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 …

Recent progress in solution‐based metal oxide resistive switching devices

E Carlos, R Branquinho, R Martins… - Advanced …, 2021 - Wiley Online Library
Metal oxide resistive switching memories have been a crucial component for the
requirements of the Internet of Things, which demands ultra‐low power and high‐density …

Scalable synthesis of Ti3C2Tx mxene

CE Shuck, A Sarycheva, M Anayee, A Levitt, Y Zhu… - MXenes, 2023 - taylorfrancis.com
Scaling the production of synthetic Two-dimensional (2D) materials to industrial quantities
has faced significant challenges due to synthesis bottlenecks whereby few have been …

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 …

[HTML][HTML] Analog architectures for neural network acceleration based on non-volatile memory

TP **ao, CH Bennett, B Feinberg, S Agarwal… - Applied Physics …, 2020 - pubs.aip.org
Analog hardware accelerators, which perform computation within a dense memory array,
have the potential to overcome the major bottlenecks faced by digital hardware for data …

An artificial nociceptor based on a diffusive memristor

JH Yoon, Z Wang, KM Kim, H Wu… - Nature …, 2018 - nature.com
A nociceptor is a critical and special receptor of a sensory neuron that is able to detect
noxious stimulus and provide a rapid warning to the central nervous system to start 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 …

Oxide-based RRAM materials for neuromorphic computing

XL Hong, DJJ Loy, PA Dananjaya, F Tan… - Journal of materials …, 2018 - Springer
In this review, a comprehensive survey of different oxide-based resistive random-access
memories (RRAMs) for neuromorphic computing is provided. We begin with the history of …

Adaptive extreme edge computing for wearable devices

E Covi, E Donati, X Liang, D Kappel… - Frontiers in …, 2021 - frontiersin.org
Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …

All WSe2 1T1R resistive RAM cell for future monolithic 3D embedded memory integration

M Sivan, Y Li, H Veluri, Y Zhao, B Tang, X Wang… - Nature …, 2019 - nature.com
Abstract 3D monolithic integration of logic and memory has been the most sought after
solution to surpass the Von Neumann bottleneck, for which a low-temperature processed …