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 …
Memristive synapses and neurons for bioinspired computing
To realize highly efficient neuromorphic computing that is comparable to biological
counterparts, bioinspired computing systems, consisting of biorealistic artificial synapses …
counterparts, bioinspired computing systems, consisting of biorealistic artificial synapses …
Memristor‐Based Intelligent Human‐Like Neural Computing
S Wang, L Song, W Chen, G Wang… - Advanced Electronic …, 2023 - Wiley Online Library
Humanoid robots, intelligent machines resembling the human body in shape and functions,
cannot only replace humans to complete services and dangerous tasks but also deepen the …
cannot only replace humans to complete services and dangerous tasks but also deepen the …
Implementing in-situ self-organizing maps with memristor crossbar arrays for data mining and optimization
A self-organizing map (SOM) is a powerful unsupervised learning neural network for
analyzing high-dimensional data in various applications. However, hardware …
analyzing high-dimensional data in various applications. However, hardware …
Optoelectronic artificial synapses based on two-dimensional transitional-metal trichalcogenide
The memristor is a foundational device for an artificial synapse, which is essential to realize
next-generation neuromorphic computing. Herein, an optoelectronic memristor based on a …
next-generation neuromorphic computing. Herein, an optoelectronic memristor based on a …
[HTML][HTML] Resistive switching in emerging materials and their characteristics for neuromorphic computing
Resistive random access memory would be an important component of microelectronics in
the era of big data storage due to its efficient characteristics such as low cost, fast operating …
the era of big data storage due to its efficient characteristics such as low cost, fast operating …
Prospect and challenges of analog switching for neuromorphic hardware
To inaugurate energy-efficient hardware as a solution to complex tasks, information
processing paradigms shift from von Neumann to non-von Neumann computing …
processing paradigms shift from von Neumann to non-von Neumann computing …
Enhanced Synaptic Characteristics under Applied Magnetic Field in V2O5/NiMnIn-Based Switching Device for Neuromorphic Computing
K Kaushlendra, D Kaur - ACS Applied Electronic Materials, 2023 - ACS Publications
The present study reports a memory structure Al/V2O5/NiMnIn on a flexible stainless steel
(SS) substrate for neuromorphic applications. The fabricated device exhibits gradual SET …
(SS) substrate for neuromorphic applications. The fabricated device exhibits gradual SET …
Multi-Level Analog Resistive Switching Characteristics in Tri-Layer HfO2/Al2O3/HfO2 Based Memristor on ITO Electrode
Atomic layer deposited (ALD) HfO2/Al2O3/HfO2 tri-layer resistive random access memory
(RRAM) structure has been studied with a transparent indium tin oxide (ITO) transparent …
(RRAM) structure has been studied with a transparent indium tin oxide (ITO) transparent …
Artificial neural networks based on memristive devices: From device to system
Memristive devices are essential for artificial neural networks (ANNs) due to their similarity to
biological synapses and neurons in structure, dynamics, and electrical behaviors. By …
biological synapses and neurons in structure, dynamics, and electrical behaviors. By …