Nanoscale resistive switching devices for memory and computing applications

SH Lee, X Zhu, WD Lu - Nano Research, 2020 - Springer
With the slowing down of the Moore's law and fundamental limitations due to the von-
Neumann bottleneck, continued improvements in computing hardware performance become …

Implementation of convolutional neural network and 8-bit reservoir computing in CMOS compatible VRRAM

J Park, TH Kim, O Kwon, M Ismail, C Mahata, Y Kim… - Nano Energy, 2022 - Elsevier
Abstract We developed W/HfO 2/TiN vertical resistive random-access memory (VRRAM) for
neuromorphic computing. First, basic electrical properties, such as current–voltage curves …

Towards engineering in memristors for emerging memory and neuromorphic computing: A review

AS Sokolov, H Abbas, Y Abbas… - Journal of …, 2021 - iopscience.iop.org
Resistive random-access memory (RRAM), also known as memristors, having a very simple
device structure with two terminals, fulfill almost all of the fundamental requirements of …

MoS2 Synapses with Ultra-low Variability and Their Implementation in Boolean Logic

A Krishnaprasad, D Dev, SS Han, Y Shen, HS Chung… - ACS …, 2022 - ACS Publications
Brain-inspired computing enabled by memristors has gained prominence over the years due
to the nanoscale footprint and reduced complexity for implementing synapses and neurons …

Tantalum pentoxide (Ta2O5 and Ta2O5-x)-based memristor for photonic in-memory computing application

W Wang, F Yin, H Niu, Y Li, ES Kim, NY Kim - Nano Energy, 2023 - Elsevier
Photonic in-memory computing exhibits promising potential to address the inherent
limitations of traditional von Neumann architecture. In this study, we demonstrate a tantalum …

Highly uniform resistive switching characteristics of Ti/TaOx/ITO memristor devices for neuromorphic system

D Ju, JH Kim, S Kim - Journal of Alloys and Compounds, 2023 - Elsevier
In this study, we focused on the uniformity of resistance states of Ti/TaO x/ITO devices and
the possibility of using them in neuromorphic applications under DC and pulse …

Reconfigurable Quasi‐Nonvolatile Memory/Subthermionic FET Functions in Ferroelectric–2D Semiconductor vdW Architectures

Z Wang, X Liu, X Zhou, Y Yuan, K Zhou… - Advanced …, 2022 - Wiley Online Library
The functional reconfiguration of transistors and memory in homogenous ferroelectric
devices offers significant opportunities for implementing the concepts of in‐memory …

Thermodynamic origin of nonvolatility in resistive memory

J Li, A Appachar, SL Peczonczyk, ET Harrison… - Matter, 2024 - cell.com
Electronic switches based on the migration of high-density point defects, or memristors, are
poised to revolutionize post-digital electronics. Despite significant research, key …

Using NIR irradiation and magnetic bismuth ferrite microparticles to accelerate the removal of polystyrene microparticles from the drinking water

J Oliva, LS Valle-Garcia, L Garces, AI Oliva… - Journal of …, 2023 - Elsevier
Magnetic bismuth ferrite (BiFO) microparticles were employed for the first time for the
removal of polystyrene (PS) nano/microplastics from the drinking water. BiFO is formed by …

A novel high-performance and energy-efficient RRAM device with multi-functional conducting nanofilaments

MC Wu, JY Chen, YH Ting, CY Huang, WW Wu - Nano Energy, 2021 - Elsevier
Resistive random access memory (RRAM) is a potential nonvolatile memory to apply in
large-scale integration systems due to its high switching speed and cost-effective priority …