC guns decays with extracted charge due to back-bombardment from gas ionized by the emitted electron beam. Thus higher current increases back-bombardment and shortens life proportionally to extracted charge. This proposal addresses the charge-li ...