Hafnium Oxide (HfO2) – A Multifunctional Oxide: A Review on the Prospect and Challenges of Hafnium Oxide in Resistive Switching and Ferroelectric Memories
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 …
in the memory arena over the last two decades. Its dielectric properties have been …
Organic mixed conductors for bioinspired electronics
Owing to its close resemblance to biological systems and materials, soft matter has been
successfully implemented in numerous bioelectronic and biosensing applications, as well as …
successfully implemented in numerous bioelectronic and biosensing applications, as well as …
ECRAM materials, devices, circuits and architectures: A perspective
Non‐von‐Neumann computing using neuromorphic systems based on two‐terminal
resistive nonvolatile memory elements has emerged as a promising approach, but its full …
resistive nonvolatile memory elements has emerged as a promising approach, but its full …
[HTML][HTML] Metaplastic and energy-efficient biocompatible graphene artificial synaptic transistors for enhanced accuracy neuromorphic computing
CMOS-based computing systems that employ the von Neumann architecture are relatively
limited when it comes to parallel data storage and processing. In contrast, the human brain …
limited when it comes to parallel data storage and processing. In contrast, the human brain …
High‐performance organic electrochemical transistors and neuromorphic devices comprising naphthalenediimide‐dialkoxybithiazole copolymers bearing glycol ether …
Y Zhang, G Ye, TPA van der Pol, J Dong… - Advanced Functional …, 2022 - Wiley Online Library
Organic electrochemical transistors (OECTs) have emerged as building blocks for low power
circuits, biosensors, and neuromorphic computing. While p‐type polymer materials for …
circuits, biosensors, and neuromorphic computing. While p‐type polymer materials for …
Unraveling Polymer–Ion Interactions in Electrochromic Polymers for their Implementation in Organic Electrochemical Synaptic Devices
Owing to low‐power, fast and highly adaptive operability, as well as scalability,
electrochemical random‐access memory (ECRAM) technology is one of the most promising …
electrochemical random‐access memory (ECRAM) technology is one of the most promising …
Shape‐dependent multi‐weight magnetic artificial synapses for neuromorphic computing
In neuromorphic computing, artificial synapses provide a multi‐weight (MW) conductance
state that is set based on inputs from neurons, analogous to the brain. Herein, artificial …
state that is set based on inputs from neurons, analogous to the brain. Herein, artificial …
Prospect and challenges of analog switching for neuromorphic hardware
To inaugurate energy-efficient hardware as a solution to complex tasks, information
processing paradigms shift from von Neumann to non-von Neumann computing …
processing paradigms shift from von Neumann to non-von Neumann computing …
[HTML][HTML] A domain wall-magnetic tunnel junction artificial synapse with notched geometry for accurate and efficient training of deep neural networks
Inspired by the parallelism and efficiency of the brain, several candidates for artificial
synapse devices have been developed for neuromorphic computing, yet a nonlinear and …
synapse devices have been developed for neuromorphic computing, yet a nonlinear and …
Accurate Weight Update in an Electrochemical Random‐Access Memory Based Cross‐Point Array Using Channel‐High Half‐Bias Scheme for Deep Learning …
Recently cross‐point arrays of synaptic memory devices have been intensively studied to
accelerate deep neural network computations. Among various synaptic devices …
accelerate deep neural network computations. Among various synaptic devices …