Showing posts with label Nonvolatile memory. Show all posts
Showing posts with label Nonvolatile memory. Show all posts

May 31, 2020

[paper] ReRAM: History, Status, and Future

ReRAM: History, Status, and Future
Y. Chen, Member, IEEE
Western Digital Corporation, Milpitas, CA
in IEEE TED, vol. 67, no. 4, pp. 1420-1433, April 2020
doi: 10.1109/TED.2019.2961505.


Abstract: This article reviews the resistive random-access memory (ReRAM) technology initialization back in the 1960s and its heavily focused research and development from the early 2000s. This review goes through various oxygen/oxygen vacancy and metal-ion-based ReRAM devices and their operation mechanisms. This review also benchmarks the performance of various oxygen/oxygen vacancy and metal-ion-based ReRAM devices with general trend drawn. Being a semiconductor memory and storage technology, the commercialization attempts for both stand-alone mass storage/storage-class memory and embedded nonvolatile memory are also reviewed. Looking toward the coming era, the potential of using ReRAM technology to improve machine learning efficiency is discussed. 
Fig: General category of resistive switching memory technologies
with ReRAM highlighted as the review focus

Acknowledgment: Sincere acknowledgment to people who ever contribute to ReRAM technology development and understanding.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8961211&isnumber=9046113

Oct 31, 2017

[paper] Review of physics-based compact models for emerging nonvolatile memories

Nuo Xu1, Pai-Yu Chen2, Jing Wang1, Woosung Choi1, Keun-Ho Lee3, Eun Seung Jung3, Shimeng Yu2
Review of physics-based compact models for emerging nonvolatile memories
1Device Lab, Samsung Semiconductor Inc., San Jose, CA 95134, USA
2School of ECEE, Arizona State University, Tempe, AZ 85281, USA
3Semiconductor R&D Center, Samsung Electronics, Hwasung-si, Gyeonggi-do, Korea
Journal of Computational Electronics, 2017, pp. 1-13
https://doi.org/10.1007/s10825-017-1098-0

Abstract: A generic compact modeling methodology for emerging nonvolatile memories is proposed by coupling comprehensive physical equations from multiple domains (e.g., electrical, thermal, magnetic, phase transitions). This concept has been applied to three most promising emerging memory candidates: PCM, STT-MRAM, and RRAM to study their device physics as well as to evaluate their circuit-level performance. The models’ good predictability to experiments and their effectiveness in large-scale circuit simulation suggest their unique role in emerging memory research and development [read more...]

https://doi.org/10.1007/s10825-017-1098-0