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 …
A comprehensive review on emerging artificial neuromorphic devices
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …
efficiency and ultralow power consumption. In the past few decades, neuromorphic …
Thousands of conductance levels in memristors integrated on CMOS
Neural networks based on memristive devices,–have the ability to improve throughput and
energy efficiency for machine learning, and artificial intelligence, especially in edge …
energy efficiency for machine learning, and artificial intelligence, especially in edge …
A calibratable sensory neuron based on epitaxial VO2 for spike-based neuromorphic multisensory system
Neuromorphic perception systems inspired by biology have tremendous potential in
efficiently processing multi-sensory signals from the physical world, but a highly efficient …
efficiently processing multi-sensory signals from the physical world, but a highly efficient …
Molybdenum disulfide transistors with enlarged van der Waals gaps at their dielectric interface via oxygen accumulation
Two-dimensional molybdenum disulfide (MoS2) is a potential alternative channel material to
silicon for future scaled transistors. Scaling down the gate dielectric and maintaining a high …
silicon for future scaled transistors. Scaling down the gate dielectric and maintaining a high …
Evolution of the conductive filament system in HfO2-based memristors observed by direct atomic-scale imaging
The resistive switching effect in memristors typically stems from the formation and rupture of
localized conductive filament paths, and HfO2 has been accepted as one of the most …
localized conductive filament paths, and HfO2 has been accepted as one of the most …
Spiking neurons with spatiotemporal dynamics and gain modulation for monolithically integrated memristive neural networks
As a key building block of biological cortex, neurons are powerful information processing
units and can achieve highly complex nonlinear computations even in individual cells …
units and can achieve highly complex nonlinear computations even in individual cells …
A neuromorphic physiological signal processing system based on VO2 memristor for next-generation human-machine interface
Physiological signal processing plays a key role in next-generation human-machine
interfaces as physiological signals provide rich cognition-and health-related information …
interfaces as physiological signals provide rich cognition-and health-related information …
Memristive crossbar arrays for storage and computing applications
The emergence of memristors with potential applications in data storage and artificial
intelligence has attracted wide attentions. Memristors are assembled in crossbar arrays with …
intelligence has attracted wide attentions. Memristors are assembled in crossbar arrays with …
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 …