Multi-level resistive switching in hafnium-oxide-based devices for neuromorphic computing
M Hellenbrand, J MacManus-Driscoll - Nano Convergence, 2023 - Springer
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 …
Noise-assisted persistence and recovery of memory state in a memristive spiking neuromorphic network
IA Surazhevsky, VA Demin, AI Ilyasov… - Chaos, solitons & …, 2021 - Elsevier
We investigate the constructive role of an external noise signal, in the form of a low-rate
Poisson sequence of pulses supplied to all inputs of a spiking neural network, consisting in …
Poisson sequence of pulses supplied to all inputs of a spiking neural network, consisting in …
Opportunity of the Lead-Free All-Inorganic Cs3Cu2I5 Perovskite Film for Memristor and Neuromorphic Computing Applications
F Zeng, Y Guo, W Hu, Y Tan, X Zhang… - … applied materials & …, 2020 - ACS Publications
Recently, several types of lead halide perovskites have been demonstrated as active layers
in resistive switching memory or artificial synaptic devices for neuromorphic computing …
in resistive switching memory or artificial synaptic devices for neuromorphic computing …
Three-dimensional nanoscale flexible memristor networks with ultralow power for information transmission and processing application
To construct an artificial intelligence system with high efficient information integration and
computing capability like the human brain, it is necessary to realize the biological …
computing capability like the human brain, it is necessary to realize the biological …
Low-dimensional-materials-based flexible artificial synapse: materials, devices, and systems
With the rapid development of artificial intelligence and the Internet of Things, there is an
explosion of available data for processing and analysis in any domain. However, signal …
explosion of available data for processing and analysis in any domain. However, signal …
Robust Ag/ZrO2/WS2/Pt Memristor for Neuromorphic Computing
The development of the information age has made resistive random access memory
(RRAM) a critical nanoscale memristor device (MD). However, due to the randomness of the …
(RRAM) a critical nanoscale memristor device (MD). However, due to the randomness of the …
Forming-free Pt/Al2O3/HfO2/HfAlOx/TiN memristor with controllable multilevel resistive switching and neuromorphic characteristics for artificial synapse
Controllable multilevel resistive switching (RS) and neuromorphic characteristics emerges
as a promising paradigm to build power-efficient computing hardware for high density data …
as a promising paradigm to build power-efficient computing hardware for high density data …
Fluoropolymer-based organic memristor with multifunctionality for flexible neural network system
In this study, we propose an effective strategy for achieving the flexible one organic
transistor–one organic memristor (1T–1R) synapse using the multifunctional organic …
transistor–one organic memristor (1T–1R) synapse using the multifunctional organic …
Reliable organic memristors for neuromorphic computing by predefining a localized ion-migration path in crosslinkable polymer
In flexible neuromorphic systems for realizing artificial intelligence, organic memristors are
essential building blocks as artificial synapses to perform information processing and …
essential building blocks as artificial synapses to perform information processing and …
Multi-level Cells and Quantized Conductance Characteristics of Al2O3-Based RRAM Device for Neuromorphic System
Recently, various resistance-based memory devices are being studied to replace charge-
based memory devices to satisfy high-performance memory requirements. Resistance …
based memory devices to satisfy high-performance memory requirements. Resistance …