In-memory computing with emerging memory devices: Status and outlook
In-memory computing (IMC) has emerged as a new computing paradigm able to alleviate or
suppress the memory bottleneck, which is the major concern for energy efficiency and …
suppress the memory bottleneck, which is the major concern for energy efficiency and …
Multi-level resistive switching in hafnium-oxide-based devices for neuromorphic computing
In the growing area of neuromorphic and in-memory computing, there are multiple reviews
available. Most of them cover a broad range of topics, which naturally comes at the cost of …
available. Most of them cover a broad range of topics, which naturally comes at the cost of …
Exploring the Cutting‐Edge Frontiers of Electrochemical Random Access Memories (ECRAMs) for Neuromorphic Computing: Revolutionary Advances in Material‐to …
Advanced materials and device engineering has played a crucial role in improving the
performance of electrochemical random access memory (ECRAM) devices. ECRAM …
performance of electrochemical random access memory (ECRAM) devices. ECRAM …
3D Stackable Vertical‐Sensing Electrochemical Random‐Access Memory Using Ion‐Permeable WS2 Electrode for High‐Density Neuromorphic Systems
Ion‐based electrochemical random‐access memory (ECRAM) is proposed for synaptic
applications owing to its promising characteristics that have the potential to accelerate data …
applications owing to its promising characteristics that have the potential to accelerate data …
Electrochemical random-access memory: recent advances in materials, devices, and systems towards neuromorphic computing
Artificial neural networks (ANNs), inspired by the human brain's network of neurons and
synapses, enable computing machines and systems to execute cognitive tasks, thus …
synapses, enable computing machines and systems to execute cognitive tasks, thus …
Computing of neuromorphic materials: an emerging approach for bioengineering solutions
The potential of neuromorphic computing to bring about revolutionary advancements in
multiple disciplines, such as artificial intelligence (AI), robotics, neurology, and cognitive …
multiple disciplines, such as artificial intelligence (AI), robotics, neurology, and cognitive …
[HTML][HTML] Prospects and challenges of electrochemical random-access memory for deep-learning accelerators
The ever-expanding capabilities of machine learning are powered by exponentially growing
complexity of deep neural network (DNN) models, requiring more energy and chip-area …
complexity of deep neural network (DNN) models, requiring more energy and chip-area …
Impact of Oxygen Reservoir Layer on 3T Oxygen Ion‐based Electrochemical Random Access Memory Performance
H Kim, G Han, J Seo, D Lee - Advanced Electronic Materials, 2023 - Wiley Online Library
This study investigates the impact of an oxygen reservoir layer on the performance of three‐
terminal (3T) oxide ion‐based electrochemical random access memory (Ox‐ECRAM). Three …
terminal (3T) oxide ion‐based electrochemical random access memory (Ox‐ECRAM). Three …
Electrochemical Ionic Synapses with Mg2+ as the Working Ion
Dynamic do** by electrochemical ion intercalation is a promising mechanism for
modulating electronic conductivity, allowing for energy‐efficient, brain‐inspired computing …
modulating electronic conductivity, allowing for energy‐efficient, brain‐inspired computing …
Temperature-dependent time relaxation of ON and OFF states in NiO-based crossbar memory arrays
The time-dependence of ON and OFF switching states in Pt/NiO x/Pt crossbar devices was
measured between 300 K and 180 K. We find that the OFF-state resistance increases with …
measured between 300 K and 180 K. We find that the OFF-state resistance increases with …