Block Grant AIDOAAF1200035

This Project Grant award of $450,000.00 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research led by Carnegie Mellon University (CMU) to develop a transformative paradigm for the design of single-photon detection and imaging technologies. The key research objectives include: Establishing a scientific framework to explain "avalanche confinement" in single-photon avalanche diodes (SPADs), which can yield improved signal-to-noise ratio without...

This $479,925 federal Project Grant awarded by the National Science Foundation's Engineering program (CFDA 47.041) will support research into improving the performance and noise reduction of avalanche photodiodes (APDs) at the University of Virginia. The goal is to explore techniques to deterministically correlate the impact ionization events in APDs in order to reduce the inherent random noise that arises from the gain mechanism. The research will combine advanced material and transport...

The U.S. Department of Energy awarded a $60,161,443 Project Grant to the Arizona Public Service Company (APS) under the Grid Infrastructure Deployment and Resilience (CFDA 81.254) program. This funding will support the deployment of smart grid technologies, including reclosers, capacitor banks, voltage regulators, and sensors, to enhance grid reliability, resilience, and efficiency in the Phoenix, AZ area. The objectives of this award are to improve real-time monitoring, control, and...

This three-year, $800,000 Project Grant from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) funds the development of adaptive quantum algorithms to solve important societal problems through quantum simulation. Arizona State University will lead research to overcome challenges like ansatz selection, noise, and rugged optimization landscapes faced by existing quantum simulation algorithms. The research aims to create a family of algorithms that can...

This $520,000 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) will fund research into photon avalanching processes in lanthanide-based nanomaterials being conducted by Professor P. James Schuck of Columbia University from June 2022 through May 2025. The research aims to fundamentally understand and develop new avalanching nanoparticles through experimental characterization, theoretical modeling, precision synthesis, and hierarchical...

This $500,000 Project Grant awarded on July 18, 2024 by the Advanced Research Projects Agency-Energy (CFDA 81.135) to Rensselaer Polytechnic Institute (RPI) aims to develop a high-energy-density, fast-charging, low-cost solid-state battery that will enable cleaner, safer, and more efficient advanced air mobility. The award supports RPI's work to create a critical metal-free, conversion-type solid-state battery technology under the Innovative Grid Innovations Incubator Exploring (IGNITE)...

The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $430,000 Project Grant to the University of Tennessee, Knoxville to develop scalable single photon detection systems. The 3-year project seeks to adapt existing perimeter gated single photon avalanche diode (PGSPAD) technology to other semiconductor platforms, create a scalable detection architecture with wireless integration, and test the new devices through fabrication and simulation....

This $899,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports the acquisition of a specialized high-performance computing (HPC) cluster with state-of-the-art graphical processing units (GPUs) at Princeton University. The instrument will enable transformative research and education across diverse disciplines such as chemistry, neuroscience, and sustainable energy solutions by providing researchers...

This $134,992 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program aims to develop methods and architectural support for energy-efficient and scalable artificial intelligence (AI) systems. The key objectives are to: Leverage dynamic connectivity to reduce redundancy in AI models by adapting them to specific tasks and data. Provide architectural support for elastic processing through heterogeneous architectures...

This $274,765 project grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) establishes a foundation for efficient and intelligent unified memory design to harness the power of advanced GPU accelerators. The key products and services to be delivered include: Developing an abstraction framework called ACCORD to capture the spatial and temporal patterns of massively parallel memory accesses, enabling quantitative...