Project Grant HDTRA11910035

This Project Grant award of $631,792 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program aims to develop material processes and devices that maximize the ferroelectric performance and endurance of trench capacitors for energy-efficient data storage. The key technical objectives are to: 1) Demonstrate non-planar, hafnia-based devices exhibiting greater than 10^15 switching endurance under back-end-of-line semiconductor processing conditions, and 2) Develop a...

This $370,000 Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research on improving the durability and reliability of atomic memristor devices for applications in artificial intelligence and 6G communications. The research, led by the University of Texas at Austin, focuses on understanding the mechanisms causing performance degradation in these atomic-scale memory devices and developing strategies to enhance their endurance. The project...

This three-year Project Grant from the National Science Foundation's Division of Materials Research, totaling $951,218, will fund research at Carnegie Mellon University to develop new techniques for measuring temperature distribution in nanoscale electronic devices under an applied voltage. The university researchers will use scanning thermal microscopy and scanning Joule expansion microscopy to map temperature changes in resistive switching structures and identify the operating mechanisms...

This $400,000 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) will support the development of energy-efficient quantum materials-based magnetic tunnel junctions (MTJs) for unconventional computing applications. The international, multi-institutional research team from the University of Minnesota, Indian Institute of Technology Ropar, and Indian Institute of Technology Delhi will conduct theoretical research, materials synthesis, and advanced...

This $500,000 National Science Foundation project grant supports research at the University of California, Riverside to develop novel machine learning-based electromigration analysis and optimization methods for very large-scale integrated circuit design. Specifically, the university will explore enhanced physics-informed neural network approaches for multi-segment interconnect stress analysis and full-chip electromigration-induced voltage drop modeling. Researchers will also develop efficient...

This $300,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at Colorado State University (CSU) to investigate security risks associated with data remanence in static random access memory (SRAM) used in computing systems. The key objectives of this 3-year project are to: 1) characterize the effectiveness of data recovery techniques from discarded SRAM chips, 2) develop cost-effective...

This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences Program (CFDA 47.049) aims to revolutionize computer memory by developing new materials and devices for high-density magnetic random-access memory (MRAM). The $360,000 award to the Regents of the University of California at Riverside will support the development of wafer-scale epitaxial van der Waals spin heterostructures to enable more efficient spin-orbit torque switching in MRAM...

This $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports the development of a new testing methodology to enhance the detection of internal defects in state-of-the-art integrated circuits. The research project aims to generate compact and efficient tests that can comprehensively cover a wide range of resistive defects within individual circuit cells, as well as capture the timing impact of a...

This Project Grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation supports research to advance manufacturing processes for semiconductor electronic and quantum devices at the atomic scale. Funded for $292,392 over two years from January 1, 2023 through December 31, 2024, the award supports the University of Maryland, College Park under the NSF Engineering program (CFDA 47.041). The research aims to develop robust manufacturing techniques with...

This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $650,000 to Georgia Tech Research Corporation from October 2022 to September 2025. The award will fund research into low-temperature embedded memory devices for near-memory and in-memory computing applications. Specifically, the grantee will characterize resistive random-access memory, ferroelectric field-effect transistors, and two-transistor gain-cell...