A review of memristor: material and structure design, device performance, applications and prospects
Y **ao, B Jiang, Z Zhang, S Ke, Y **… - … and Technology of …, 2023 - Taylor & Francis
With the booming growth of artificial intelligence (AI), the traditional von Neumann
computing architecture based on complementary metal oxide semiconductor devices are …
computing architecture based on complementary metal oxide semiconductor devices are …
Current status and prospects of memristors based on novel 2D materials
As promising non-volatile memory devices, memristors have received extensive attention
since they can effectively mimic synapses and enable the fabrication of neuromorphic …
since they can effectively mimic synapses and enable the fabrication of neuromorphic …
The future of electronics based on memristive systems
A memristor is a resistive device with an inherent memory. The theoretical concept of a
memristor was connected to physically measured devices in 2008 and since then there has …
memristor was connected to physically measured devices in 2008 and since then there has …
Extremely low operating current resistive memory based on exfoliated 2D perovskite single crystals for neuromorphic computing
Extremely low energy consumption neuromorphic computing is required to achieve
massively parallel information processing on par with the human brain. To achieve this goal …
massively parallel information processing on par with the human brain. To achieve this goal …
Ferroic tunnel junctions and their application in neuromorphic networks
Brain-inspired neuromorphic computing has been intensively studied due to its potential to
address the inherent energy and throughput limitations of conventional Von-Neumann …
address the inherent energy and throughput limitations of conventional Von-Neumann …
On‐demand reconfiguration of nanomaterials: when electronics meets ionics
Rapid advances in the semiconductor industry, driven largely by device scaling, are now
approaching fundamental physical limits and face severe power, performance, and cost …
approaching fundamental physical limits and face severe power, performance, and cost …
Decade of 2D-materials-based RRAM devices: a review
Two dimensional (2D) materials have offered unique electrical, chemical, mechanical and
physical properties over the past decade owing to their ultrathin, flexible, and multilayer …
physical properties over the past decade owing to their ultrathin, flexible, and multilayer …
Analog‐type resistive switching devices for neuromorphic computing
Brain‐inspired neuromorphic computing has attracted considerable attention due to its
potential to circumvent the “von Neumann bottleneck” and mimic human brain activity in …
potential to circumvent the “von Neumann bottleneck” and mimic human brain activity in …
[HTML][HTML] Three Musketeers: demonstration of multilevel memory, selector, and synaptic behaviors from an Ag-GeTe based chalcogenide material
Functional neuronal computing systems that support information diversification require high-
density memory with selector devices to reduce leakage current in cross-point architectures …
density memory with selector devices to reduce leakage current in cross-point architectures …
A self-rectifying TaOy/nanoporous TaOx memristor synaptic array for learning and energy-efficient neuromorphic systems
The human brain intrinsically operates with a large number of synapses, more than 1015.
Therefore, one of the most critical requirements for constructing artificial neural networks …
Therefore, one of the most critical requirements for constructing artificial neural networks …