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 …

A comprehensive review on emerging artificial neuromorphic devices

J Zhu, T Zhang, Y Yang, R Huang - Applied Physics Reviews, 2020 - pubs.aip.org
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

[HTML][HTML] Brain-inspired computing with memristors: Challenges in devices, circuits, and systems

Y Zhang, Z Wang, J Zhu, Y Yang, M Rao… - Applied Physics …, 2020 - pubs.aip.org
This article provides a review of current development and challenges in brain-inspired
computing with memristors. We review the mechanisms of various memristive devices that …

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 …

RRAM-based synapse devices for neuromorphic systems

K Moon, S Lim, J Park, C Sung, S Oh, J Woo… - Faraday …, 2019 - pubs.rsc.org
Hardware artificial neural network (ANN) systems with high density synapse array devices
can perform massive parallel computing for pattern recognition with low power consumption …

From memristive materials to neural networks

T Guo, B Sun, S Ranjan, Y Jiao, L Wei… - … Applied Materials & …, 2020 - ACS Publications
The information technologies have been increasing exponentially following Moore's law
over the past decades. This has fundamentally changed the ways of work and life. However …

Engineering of defects in resistive random access memory devices

W Banerjee, Q Liu, H Hwang - Journal of Applied Physics, 2020 - pubs.aip.org
Defects are essential to switch the resistance states in resistive random-access memory
(RRAM) devices. Controlled defects in such devices can lead to the stabilization of the …

Prospect and challenges of analog switching for neuromorphic hardware

W Banerjee, RD Nikam, H Hwang - Applied Physics Letters, 2022 - pubs.aip.org
To inaugurate energy-efficient hardware as a solution to complex tasks, information
processing paradigms shift from von Neumann to non-von Neumann computing …

A Pure 2H‐MoS2 Nanosheet‐Based Memristor with Low Power Consumption and Linear Multilevel Storage for Artificial Synapse Emulator

K Wang, L Li, R Zhao, J Zhao, Z Zhou… - Advanced Electronic …, 2020 - Wiley Online Library
Abstract Two‐dimensional (2D) transition metal dichalcogenide has attracted significant
attention recently due to its unique electrical and optical properties. However, MoS2 …

Memristive Synapses for Brain‐Inspired Computing

J Wang, F Zhuge - Advanced Materials Technologies, 2019 - Wiley Online Library
Although the structure and function of the human brain are still far from being fully
understood, brain‐inspired computing architectures mainly consisting of artificial neurons …