A review of emerging non-volatile memory (NVM) technologies and applications

A Chen - Solid-State Electronics, 2016 - Elsevier
This paper will review emerging non-volatile memory (NVM) technologies, with the focus on
phase change memory (PCM), spin-transfer-torque random-access-memory (STTRAM) …

Challenges and applications of emerging nonvolatile memory devices

W Banerjee - Electronics, 2020 - mdpi.com
Emerging nonvolatile memory (eNVM) devices are pushing the limits of emerging
applications beyond the scope of silicon-based complementary metal oxide semiconductors …

Metal–oxide RRAM

HSP Wong, HY Lee, S Yu, YS Chen, Y Wu… - Proceedings of the …, 2012 - ieeexplore.ieee.org
In this paper, recent progress of binary metal–oxide resistive switching random access
memory (RRAM) is reviewed. The physical mechanism, material properties, and electrical …

[HTML][HTML] Resistance random access memory

TC Chang, KC Chang, TM Tsai, TJ Chu, SM Sze - Materials Today, 2016 - Elsevier
Non-volatile memory (NVM) will play a decisive role in the development of the next-
generation of electronic products. Therefore, the development of next-generation NVM is …

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 …

Resistive switching by voltage-driven ion migration in bipolar RRAM—Part II: Modeling

S Larentis, F Nardi, S Balatti… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Resistive-switching memory (RRAM) based on transition metal oxides is a potential
candidate for replacing Flash and dynamic random access memory in future generation …

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 …

Three-dimensional nanoscale flexible memristor networks with ultralow power for information transmission and processing application

TY Wang, JL Meng, MY Rao, ZY He, L Chen, H Zhu… - Nano …, 2020 - ACS Publications
To construct an artificial intelligence system with high efficient information integration and
computing capability like the human brain, it is necessary to realize the biological …

Multilevel HfO2-based RRAM devices for low-power neuromorphic networks

V Milo, C Zambelli, P Olivo, E Pérez… - APL materials, 2019 - pubs.aip.org
Training and recognition with neural networks generally require high throughput, high
energy efficiency, and scalable circuits to enable artificial intelligence tasks to be operated at …

Materials for high-temperature digital electronics

DK Pradhan, DC Moore, AM Francis… - Nature Reviews …, 2024 - nature.com
Silicon microelectronics, consisting of complementary metal–oxide–semiconductor
technology, have changed nearly all aspects of human life from communication to …