Hafnium Oxide (HfO2) – A Multifunctional Oxide: A Review on the Prospect and Challenges of Hafnium Oxide in Resistive Switching and Ferroelectric Memories

W Banerjee, A Kashir, S Kamba - Small, 2022 - Wiley Online Library
Hafnium oxide (HfO2) is one of the mature high‐k dielectrics that has been standing strong
in the memory arena over the last two decades. Its dielectric properties have been …

Advances of RRAM devices: Resistive switching mechanisms, materials and bionic synaptic application

Z Shen, C Zhao, Y Qi, W Xu, Y Liu, IZ Mitrovic, L Yang… - Nanomaterials, 2020 - mdpi.com
Resistive random access memory (RRAM) devices are receiving increasing extensive
attention due to their enhanced properties such as fast operation speed, simple device …

HfO2-based ferroelectrics: From enhancing performance, material design, to applications

H Chen, X Zhou, L Tang, Y Chen, H Luo… - Applied Physics …, 2022 - pubs.aip.org
Nonvolatile memories are in strong demand due to the desire for miniaturization, high-speed
storage, and low energy consumption to fulfill the rapid developments of big data, the …

Hardware implementation of neuromorphic computing using large‐scale memristor crossbar arrays

Y Li, KW Ang - Advanced Intelligent Systems, 2021 - Wiley Online Library
Brain‐inspired neuromorphic computing is a new paradigm that holds great potential to
overcome the intrinsic energy and speed issues of traditional von Neumann based …

HfO2‐Based Memristor as an Artificial Synapse for Neuromorphic Computing with Tri‐Layer HfO2/BiFeO3/HfO2 Design

Z Peng, F Wu, L Jiang, G Cao, B Jiang… - Advanced Functional …, 2021 - Wiley Online Library
Neuromorphic devices are among the most emerging electronic components to realize
artificial neural systems and replace traditional complementary metal–oxide semiconductor …

Binary metal oxide-based resistive switching memory devices: A status review

AR Patil, TD Dongale, RK Kamat, KY Rajpure - Materials Today …, 2023 - Elsevier
Semiconductor memories are essential ingredients of modern electronic devices. Resistive
Random-Access Memories (RRAMs) have emerged as better alternatives for conventional …

Mimicking biological synapses with a-HfSiOx-based memristor: implications for artificial intelligence and memory applications

M Ismail, M Rasheed, C Mahata, M Kang, S Kim - Nano Convergence, 2023 - Springer
Memristors, owing to their uncomplicated structure and resemblance to biological synapses,
are predicted to see increased usage in the domain of artificial intelligence. Additionally, to …

HfO2-based resistive switching memory devices for neuromorphic computing

S Brivio, S Spiga, D Ielmini - Neuromorphic Computing and …, 2022 - iopscience.iop.org
HfO 2-based resistive switching memory (RRAM) combines several outstanding properties,
such as high scalability, fast switching speed, low power, compatibility with complementary …

Oxygen Vacancy Transition in HfOx‐Based Flexible, Robust, and Synaptic Bi‐Layer Memristor for Neuromorphic and Wearable Applications

A Saleem, D Kumar, A Singh… - Advanced Materials …, 2022 - Wiley Online Library
In this work, a reliable bilayer flexible memristor is demonstrated using TaOx/HfOx Bi‐layer
(BL) to mimic synaptic characteristics by using oxygen concentration engineering in the …

Cellulose nanocrystal based Bio‐Memristor as a green artificial synaptic device for neuromorphic computing applications

T Hussain, H Abbas, C Youn, H Lee… - Advanced Materials …, 2022 - Wiley Online Library
Nanocomposites based on biomaterials are promising candidates for emerging green‐
electronics benefiting from environment‐friendly, renewable, biocompatible, and …