ABO 3 multiferroic perovskite materials for memristive memory and neuromorphic computing

B Sun, G Zhou, L Sun, H Zhao, Y Chen, F Yang… - Nanoscale …, 2021 - pubs.rsc.org
The unique electron spin, transfer, polarization and magnetoelectric coupling characteristics
of ABO3 multiferroic perovskite materials make them promising candidates for application in …

Nanoionic memristive phenomena in metal oxides: the valence change mechanism

R Dittmann, S Menzel, R Waser - Advances in Physics, 2021 - Taylor & Francis
This review addresses resistive switching devices operating according to the bipolar
valence change mechanism (VCM), which has become a major trend in electronic materials …

SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations

S Choi, SH Tan, Z Li, Y Kim, C Choi, PY Chen… - Nature materials, 2018 - nature.com
Although several types of architecture combining memory cells and transistors have been
used to demonstrate artificial synaptic arrays, they usually present limited scalability and …

Nanoscale cation motion in TaOx, HfOx and TiOx memristive systems

A Wedig, M Luebben, DY Cho, M Moors, K Skaja… - Nature …, 2016 - nature.com
A detailed understanding of the resistive switching mechanisms that operate in redox-based
resistive random-access memories (ReRAM) is key to controlling these memristive devices …

[HTML][HTML] Resistive switching phenomena: A review of statistical physics approaches

JS Lee, S Lee, TW Noh - Applied Physics Reviews, 2015 - pubs.aip.org
Resistive switching (RS) phenomena are reversible changes in the metastable resistance
state induced by external electric fields. After discovery∼ 50 years ago, RS phenomena …

Comprehensive model of electron conduction in oxide-based memristive devices

C Funck, S Menzel - ACS Applied electronic materials, 2021 - ACS Publications
Memristive devices are two-terminal devices that can change their resistance state upon
application of appropriate voltage stimuli. The resistance can be tuned over a wide …

Memristive synapses and neurons for bioinspired computing

R Yang, HM Huang, X Guo - Advanced Electronic Materials, 2019 - Wiley Online Library
To realize highly efficient neuromorphic computing that is comparable to biological
counterparts, bioinspired computing systems, consisting of biorealistic artificial synapses …

In-memory learning with analog resistive switching memory: A review and perspective

Y Xi, B Gao, J Tang, A Chen, MF Chang… - Proceedings of the …, 2020 - ieeexplore.ieee.org
In this article, we review the existing analog resistive switching memory (RSM) devices and
their hardware technologies for in-memory learning, as well as their challenges and …

Anomalous resistance hysteresis in oxide ReRAM: Oxygen evolution and reincorporation revealed by in situ TEM

D Cooper, C Baeumer, N Bernier… - Advanced …, 2017 - Wiley Online Library
The control and rational design of redox‐based memristive devices, which are highly
attractive candidates for next‐generation nonvolatile memory and logic applications, is …

[PDF][PDF] Coexistence of filamentary and homogeneous resistive switching in Fe-doped SrTiO3 thin-film memristive devices

R Muenstermann, T Menke, R Dittmann, R Waser - Adv. Mater, 2010 - academia.edu
Resistance random access memory, short RRAM, which employs two or more resistive
states of a material for data storage, has attracted considerable attention as a highly …