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 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) is supporting the development of a new class of two-dimensional (2D) oxyhalide semiconductors that are compatible with back-end-of-the-line (BEOL) processing for energy-efficient electronic devices. The $570,000 award to the University of Texas at Dallas will investigate the low-temperature growth of these 2D oxyhalides and their electronic properties, as well as strategies to control chemical...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $250,000 to the University of Texas at Austin to design and experimentally demonstrate reversible and reservoir computing systems using magnetic skyrmions. The key products and services to be delivered under this 3-year award include: Co-designing skyrmion-based reversible logic gates and developing a roadmap for skyrmion reversible computing. This will involve fabricating and...
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 $410,000 National Science Foundation project grant supports research at Dartmouth College from September 2022 through August 2025 to develop a new paradigm of two-dimensional metal oxide transistors enhanced through quantum modulation doping. The researchers will develop a fundamental understanding of how heterointerfaces can be engineered to enhance electronic transport in channels consisting of heterostructures of 2-3 nm thick two-dimensional wide bandgap oxide semiconductors. This work...
This $607,900 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will fund research and development on domain-specific probabilistic computing using stochastic antiferromagnetic tunnel junctions. The project aims to address the growing energy consumption and optimization challenges facing conventional computing systems by developing a new type of probabilistic computing architecture. The award brings together experts...
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 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $332,817 to the University of California, Santa Barbara (UCSB) to conduct research on novel gate-stack engineering for 2D materials-based field-effect transistors (FETs). The project aims to develop a comprehensive simulation framework and fabricate test structures to address the design, fabrication, reliability, and performance challenges of 2D semiconductor FETs. This research seeks to...
This Project Grant award, valued at $189,000.00 and funded by the National Science Foundation's Integrative Activities program (CFDA 47.083), supports the development of a novel hybrid CMOS+X-based in-memory analog computing framework. The key products and services to be delivered under this grant include: The framework will utilize industry-scale 3D NAND flash memory chips to create massive arrays of artificial synapses, mimicking the human brain's 100 trillion synapses. These artificial...
This $370,000 Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research on improving the durability and reliability of atomic memristor devices for applications in artificial intelligence and 6G communications. The research, led by the University of Texas at Austin, focuses on understanding the mechanisms causing performance degradation in these atomic-scale memory devices and developing strategies to enhance their endurance. The project...
This $340,000 National Science Foundation project grant supports research at the University of Texas at Austin to develop two-dimensional ambipolar materials and device structures for logical and machine learning circuits. The grant is part of NSF's $47 million Engineering program, which funds research and education activities to advance engineering innovations.
Specifically, the researchers will study dual-gate ambipolar field-effect transistors made from two-dimensional materials to design new logic families and machine learning architectures. They aim to leverage the unique behaviors of these devices, such as hysteresis and variability, to improve the area, speed and energy efficiency of computing systems. The team will experimentally demonstrate small and medium-scale circuit prototypes over three years to July 2025. In addition to advancing nanotechnology, the project seeks to generate efficient computing technologies for cybersecurity, education, healthcare and IoT. The university researchers will also conduct outreach to train students and engage K-12 girls in STEM.