Project Grant 2618386
- This $250,000 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop domain-specific 3D ReRAM-based Processing-in-Memory (PIM) accelerators for streaming time series applications. The collaboration between researchers at UC Riverside, Arizona State University, Georgia Institute of Technology, and Washington State University aims to define CBA-PIM accelerators for time series data analytics,...
- 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...
- 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 $255,999 National Science Foundation award under the Technology, Innovation, and Partnerships program will support Zenoleap LLC's development of novel superconducting neuromorphic computing circuits. The awardee will design, fabricate, and characterize atomic-tunable memristors and superconducting quantum interference device neurons to enable true biological brain-inspired deep learning network algorithms. This superconducting neuromorphic circuit aims to significantly improve energy...
- 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...
- This NSF CISE (CFDA 47.070) Project Grant award of $336,655 to The Pennsylvania State University, doing business as Penn State, aims to develop novel physical reservoir computing architectures that harness the unique properties of ion-channel-based memristors. The project, running from May 2024 to April 2027, seeks to (1) understand how the specific properties of the memristors can be leveraged for reservoir computing, (2) design tailored architectures combining the reservoir and readout layers,...
- 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...
- Federal Grant Award Summary Missouri University of Science & Technology received a $249,255 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070: Computer and Information Science and Engineering) awarded October 1, 2025, with completion targeted for September 30, 2026. Under this collaborative research initiative, the university will develop and prototype a CMOS+X (Complementary Metal Oxide Semiconductor plus emerging device...
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) project grant award provides $650,000 to The Trustees of Columbia University in the City of New York to develop energy-efficient optical brain-inspired (neuromorphic) computing devices. The project aims to establish a 3D nanofabrication platform that combines DNA-programmable assembly and conventional lithographic methods to create novel optical metamaterials and integrate them into neuromorphic...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant, award ID 2403723, provides $500,000.00 to Cornell University to develop novel algorithms and hardware designs for energy-efficient, memory-optimized spiking neural network (SNN) systems on edge computing devices. The project aims to advance the practical deployment of neuromorphic computing for applications like drones, autonomous robots, portable medical devices, and wearable...
COLLABORATIVE RESEARCH: SHF: SMALL: RUI: CMOS+X: HONEY-RERAM ENABLED 3D NEUROMORPHIC ACCELERATOR -CURRENT COMPUTING SYSTEMS ARE FACING SIGNIFICANT CHALLENGES INCLUDING EXTREMELY HIGH ENERGY DEMAND, TREMENDOUS CONSUMPTION OF NONRENEWABLE MATERIALS, ENVIRONMENTAL AND HEALTH ISSUES BY ELECTRONIC WASTE, AND LACK OF TECHNOLOGIES TO IMPROVE SYSTEM PERFORMANCE BY INTEGRATION OF COMPLEMENTARY METAL OXIDE SEMICONDUCTOR (CMOS) MICROCHIPS WITH EMERGING DEVICE TECHNOLOGIES (DENOTED X) ? ?CMOS+X?. THIS PROJECT WILL ADDRESS THESE CHALLENGES BY EXPLORING AN INNOVATIVE TECHNOLOGY TO INTEGRATE CMOS PERIPHERY CIRCUITS WITH A NOVEL MEMORY TECHNOLOGY - NATURAL ORGANIC HONEY BASED RESISTIVE SWITCHING RANDOM ACCESS MEMORY (HONEY-RERAM) FOR A NEW BRAIN-INSPIRED NEUROMORPHIC COMPUTING SYSTEM. THE PROTOTYPED ?CMOS + HONEY-RERAM? COMPUTING SYSTEM IS PROMISING TO PROMOTE HIGH PERFORMANCE, ENERGY EFFICIENT, AND SUSTAINABLE IN-MEMORY COMPUTING CAPABILITY FOR MANY HIGH IMPACT DOMAINS SUCH AS ENGINEERING, SOCIAL SCIENCE, NATIONAL HEALTH, AND DEFENSE. IN ADDITION, THE PROPOSED EDUCATION ACTIVITIES OFFER UNIQUE TRAINING OPPORTUNITIES FOR UNDERREPRESENTED RESEARCHERS INCLUDING FEMALE, AFRICAN AMERICAN, AND NATIVE AMERICAN STUDENTS. THIS PROJECT TARGETS TO EXPLORE INNOVATIONS IN DEVICE FABRICATION AND SYSTEM INTEGRATION TECHNOLOGIES TO OPTIMIZE HONEY-RERAM DEVICES, ESTABLISH THE FEASIBILITY OF 3D INTEGRATION OF CMOS CIRCUITS WITH HONEY-RERAM ARRAYS, AND PROTOTYPE A CMOS + HONEY-RERAM ENABLED NEUROMORPHIC ACCELERATOR, AN ESSENTIAL NEURAL NETWORK HARDWARE COMPONENT FOR DATA PROCESSING IN A VAST RANGE OF DEVICES IN COMPUTING AND ARTIFICIAL INTELLIGENCE. THE HONEY-RERAM WILL HAVE HIGHLY REPRODUCIBLE MEMORY CHARACTERISTICS, THERMAL STABILITY, LONG-TERM RELIABILITY, LOW-COST, AS WELL AS BEING SUSTAINABLE. THE HONEY RERAM WILL ALSO UTILIZE AN ECO-FRIENDLY SYNTHESIS PROCESS AND DEVICE MANUFACTURE. A NOVEL THREE-DIMENSIONAL (3D) ARCHITECTURE AND FABRICATION TECHNOLOGY WITH A FORMAL DESIGN FLOW WILL BE DEVELOPED TO ENSURE THE COMPATIBILITY OF COMBINING CMOS CIRCUITRY WITH HONEY-RERAM ARRAYS BY A HETEROGENEOUS INTEGRATION ON THE MICROCHIP. FURTHERMORE, THIS RESEARCH WILL PROVIDE A SOLUTION TO THE INCOMPATIBILITY PROBLEM IN THE INTEGRATION BETWEEN CMOS AND X AND EFFECTIVELY ACCELERATE THE DEVELOPMENT AND APPLICATION OF CMOS+X TECHNOLOGIES FOR SYSTEM-LEVEL IMPROVEMENTS IN COMPUTING. THIS PROJECT IS JOINTLY FUNDED BY THE SOFTWARE AND HARDWARE FOUNDATIONS (SHF) PROGRAM IN THE COMPUTING AND COMMUNICATION FOUNDATIONS (CCF) DIVISION, AND THE ESTABLISHED PROGRAM TO STIMULATE COMPETITIVE RESEARCH (EPSCOR). THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $28.6k | 3/2/26 |