Project Grant D15AP00089

The National Science Foundation (NSF) has awarded Ohio University a $120,000 Project Grant under the Engineering program (CFDA 47.041) to develop reconfigurable threshold logic gates (TLGs) for flexible and wearable electronics. The objective is to create novel TLG circuit topologies and thin-film transistor (TFT) device designs to enable efficient neuromorphic computing on resource-constrained flexible systems. This work will also be leveraged to introduce students, including those at a local...

This three-year, $349,772 project grant from the National Science Foundation's Engineering Directorate (ENG), program CFDA 47.041, supports collaborative research on two-dimensional ambipolar machine learning and logical computing systems at the University of Illinois. The researchers will develop new 2D ambipolar materials and device structures to design ambipolar logic families and machine learning architectures that leverage the unique behaviors of these dual-gate field-effect transistors....

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 $260,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program supports the development of energy-efficient nanoelectronics based on CMOS-compatible magnetoelectric transistors. The key objectives are to create novel logic and memory solutions integrating voltage-switched magnetoelectrics with transition-metal chalcogenide semiconductor channels. This research aims to achieve substantial improvements in energy efficiency for...

This federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $240,000 in funding to President and Fellows of Harvard College to develop a disruptive technology for high-performance optical switches based on active optical metamaterials. The goal is to improve the energy efficiency of data communication in large-scale data centers, which often limit overall computing performance due to communication overheads. The project will focus on...

This $443,079 Project Grant awarded by the National Science Foundation's Engineering program (CFDA 47.041) supports research to develop electroacoustic topological insulator-based logic devices. The goal is to create new electroacoustic transistors and logic devices that leverage reconfigurable topological interface states, enabling energy-efficient, disorder-immune wave-based computing. The research aims to make fundamental contributions to the design, development, and exploration of these...

The National Science Foundation (NSF) awarded a $1,600,000 Project Grant under the NSF Engineering Program (CFDA 47.041) to the Regents of the University of California at Riverside (UC Riverside) to develop new types of combinatorial memory and logic devices based on magnetic spin waves. The project, led by Dr. Alexander Khitun, Professor Jacob Greenstein, and Professor Caroline Ross, aims to create a transformative approach to data storage and processing by utilizing phase and amplitude of spin...

This Project Grant award from the National Science Foundation (NSF) under the CFDA 47.070 Computer and Information Science and Engineering program provides $638,022 to Purdue University to develop an indium-oxide-based neural computing platform. The key objectives are to: Advance scientific understanding of oxide semiconductors by experimenting with high-k/ferroelectric gate stacks in atomic-layer-deposition (ALD) material systems. Develop novel compute primitives based on...

This $260,000 Project Grant award, funded by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049), aims to advance high-performance and energy-efficient in-memory computing through the co-design of 2D ferroelectric materials and device stacks. The key objectives are to develop ferroelectric tunnel junctions (FTJs) that exhibit low switching voltages, high on/off ratios, and high on-state current densities - critical metrics for enabling...