Materials for high-temperature digital electronics
Silicon microelectronics, consisting of complementary metal–oxide–semiconductor
technology, have changed nearly all aspects of human life from communication to …
technology, have changed nearly all aspects of human life from communication to …
Open-loop analog programmable electrochemical memory array
P Chen, F Liu, P Lin, P Li, Y **ao, B Zhang… - Nature …, 2023 - nature.com
Emerging memories have been developed as new physical infrastructures for hosting neural
networks owing to their low-power analog computing characteristics. However, accurately …
networks owing to their low-power analog computing characteristics. However, accurately …
Electrochemical random-access memory: recent advances in materials, devices, and systems towards neuromorphic computing
Artificial neural networks (ANNs), inspired by the human brain's network of neurons and
synapses, enable computing machines and systems to execute cognitive tasks, thus …
synapses, enable computing machines and systems to execute cognitive tasks, thus …
Dielectric-engineered high-speed, low-power, highly reliable charge trap flash-based synaptic device for neuromorphic computing beyond inference
The coming of the big-data era brought a need for power-efficient computing that cannot be
realized in the Von Neumann architecture. Neuromorphic computing which is motivated by …
realized in the Von Neumann architecture. Neuromorphic computing which is motivated by …
On-chip integrated atomically thin 2D material heater as a training accelerator for an electrochemical random-access memory synapse for neuromorphic computing …
An artificial synapse based on oxygen-ion-driven electrochemical random-access memory
(O-ECRAM) devices is a promising candidate for building neural networks embodied in …
(O-ECRAM) devices is a promising candidate for building neural networks embodied in …
Intercalation of functional materials with phase transitions for neuromorphic applications
The introduction of foreign ions, atoms, or molecules into emerging functional materials is
crucial for manipulating the physical properties of materials and innovating device …
crucial for manipulating the physical properties of materials and innovating device …
WOx channel engineering of Cu-ion-driven synaptic transistor array for low-power neuromorphic computing
The multilevel current states of synaptic devices in artificial neural networks enable next-
generation computing to perform cognitive functions in an energy-efficient manner …
generation computing to perform cognitive functions in an energy-efficient manner …
Bypass Resistive RAM with Interface Switching-Based Resistive RAM and InGaZnO Bypass Transistor for V-NAND Applications
G Han, K Lee, D Kim, Y Seo, J Lee… - IEEE Electron …, 2023 - ieeexplore.ieee.org
We report a bypass resistive random-access memory (B-RRAM), which combines interface
switching-based RRAM and an IGZO transistor, providing high compatibility with a vertical …
switching-based RRAM and an IGZO transistor, providing high compatibility with a vertical …