Project Grant N000142612452

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,...

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 Research Foundation For The State University Of New York (RF SUNY) was awarded a $231,344 Project Grant from the National Science Foundation (NSF) to support research titled "RUI: STRUCTURAL AND COMPOSITIONAL MODIFICATION OF MEMRISTIVE NIOBIUM OXIDE FILMS FOR NEUROMORPHIC COMPUTING APPLICATIONS" from June 1, 2021 through May 31, 2024. The grant was awarded under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which supports research aimed at advancing scientific...

The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Rochester Institute of Technology $514,145 on May 1, 2026, under the NSF Engineering program (CFDA 47.041) to develop ionically gated transistors that combine memory and processing within a single material for energy-efficient artificial intelligence on edge devices. The research establishes the fundamental science and engineering of a dual-mode ionically gated transistor functioning as a...

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 $250,000 Project Grant award from the National Science Foundation's Engineering (CFDA 47.041) program to The Pennsylvania State University (Penn State) supports a collaborative research project on "Spintronics Enabled Stochastic Spiking Neural Networks with Temporal Information Encoding". The goal is to advance neuromorphic computing architectures that can achieve brain-scale efficiency for complex machine learning through a multi-disciplinary approach spanning device physics,...

The National Science Foundation Division of Materials Research awarded The Trustees of The University of Pennsylvania $419,299 on September 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to support theoretical studies of contrastive local learning networks—physical systems designed to perform artificial intelligence-type tasks without requiring a computer processor. The project, performed in Philadelphia, Pennsylvania, runs through August 31, 2029. The research...

The National Science Foundation Directorate for Mathematical and Physical Sciences awarded Brown University $270,000 on August 1, 2026, as a Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to develop a mathematical framework for recurrent threshold-linear networks (TLNs) capable of generating both static and complex dynamic patterns of activity. The project, titled "Sequential and Fusion Attractors as a Mechanism for Complex Rhythm Generation and Neural...

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 from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $272,615 to Lab2701 LLC to develop an Oscillator Processing Unit (OPU), a novel analog computing device intended for edge computing applications. The OPU aims to overcome the Von Neumann bottleneck, enabling faster, more energy-efficient, and smaller form factor computing compared to traditional digital processors. The project leverages two...