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...
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...
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...
This $959,229 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program supports research on the co-design, fabrication, and characterization of sub-2 nm wide-bandgap semiconductor memristors for neuromorphic computing applications. The research team at the University of Kansas Center for Research Inc., with a sub-award to the University of Houston System, aims to develop atomically tunable memristors based on gallium oxide (Ga2O3) that can...
The National Science Foundation (NSF) awarded a $1,000,000 Project Grant under the Technology, Innovation, and Partnerships (CFDA 47.084) program to The Leland Stanford Junior University. The grant, with a performance period from March 1, 2024 to February 28, 2027, aims to develop resilient, fast-switching, and energy-efficient magnetoresistive random access memory (MRAM) chips to revolutionize mobile artificial intelligence (AI). The research seeks to address technical hurdles around thermal...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award of $599,980 to the University of Arizona will fund the development of a new type of neuromorphic device called moiré synaptic transistors (MSTs) using two-dimensional materials. The goal is to create advanced hardware capable of processing complex analog data efficiently for artificial intelligence (AI) applications, addressing limitations of existing semiconductor devices like high power consumption and...
This National Science Foundation (NSF) project grant award under the Engineering program (CFDA 47.041) provides $275,000 to develop a novel brain-inspired processor-in-memory system powered by environmentally-sustainable carbohydrate-based memristors. The key objectives are to create an energy-efficient, renewable, and ecologically-friendly computing solution to address sustainability challenges in artificial intelligence (AI) systems and computing devices. The project will leverage innovative...
This $1,500,000 Project Grant awarded by the National Science Foundation's (NSF) Division of Materials Research under the Mathematical and Physical Sciences Program (CFDA 47.049) aims to accelerate the discovery and optimization of biosensor materials through a closed-loop computational and experimental approach. The key objectives are to: 1) understand the effect of two-dimensional transition metal dichalcogenide (TMD) functionalization and doping on nanoscale interactions with biomolecules, 2)...
This SBIR Phase I award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (TIP) program, with a total funding amount of $274,985, is focused on developing an artificial intelligence (AI) system to accelerate semiconductor production using physics-embedded lithographic foundation models. The project aims to alleviate design and manufacturing complexities associated with the shift to extreme ultraviolet (EUV) lithography in semiconductor manufacturing, which has...
This $275,000 National Science Foundation (NSF) Project Grant, awarded under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program, funds the development and validation of materials and processes for advanced semiconductor manufacturing at Geminatio, a for-profit organization. The goal is to enable the progression of Moore's Law and strengthen domestic semiconductor manufacturing capacity and capability, which has been impacted by recent supply chain issues. The project seeks to...