Project Grant 2611357
- The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $360,000 project grant to the Regents of the University of Michigan to conduct research advancing key knowledge and techniques for creating electronic devices for fabrication of future artificial intelligence systems. The grant supports fundamental research to explore critical device physics knowledge for the realization of new memristive switching devices (memristors) based on 2D nanomaterials, which could...
- The National Science Foundation (NSF) awarded a Project Grant of $599,980 to the University of Arizona, through the NSF Engineering program (CFDA 47.041), for the period of July 1, 2025 to June 30, 2030. The project seeks to develop a new type of neuromorphic device called "Moiré Synaptic Transistors" using two-dimensional materials. These devices aim to achieve lower power consumption, higher memory state density, more tunability, and more biomimicking functionalities compared to...
- This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $198,270.00 to support conceptualization, planning, and collaboration activities aimed at formulating a comprehensive research roadmap for a novel hybrid CMOS+X in-memory analog computing framework. The grant will catalyze multidisciplinary collaboration among experts in materials science, circuit design, neuroscience, and artificial...
- This $134,956 Project Grant, awarded on May 1, 2024 by the National Science Foundation's (NSF) Division of Computing and Communication Foundations (CFDA 47.070), supports the development of novel reservoir computing architectures that leverage ion-channel-based memristors (ICMs) at the University of Mississippi. The goal is to create brain-inspired, energy-efficient hardware for applications in signal processing, AI, and post-silicon technologies. Key objectives include understanding how ICM...
- The University of Michigan was awarded a $390,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to develop highly efficient bio-inspired edge computing systems. The project aims to leverage internal ionic, electronic, and thermal dynamic processes in emerging devices and networks to directly process spatiotemporal data with high performance, energy efficiency, and reliability. The research will focus on...
- This Project Grant award for $200,000 from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research by Southern Illinois University Carbondale (SIU) to develop hardware-constraint-aware design and optimization techniques for memristor-crossbar-array (MCA) based neural network accelerators. The research aims to bridge the gap between software design tools and the physical limitations of MCA hardware, enabling more efficient and cost-effective development of...
- The University of Oklahoma was awarded a $189,000 Project Grant by the National Science Foundation's Integrative Activities program (CFDA 47.083) on May 1, 2025. The project aims to develop a novel hybrid CMOS+X-based in-memory analog computing framework that utilizes industry-scale 3D NAND flash memory chips and academic laboratory-scale molecular memristors. This framework seeks to emulate the efficiency of the human brain by creating trillions of artificial synapses and nano-scale nonlinear...
- 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 National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program will establish a closed-loop hybrid intelligence framework that combines high-resolution optoelectronic neuromodulation and neuromorphic hardware to interface with biological neural networks and organoid models. The $225,000 award, with a performance period from June 2025 to May 2028, aims to develop engineering tools and methods that could impact AI...
- 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...
The National Science Foundation (NSF) awarded a $296,037 Project Grant under the Integrative Activities program (CFDA 47.083) to the University of Alabama for research on memristor-based computing-in-memory (CIM) for neuromorphic AI systems. The project aims to investigate the design, optimization, and fabrication of memristor-based CIM technologies to improve the energy efficiency of AI applications like ChatGPT and generative media platforms. The two-year award, which runs from December 2025 to December 2026, will support a collaboration between the University of Alabama and the Georgia Institute of Technology to advance this novel hardware-focused AI computing research. The project seeks to enhance the principal investigator's capabilities, contribute to the economic and technological development of the EPSCoR-eligible jurisdiction, and raise the overall research and educational capacity of the University of Alabama.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $296.0k | 12/29/25 |