scholarly journals Advances in Emerging Memory Technologies: From Data Storage to Artificial Intelligence

2021 ◽  
Vol 11 (23) ◽  
pp. 11254
Author(s):  
Gabriel Molas ◽  
Etienne Nowak

This paper presents an overview of emerging memory technologies. It begins with the presentation of stand-alone and embedded memory technology evolution, since the appearance of Flash memory in the 1980s. Then, the progress of emerging memory technologies (based on filamentary, phase change, magnetic, and ferroelectric mechanisms) is presented with a review of the major demonstrations in the literature. The potential of these technologies for storage applications addressing various markets and products is discussed. Finally, we discuss how the rise of artificial intelligence and bio-inspired circuits offers an opportunity for emerging memory technology and shifts the application from pure data storage to storage and computing tasks, and also enlarges the range of required specifications at the device level due to the exponential number of new systems and architectures.

Author(s):  
Yizhang Yang ◽  
Taehee Jeong ◽  
Hendrik F. Hamann ◽  
Jimmy Zhu ◽  
Mehdi Asheghi

Phase-change technology has been widely used in rewritable disks for optical recording applications. Recently, it has also received attention as a candidate for future high storage density non-volatile random access memory, due to its much longer cycle life (∼1013) and fast data access time (∼100ns) compared with the existing Flash memory technology. In this paper, we present thermal conductivity data and models for phase-change GeSbTe material that would be helpful in performance optimization and improvement in the reliability (i.e., enhancement of data rate, cyclability, control of mark-edge jitter) of phase-change-based data storage devices and systems. We perform the thermal characterization of Ge4Sb1Te5 and Ge2Sb2Te5 phase-change materials for the application of optical recording and phase-change memory cell using the techniques of thermoreflectance and electrical resistance thermometry. The limits of lattice and electronic thermal conductivities are investigated to determine their relative contributions as a function of tellurium concentration at different crystalline structures.


Nanomaterials ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 2685
Author(s):  
Kuo-Yu Hsiang ◽  
Chun-Yu Liao ◽  
Jer-Fu Wang ◽  
Zhao-Feng Lou ◽  
Chen-Ying Lin ◽  
...  

Ferroelectric (FE) Hf1−xZrxO2 is a potential candidate for emerging memory in artificial intelligence (AI) and neuromorphic computation due to its non-volatility for data storage with natural bi-stable characteristics. This study experimentally characterizes and demonstrates the FE and antiferroelectric (AFE) material properties, which are modulated from doped Zr incorporated in the HfO2-system, with a diode-junction current for memory operations. Unipolar operations on one of the two hysteretic polarization branch loops of the mixed FE and AFE material give a low program voltage of 3 V with an ON/OFF ratio >100. This also benefits the switching endurance, which reaches >109 cycles. A model based on the polarization switching and tunneling mechanisms is revealed in the (A)FE diode to explain the bipolar and unipolar sweeps. In addition, the proposed FE-AFE diode with Hf1−xZrxO2 has a superior cycling endurance and lower stimulation voltage compared to perovskite FE-diodes due to its scaling capability for resistive FE memory devices.


2021 ◽  
Vol 15 (3) ◽  
pp. 2170015
Author(s):  
Minh Anh Luong ◽  
Marta Agati ◽  
Nicolas Ratel Ramond ◽  
Jérémie Grisolia ◽  
Yannick Le Friec ◽  
...  

NANO ◽  
2015 ◽  
Vol 10 (08) ◽  
pp. 1550118 ◽  
Author(s):  
Lei Wang ◽  
Jing Wen ◽  
CiHui Yang ◽  
Shan Gai ◽  
YuanXiu Peng

Phase-change probe memory using Ge2Sb2Te5 has been considered as one of the promising candidates as next-generation data storage device due to its ultra-high density, low energy consumption, short access time and long retention time. In order to utmostly mimic the practical setup, and thus fully explore the potential of phase-change probe memory for 10 Tbit/in2 target, some advanced modeling techniques that include threshold-switching, electrical contact resistance, thermal boundary resistance and crystal nucleation-growth, are introduced into the already-established electrothermal model to simulate the write and read performance of phase-change probe memory using an optimal media stack design. The resulting predictions clearly demonstrate the capability of phase-change probe memory to record 10 Tbit/in2 density under pico Joule energy within micro second period.


2006 ◽  
Vol 96 (5) ◽  
Author(s):  
Zhimei Sun ◽  
Jian Zhou ◽  
Rajeev Ahuja

2011 ◽  
Vol 341-342 ◽  
pp. 700-704
Author(s):  
Bai Yi Huang

Flash-based solid state disks (SSD) is a performance based data storage technology that optimizes the use of flash-based technology to implement its data storage capabilities compared with mechanically available data storage technologies. It has been argued in theory and practice that SSD devices are better performers compared with mechanical devices. To improve the efficiency of a flash memory SSD device, it is important for it to be designed to be computationally support parallel operations.


MRS Bulletin ◽  
2018 ◽  
Vol 43 (5) ◽  
pp. 365-370 ◽  
Author(s):  
Yasuo Cho ◽  
Seungbum Hong

Abstract


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