Project Grant 2324203
- The National Science Foundation (NSF) awarded a 3-year, $356,142 Project Grant to Purdue University under the Engineering (CFDA 47.041) program. The goal of this project is to study a new class of magnetic materials called chiral antiferromagnets and design novel spintronic devices that leverage their unique properties. Specifically, the principal investigator will explore the use of octupole magnetic order in chiral antiferromagnets to develop probabilistic bits (p-bits) and spin conduits...
- The University of California, Santa Barbara will conduct collaborative research on probabilistic computing through integrated nano-devices from July 2021 to June 2024 through a $270,000 Project Grant from the National Science Foundation. The research aims to advance a device-to-systems approach for probabilistic computing through integrated nano-devices. It will support investigator-initiated work under the NSF's Computer and Information Science and Engineering program, which seeks to advance...
- The National Science Foundation (NSF) awarded a $500,000 Project Grant to Northwestern University under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports the development of application-specific integrated circuit (ASIC) prototypes that leverage complementary metal-oxide semiconductor (CMOS) circuits integrated with voltage-controlled magnetic memory devices to enable probabilistic computing. The key products to be delivered through this 3-year project...
- Purdue University was awarded a $783,896 Project Grant from the National Science Foundation Division of Computing and Communication Foundations under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year grant will support collaborative research titled "COLLABORATIVE RESEARCH: FET: MEDIUM: PROBABILISTIC COMPUTING THROUGH INTEGRATED NANO-DEVICES ? A DEVICE TO SYSTEMS APPROACH" from July 1, 2021 through June 30, 2024. The research aims...
- 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...
- The National Science Foundation (NSF) awarded a $250,000 Project Grant under the Engineering program (CFDA 47.041) to the University of Arizona for the period of June 1, 2024 to May 31, 2027. The project, titled "COLLABORATIVE RESEARCH: SPINTRONICS ENABLED STOCHASTIC SPIKING NEURAL NETWORKS WITH TEMPORAL INFORMATION ENCODING," aims to develop novel neuromorphic computing architectures that leverage the temporal information encoding capabilities of stochastic magnetic devices. The...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $1,200,000 to Purdue University to develop scalable and ultra-low-power neural accelerators based on 2D ferroelectric semiconductors. The research aims to address hardware needs for future artificial intelligence (AI) platforms by utilizing the unique properties of ferroelectric semiconductors to design energy-efficient circuits and...
- This $264,338 National Science Foundation Project Grant through the Integrative Activities program (CFDA 47.083) will fund research at the University of Alabama at Birmingham to develop neuromorphic computing technologies using spin-orbitronic properties in quantum materials. The two-year project beginning in February 2023 aims to utilize spin-orbit coupling effects in emerging materials like two-dimensional and topological materials to emulate artificial synapses and neurons with nonvolatile,...
- This Project Grant award of $360,000 from the National Science Foundation's (NSF) 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 project will address critical challenges in material development and device fabrication for wafer-scale epitaxial van der Waals spin heterostructures, which have the potential to surpass the limitations of conventional...
- The National Science Foundation (NSF) awarded a $1,000,000 Project Grant under the Technology, Innovation, and Partnerships (CFDA 47.084) program to The Leland Stanford Junior University. The grant, with a performance period from March 1, 2024 to February 28, 2027, aims to develop resilient, fast-switching, and energy-efficient magnetoresistive random access memory (MRAM) chips to revolutionize mobile artificial intelligence (AI). The research seeks to address technical hurdles around thermal...
This $1,000,000 Project Grant awarded by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) aims to develop novel materials and devices for probabilistic computing, a promising approach to accelerating complex, inherently probabilistic algorithms. The primary awardee, Purdue University, will lead an interdisciplinary effort to design and optimize magnetic tunnel junction devices known as "probabilistic bits" (p-bits) based on low-barrier Heusler alloy materials that can be efficiently manipulated using spin-orbit torque. The research will integrate theory, high-throughput screening, simulations, and experimental synthesis/characterization to rapidly discover and optimize these materials for high-frequency p-bit operation. The project has three sub-awardees - UC Irvine, University of Arizona, and University of Nebraska - who will contribute specialized expertise in materials science, spintronic devices, and computational modeling to support the overall goals. The award runs from October 2023 through September 2027 with the aim of enabling compact, energy-efficient probabilistic computing hardware for future semiconductor and spintronics applications.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.0m | 9/15/23 |