Organic and hybrid resistive switching materials and devices
S Gao, X Yi, J Shang, G Liu, RW Li - Chemical Society Reviews, 2019 - pubs.rsc.org
The explosive increase in digital communications in the Big Data and internet of Things era
spurs the development of universal memory that can run at high speed with high-density and …
spurs the development of universal memory that can run at high speed with high-density and …
Nonvolatile memories based on graphene and related 2D materials
The pervasiveness of information technologies is generating an impressive amount of data,
which need to be accessed very quickly. Nonvolatile memories (NVMs) are making inroads …
which need to be accessed very quickly. Nonvolatile memories (NVMs) are making inroads …
Flexible transparent high‐efficiency photoelectric perovskite resistive switching memory
X Liu, S Ren, Z Li, J Guo, S Yi, Z Yang… - Advanced Functional …, 2022 - Wiley Online Library
Perovskite resistive random‐access memory (RRAM) is a promising candidate for next‐
generation logic, adaptive and nonvolatile memory devices, because of its high ON/OFF …
generation logic, adaptive and nonvolatile memory devices, because of its high ON/OFF …
Graphene and related materials for resistive random access memories
F Hui, E Grustan‐Gutierrez, S Long… - Advanced Electronic …, 2017 - Wiley Online Library
Graphene and related materials (GRMs) are promising candidates for the fabrication of
resistive random access memories (RRAMs). Here, this emerging field is analyzed …
resistive random access memories (RRAMs). Here, this emerging field is analyzed …
A mini review of neuromorphic architectures and implementations
RA Nawrocki, RM Voyles… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Neuromorphic architectures are hardware systems that aim to use the principles of neural
function for their basis of operation. Their goal is to harness biologically inspired concepts …
function for their basis of operation. Their goal is to harness biologically inspired concepts …
Nanoionics‐enabled memristive devices: strategies and materials for neuromorphic applications
Memristors have been intensively studied in recent years as potential building blocks for the
construction of versatile neuromorphic architectures. The prevalent developments focus on …
construction of versatile neuromorphic architectures. The prevalent developments focus on …
Resistive switching performance improvement via modulating nanoscale conductive filament, involving the application of two‐dimensional layered materials
Reversible chemical and structural changes induced by ionic motion and reaction in
response to electrical stimuli leads to resistive switching effects in metal‐insulator‐metal …
response to electrical stimuli leads to resistive switching effects in metal‐insulator‐metal …
2D layered materials for memristive and neuromorphic applications
With many fantastic properties, memristive devices are a top candidate for next‐generation
memory and neuromorphic computing chips. Significant research progress has been made …
memory and neuromorphic computing chips. Significant research progress has been made …
Recent developments and perspectives for memristive devices based on metal oxide nanowires
Memristive devices are considered one of the most promising candidates to overcome
technological limitations for realizing next‐generation memories, logic applications, and …
technological limitations for realizing next‐generation memories, logic applications, and …
A Review of Graphene‐Based Memristive Neuromorphic Devices and Circuits
As data processing volume increases, the limitations of traditional computers and the need
for more efficient computing methods become evident. Neuromorphic computing mimics the …
for more efficient computing methods become evident. Neuromorphic computing mimics the …