Anomalous resistive switching in memristors based on two-dimensional palladium diselenide using heterophase grain boundaries
The implementation of memristive synapses in neuromorphic computing is hindered by the
limited reproducibility and high energy consumption of the switching behaviour of the …
limited reproducibility and high energy consumption of the switching behaviour of the …
Electron-beam-irradiated rhenium disulfide memristors with low variability for neuromorphic computing
State-of-the-art memristors are mostly formed by vertical metal–insulator–metal (MIM)
structure, which rely on the formation of conductive filaments for resistive switching (RS) …
structure, which rely on the formation of conductive filaments for resistive switching (RS) …
Three-dimensional crossbar arrays of self-rectifying Si/SiO2/Si memristors
Memristors are promising building blocks for the next-generation memory and neuromorphic
computing systems. Most memristors use materials that are incompatible with the silicon …
computing systems. Most memristors use materials that are incompatible with the silicon …
Memristor based on inorganic and organic two-dimensional materials: mechanisms, performance, and synaptic applications
K Liao, P Lei, M Tu, S Luo, T Jiang… - ACS Applied Materials …, 2021 - ACS Publications
A memristor is a two-terminal device with nonvolatile resistive switching (RS) behaviors.
Recently, memristors have been highly desirable for both fundamental research and …
Recently, memristors have been highly desirable for both fundamental research and …
An Electronic Synapse Based on 2D Ferroelectric CuInP2S6
Memristors with biological synaptic behaviors and functions have been intensively studied
as an important component for neuromorphic computing system, which hold promise to …
as an important component for neuromorphic computing system, which hold promise to …
Observation of conducting filament growth in nanoscale resistive memories
Nanoscale resistive switching devices, sometimes termed memristors, have recently
generated significant interest for memory, logic and neuromorphic applications. Resistive …
generated significant interest for memory, logic and neuromorphic applications. Resistive …
Robust memristors based on layered two-dimensional materials
Van der Waals heterostructures are formed by stacking layers of different two-dimensional
materials and offer the possibility to design new materials with atomic-level precision. By …
materials and offer the possibility to design new materials with atomic-level precision. By …
Controlled memory and threshold switching behaviors in a heterogeneous memristor for neuromorphic computing
HY Li, XD Huang, JH Yuan, YF Lu… - Advanced Electronic …, 2020 - Wiley Online Library
The fully memristive neural network is emerging as a game‐changer in the artificial
intelligence competition. Artificial synapses and neurons, as two fundamental elements for …
intelligence competition. Artificial synapses and neurons, as two fundamental elements for …
A ferroelectric memristor
Memristors are continuously tunable resistors that emulate biological synapses,.
Conceptualized in the 1970s, they traditionally operate by voltage-induced displacements of …
Conceptualized in the 1970s, they traditionally operate by voltage-induced displacements of …
Scalable nanocomposite parylene-based memristors: Multifilamentary resistive switching and neuromorphic applications
AN Matsukatova, AY Vdovichenko, TD Patsaev… - Nano Research, 2023 - Springer
Memristors are promising candidates for synapse emulation in brain-inspired neuromorphic
computing systems. The main obstacle to their usage in such systems is high variability of …
computing systems. The main obstacle to their usage in such systems is high variability of …