In the current information age, the realization of memory devices with energy efficient design, high storage density, nonvolatility, fast access, and low cost is still a great challenge. As a promising technology to meet these stringent requirements, nonvolatile multistates memory (NMSM) has attracted lots of attention over the past years. Owing to the capability to store data in more than a single bit (0 or 1), the storage density is dramatically enhanced without scaling down the memory cell, making memory devices more efficient and less expensive. Multistates in a single cell also provide an unconventional in-memory computing platform beyond the Von Neumann architecture and enable neuromorphic computing with low power consumption. In this review, an in-depth perspective is presented on the recent progress and challenges on the device architectures, material innovation, working mechanisms of various types of NMSMs, including flash, magnetic random-access memory (MRAM), resistive random-access memory (RRAM), ferroelectric random-access memory (FeRAM), and phase-change memory (PCM). The intriguing properties and performance of these NMSMs, which are the key to realizing highly integrated memory hierarchy, are discussed and compared.
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http://dx.doi.org/10.1021/acsami.0c10184 | DOI Listing |
Nano Lett
December 2024
Anhui Province Key Laboratory of Low-Energy Quantum Materials and Devices, High Magnetic Field Laboratory, HFIPS, Chinese Academy of Sciences, Hefei, 230031, China.
We report deterministic operations on single dipolar skyrmions confined in nanostructured cuboids by using in-plane currents. We achieve highly reversible writing and deleting of skyrmions in a simple cuboid without any artificial defects or pinning sites. The current-induced creation of skyrmions is well-understood through the spin-transfer torque acting on surface spin twists of the spontaneous 3D ferromagnetic state, caused by the magnetic dipole-dipole interaction of the uniaxial FeSn magnet with a low-quality factor.
View Article and Find Full Text PDFAdv Sci (Weinh)
December 2024
Center for Spintronics Research Network, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka, 560-8531, Japan.
To develop voltage-controlled magnetization switching technologies for spintronics applications, a highly (422)-oriented CoFeSi layer on top of the piezoelectric PMN-PT(011) is experimentally demonstrated by inserting a vanadium (V) ultra-thin layer. The strength of the growth-induced magnetic anisotropy of the (422)-oriented CoFeSi layers can be artificially controlled by tuning the thicknesses of the inserted V and the grown CoFeSi layers. As a result, a giant converse magnetoelectric effect (over 10 s m) and a non-volatile binary state at zero electric field are simultaneously achieved in the (422)-oriented CoFeSi/V/PMN-PT(011) multiferroic heterostructure.
View Article and Find Full Text PDFJ Phys Chem Lett
December 2024
School of Integrated Circuit Science and Engineering, Tianjin Key Laboratory of Film Electronic and Communication Devices, Tianjin University of Technology, Tianjin 300384, China.
Advancing the development of novel materials or architectures for random access memories, coupled with an in-depth understanding of their intrinsic conduction mechanisms, holds the potential to transcend the conventional von Neumann bottleneck. In this work, a novel memristor based on the Sb(S,Se) material with an alloy of S and Se was fabricated. A systematic investigation of the correlation between the Se/(S + Se) ratio and memristive performance revealed that Ag/Sb(S,Se)/FTO memristive behavior is uniquely associated with the formation and disruption of anion vacancies and silver filaments.
View Article and Find Full Text PDFNanomaterials (Basel)
November 2024
Department of System Semiconductor Engineering, Sangmyung University, Cheonan 31066, Republic of Korea.
This paper presents a method for modeling ReRAM in TCAD and validating its accuracy for neuromorphic systems. The data obtained from TCAD are used to analyze the accuracy of the neuromorphic system. The switching behaviors of ReRAM are implemented using the kinetic Monte Carlo (KMC) approach.
View Article and Find Full Text PDFNano Lett
December 2024
School of Microelectronics, University of Science and Technology of China, Hefei 230026, China.
Due to the stochastic formation of conductive filaments (CFs), analog resistive random-access memory (RRAM) struggles to simultaneously achieve low variability, high linearity, and symmetry in conductance tuning, thus complicating on-chip training and limiting versatility of RRAM based computing-in-memory (CIM) chips. In this study, we present a simple and effective approach using monolayer (ML) MoS as interlayer to control the CFs formation in TiO switching layer. The limited S-vacancies (S) in MoSO interlayer can further confine the position, size, and quantity of CFs, resulting in a highly uniform and symmetrical switching behavior.
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