Resistive switching materials for information processing
The rapid increase in information in the big-data era calls for changes to information-
processing paradigms, which, in turn, demand new circuit-building blocks to overcome the …
processing paradigms, which, in turn, demand new circuit-building blocks to overcome the …
The future of memristors: Materials engineering and neural networks
K Sun, J Chen, X Yan - Advanced Functional Materials, 2021 - Wiley Online Library
Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …
booming, and neural networks have become the hot research direction. However, due to the …
Fully memristive neural networks for pattern classification with unsupervised learning
Neuromorphic computers comprised of artificial neurons and synapses could provide a
more efficient approach to implementing neural network algorithms than traditional …
more efficient approach to implementing neural network algorithms than traditional …
[HTML][HTML] Brain-inspired computing with memristors: Challenges in devices, circuits, and systems
This article provides a review of current development and challenges in brain-inspired
computing with memristors. We review the mechanisms of various memristive devices that …
computing with memristors. We review the mechanisms of various memristive devices that …
Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing
The accumulation and extrusion of Ca2+ in the pre-and postsynaptic compartments play a
critical role in initiating plastic changes in biological synapses. To emulate this fundamental …
critical role in initiating plastic changes in biological synapses. To emulate this fundamental …
A review of resistive switching devices: performance improvement, characterization, and applications
As human society enters the big data era, huge data storage and energy‐efficient data
processing are in great demand. The resistive switching device is an emerging device with …
processing are in great demand. The resistive switching device is an emerging device with …
Ion gated synaptic transistors based on 2D van der Waals crystals with tunable diffusive dynamics
Neuromorphic computing represents an innovative technology that can perform intelligent
and energy‐efficient computation, whereas construction of neuromorphic systems requires …
and energy‐efficient computation, whereas construction of neuromorphic systems requires …
Echo state graph neural networks with analogue random resistive memory arrays
S Wang, Y Li, D Wang, W Zhang, X Chen… - Nature Machine …, 2023 - nature.com
Recent years have witnessed a surge of interest in learning representations of graph-
structured data, with applications from social networks to drug discovery. However, graph …
structured data, with applications from social networks to drug discovery. However, graph …
Understanding memristive switching via in situ characterization and device modeling
Owing to their attractive application potentials in both non-volatile memory and
unconventional computing, memristive devices have drawn substantial research attention in …
unconventional computing, memristive devices have drawn substantial research attention in …
Recent progress in resistive random access memories: Materials, switching mechanisms, and performance
This review article attempts to provide a comprehensive review of the recent progress in the
so-called resistive random access memories (RRAMs). First, a brief introduction is presented …
so-called resistive random access memories (RRAMs). First, a brief introduction is presented …