Recent Progress in Memrsitor Array Structures and Solutions for Sneak Path Current Reduction
Y Lee, B Jeon, Y Cho, J Kim, W Shim… - Advanced Materials …, 2024 - Wiley Online Library
Memristors have diverse potential for improving data storage through linear memory control
and synaptic operation in AI and neuromorphic computing. Prior research on optimizing …
and synaptic operation in AI and neuromorphic computing. Prior research on optimizing …
Sophisticated Conductance Control and Multiple Synapse Functions in TiO2‐Based Multistack‐Layer Crossbar Array Memristor for High‐Performance Neuromorphic …
In this study, oxygen‐rich TiOy and TiOx layers are intentionally designed to have different
oxygen compositions, functioning as an overshoot suppression layer (OSL) and oxygen …
oxygen compositions, functioning as an overshoot suppression layer (OSL) and oxygen …
[HTML][HTML] Perspective: Entropy-stabilized oxide memristors
A memristor array has emerged as a potential computing hardware for artificial intelligence
(AI). It has an inherent memory effect that allows information storage in the form of easily …
(AI). It has an inherent memory effect that allows information storage in the form of easily …
Oxygen vacancies kinetics in TaO/TaO memristive interfaces
Oxygen vacancies (OV) are pervasive in metal oxides and play a pivotal role in the switching
behaviour of oxide-based memristive devices. In this study we address OV dynamics in …
behaviour of oxide-based memristive devices. In this study we address OV dynamics in …
Energy Efficient Implementation of MVM Operations Using Filament-Free Bulk RRAM Array
In this work, we present a hardware implementation of spiking neural network (SNN) model
using trilayer bulk RRAM crossbar arrays for an autonomous navigation/racing task. We …
using trilayer bulk RRAM crossbar arrays for an autonomous navigation/racing task. We …