Standards for the characterization of endurance in resistive switching devices
Resistive switching (RS) devices are emerging electronic components that could have
applications in multiple types of integrated circuits, including electronic memories, true …
applications in multiple types of integrated circuits, including electronic memories, true …
Variability in resistive memories
Resistive memories are outstanding electron devices that have displayed a large potential in
a plethora of applications such as nonvolatile data storage, neuromorphic computing …
a plethora of applications such as nonvolatile data storage, neuromorphic computing …
Neuromemristive circuits for edge computing: A review
O Krestinskaya, AP James… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
The volume, veracity, variability, and velocity of data produced from the ever increasing
network of sensors connected to Internet pose challenges for power management …
network of sensors connected to Internet pose challenges for power management …
The building blocks of a brain-inspired computer
JD Kendall, S Kumar - Applied Physics Reviews, 2020 - pubs.aip.org
Computers have undergone tremendous improvements in performance over the last 60
years, but those improvements have significantly slowed down over the last decade, owing …
years, but those improvements have significantly slowed down over the last decade, owing …
Robust resistive memory devices using solution-processable metal-coordinated azo aromatics
Non-volatile memories will play a decisive role in the next generation of digital technology.
Flash memories are currently the key player in the field, yet they fail to meet the commercial …
Flash memories are currently the key player in the field, yet they fail to meet the commercial …
A general memristor-based partial differential equation solver
Memristive devices have been extensively studied for data-intensive tasks such as artificial
neural networks. These types of computing tasks are considered to be 'soft'as they can …
neural networks. These types of computing tasks are considered to be 'soft'as they can …
MoS2 Synapses with Ultra-low Variability and Their Implementation in Boolean Logic
Brain-inspired computing enabled by memristors has gained prominence over the years due
to the nanoscale footprint and reduced complexity for implementing synapses and neurons …
to the nanoscale footprint and reduced complexity for implementing synapses and neurons …
Electrochemical ionic synapses: progress and perspectives
Artificial neural networks based on crossbar arrays of analog programmable resistors can
address the high energy challenge of conventional hardware in artificial intelligence …
address the high energy challenge of conventional hardware in artificial intelligence …
[HTML][HTML] Exploiting the switching dynamics of HfO2-based ReRAM devices for reliable analog memristive behavior
The utilization of bipolar-type memristive devices for the realization of synaptic connectivity
in neural networks strongly depends on the ability of the devices for analog conductance …
in neural networks strongly depends on the ability of the devices for analog conductance …
Room-temperature fabricated multilevel nonvolatile lead-free cesium halide memristors for reconfigurable in-memory computing
TK Su, WK Cheng, CY Chen, WC Wang, YT Chuang… - ACS …, 2022 - ACS Publications
Recently, conductive-bridging memristors based on metal halides, such as halide
perovskites, have been demonstrated as promising components for brain-inspired hardware …
perovskites, have been demonstrated as promising components for brain-inspired hardware …