Project Grant 2521469
- This $374,060 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports the development of a novel "diffusive ferroelectric field-effect transistor (DFEFET)" device that integrates short-term and long-term memory to enable energy-efficient hardware for artificial intelligence applications. The interdisciplinary project aims to advance two key computing paradigms - spiking neural networks and physical reservoir computing - with the...
- 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...
- 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) Division of Electrical, Communications and Cyber Systems awarded a $385,000 Project Grant to Northwestern University to develop cross-layer techniques from device to circuit and architecture for the large-scale integration of ferroelectric field effect transistors (FeFET) with complementary metal-oxide-semiconductor (CMOS) technology. This research aims to enable emerging computing applications, such as AI, robotics, augmented/virtual reality, and autonomous...
- The National Science Foundation (NSF) awarded a $266,000 Project Grant to the Georgia Tech Research Corporation, doing business as the Office of Sponsored Programs, under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports the development of a compact and energy-efficient "compute-in-memory" accelerator for deep learning applications leveraging ferroelectric vertical NAND memory technology. Key objectives include designing and evaluating...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Integrative Activities program (CFDA 47.083) to the University of South Alabama. The two-year award, effective January 1, 2025, supports research on memristor-based computing-in-memory (CIM) for neuromorphic systems. The project aims to investigate the design, optimization, and fabrication of memristor-based CIM technology for energy-efficient artificial intelligence (AI) computation, with a focus on emerging AI...
- The National Science Foundation (NSF) awarded a $268,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Notre Dame DU Lac's Notre Dame Research Division for a 4-year collaborative research project on developing a compact and energy-efficient compute-in-memory accelerator for deep learning using ferroelectric vertical NAND memory. The objective is to design, evaluate, and prototype a novel vertical NAND memory technology based...
- This Project Grant award, valued at $198,270.00, was issued on August 15, 2025 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The grant will support conceptualization, planning, and collaboration activities to formulate a comprehensive research roadmap for a novel hybrid CMOS+X in-memory analog computing framework. The project aims to catalyze multidisciplinary collaboration among experts in materials science, circuit...
- 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...
- The National Science Foundation (NSF) has awarded a $330,000 Project Grant under the Engineering program (CFDA 47.041) to Yale University. The "NeroFlex" project aims to develop an advanced implantable neural interface platform that integrates optimized resistive RAM memory, programmable analog front-end circuits, and specialized processors for efficient brain data acquisition and computational processing. The research plan encompasses device fabrication, mixed-signal circuit design,...
This $280,939 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports the development of a novel "diffusive ferroelectric field-effect transistor (DFEFET)," a brain-inspired memory device that integrates long-term and short-term memory functionality within a single transistor. The goal is to advance energy-efficient hardware for applications in temporal signal processing, neuromorphic computing, artificial intelligence, and post-silicon technologies. The project, awarded to the University of Mississippi, aims to enhance the performance and energy efficiency of modern AI systems by incorporating key features of the human brain. The interdisciplinary research spans engineering, physics, chemistry, neuroscience, and AI, providing exceptional training opportunities for students across multiple fields.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $280.9k | 8/1/25 |