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 …
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
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 …
Short-term synaptic plasticity in emerging devices for neuromorphic computing
Neuromorphic computing is a promising computing paradigm toward building next-
generation artificial intelligence machines, in which diverse types of synaptic plasticity play …
generation artificial intelligence machines, in which diverse types of synaptic plasticity play …
Measurement of the activation energies of oxygen ion diffusion in yttria stabilized zirconia by flicker noise spectroscopy
AV Yakimov, DO Filatov, ON Gorshkov… - Applied Physics …, 2019 - pubs.aip.org
The low-frequency noise in a nanometer-sized virtual memristor consisting of a contact of a
conductive atomic force microscope (CAFM) probe to an yttria stabilized zirconia (YSZ) thin …
conductive atomic force microscope (CAFM) probe to an yttria stabilized zirconia (YSZ) thin …
Flexible electronic synapse enabled by ferroelectric field effect transistor for robust neuromorphic computing
G Zhong, M Zi, C Ren, Q Xiao, M Tang, L Wei… - Applied Physics …, 2020 - pubs.aip.org
Neuromorphic computing has the potential to accelerate high performance parallel and low
power in-memory computation, artificial intelligence, and adaptive learning. Despite …
power in-memory computation, artificial intelligence, and adaptive learning. Despite …
In situ observation of low‐power nano‐synaptic response in graphene oxide using conductive atomic force microscopy
Multiple studies have reported the observation of electro‐synaptic response in different
metal/insulator/metal devices. However, most of them analyzed large (> 1 µm2) devices that …
metal/insulator/metal devices. However, most of them analyzed large (> 1 µm2) devices that …
Temperature-modulated switching behaviors of diffusive memristor for biorealistic emulation of synaptic plasticity
Q Tian, X Chen, X Zhao, Z Wang, Y Lin, Y Tao… - Applied Physics …, 2023 - pubs.aip.org
Temperature is known as an important factor in biological synaptic transmission. In this
study, temperature-modulated switching behaviors are reported in an amorphous carbon …
study, temperature-modulated switching behaviors are reported in an amorphous carbon …
Investigating the origins of ultra-short relaxation times of silver filaments in forming-free SiO2-based conductive bridge memristors
P Bousoulas, D Sakellaropoulos… - …, 2020 - iopscience.iop.org
The threshold switching effect is considered of outmost importance for a variety of
applications ranging from the reliable operation of crossbar architectures to emulating …
applications ranging from the reliable operation of crossbar architectures to emulating …
Volatile resistive switching memory based on Ag ion drift/diffusion—Part II: Compact modeling
Resistive-switching random access memory (RRAM) based on Cu or Ag filament is a
promising selector device for high-density crosspoint arrays. These devices display high ON …
promising selector device for high-density crosspoint arrays. These devices display high ON …