In this study, we propose an inverter consisting of reconfigurable double-gated (DG) feedback field-effect transistors (FBFETs) and examine its logic and memory operations through a mixed-mode technology computer-aided design simulation. The DG FBFETs can be reconfigured to n- or p-channel modes, and these modes exhibit an on/off current ratio of ~ 10 and a subthreshold swing (SS) of ~ 0.4 mV/dec. Our study suggests the solution to the output voltage loss, a common problem in FBFET-based inverters; the proposed inverter exhibits the same output logic voltage as the supply voltage in gigahertz frequencies by applying a reset operation between the logic operations. The inverter retains the output logic '1' and '0' states for ~ 21 s without the supply voltage. The proposed inverter demonstrates the promising potential for logic-in-memory application.
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http://dx.doi.org/10.1038/s41598-022-16796-x | DOI Listing |
Philos Trans A Math Phys Eng Sci
January 2025
Microsystems Group, School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK.
The increasing demand for processing large volumes of data for machine learning (ML) models has pushed data bandwidth requirements beyond the capability of traditional von Neumann architecture. In-memory computing (IMC) has recently emerged as a promising solution to address this gap by enabling distributed data storage and processing at the micro-architectural level, significantly reducing both latency and energy. In this article, we present In-Memory comPuting architecture based on Y-FlAsh technology for Coalesced Tsetlin machine inference (IMPACT), underpinned on a cutting-edge memory device, Y-Flash, fabricated on a 180 nm complementary metal oxide semiconductor (CMOS) process.
View Article and Find Full Text PDFPhilos Trans A Math Phys Eng Sci
January 2025
Institute for Solid State Physics, Friedrich Schiller University Jena, Jena, Germany.
Memristive technology mitigates the memory wall issue in von Neumann architectures by enabling in-memory data processing. Unlike traditional complementary metal-oxide semiconductor (CMOS) technology, memristors provide a new paradigm for implementing cryptographic functions and security considerations. While prior research explores memristors for cryptographic functions and side-channel attack vulnerabilities, our study uniquely addresses memristor-oriented countermeasures.
View Article and Find Full Text PDFPhilos Trans A Math Phys Eng Sci
January 2025
Peter Gruenberg Institut (PGI-7), Forschungszentrum Juelich GmbH, Juelich, Germany.
The thirst for more efficient computational paradigms has reignited interest in computation in memory (CIM), a burgeoning topic that pivots on the strengths of more versatile logic systems. Surging ahead in this innovative milieu, multi-valued logic systems have been identified as possessing the potential to amplify storage density and computation efficacy. Notably, ternary logic has attracted widespread research owing to its relatively lower computational and storage complexity, offering a promising alternative to the traditional binary logic computation.
View Article and Find Full Text PDFTohoku J Exp Med
January 2025
Tohoku Medical Megabank Organization, Tohoku University.
ACS Nano
January 2025
Department of Materials Science and Engineering, Incheon National University, Incheon 22012, Korea.
HfO-based thin films have garnered significant interest for integrating robust ferroelectricity into next-generation memory and logic chips, owing to their applicability with modern Si device technology. While numerous studies have focused on enhancing ferroelectric properties and understanding their fundamentals, the fabrication of ultrathin HfO-based ferroelectric films has seldom been reported. This study presents the concept of atomic-level stoichiometry control of ferroelectric HfZrO films by examining the molecular-level interactions of precursor molecules in the atomic layer deposition (ALD) process through theoretical calculations.
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