All‐Solid‐State Oxygen Ion Electrochemical Random‐Access Memory for Neuromorphic Computing
Sign Up to like & getrecommendations! Published in 2021 at "Advanced Electronic Materials"
DOI: 10.1002/aelm.202100142
Abstract: Artificial synapses based on electrochemical random‐access memory (ECRAM) have emerged as an important component for neuromorphic chips because they are capable to execute simultaneous signal transmission and memory operations. However, existing ECRAM synapse surfers with… read more here.
Keywords: random access; oxygen ion; oxygen; memory ... See more keywords
Strategies to Improve the Synaptic Characteristics of Oxygen-Based Electrochemical Random-Access Memory Based on Material Parameters Optimization.
Sign Up to like & getrecommendations! Published in 2022 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.1c21045
Abstract: Oxygen-based electrochemical random-access memories (O-ECRAMs) are promising synaptic devices for neuromorphic applications because of their near-ideal synaptic characteristics and compatibility with complementary metal-oxide-semiconductor processes. However, the correlation between material parameters and synaptic properties of O-ECRAM… read more here.
Keywords: based electrochemical; oxygen based; random access; electrochemical random ... See more keywords
On-Chip Integrated Atomically Thin 2D Material Heater as a Training Accelerator for an Electrochemical Random-Access Memory Synapse for Neuromorphic Computing Application.
Sign Up to like & getrecommendations! Published in 2022 at "ACS nano"
DOI: 10.1021/acsnano.2c02913
Abstract: 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 neuromorphic hardware. However, achieving commercial-level learning accuracy in O-ECRAM synapses, analog conductance tuning at… read more here.
Keywords: atomically thin; heater; random access; electrochemical random ... See more keywords
Ion-Driven Electrochemical Random-Access Memory-Based Synaptic Devices for Neuromorphic Computing Systems: A Mini-Review
Sign Up to like & getrecommendations! Published in 2022 at "Micromachines"
DOI: 10.3390/mi13030453
Abstract: To enhance the computing efficiency in a neuromorphic architecture, it is important to develop suitable memory devices that can emulate the role of biological synapses. More specifically, not only are multiple conductance states needed to… read more here.
Keywords: review; random access; electrochemical random; access memory ... See more keywords