In-materio reservoir computing based on nanowire networks: fundamental, progress, and perspective
R Fang, W Zhang, K Ren, P Zhang, X Xu… - Materials …, 2023 - iopscience.iop.org
The reservoir computing (RC) system, known for its ability to seamlessly integrate memory
and computing functions, is considered as a promising solution to meet the high demands …
and computing functions, is considered as a promising solution to meet the high demands …
A bi-functional three-terminal memristor applicable as an artificial synapse and neuron
Due to their significant resemblance to the biological brain, spiking neural networks (SNNs)
show promise in handling spatiotemporal information with high time and energy efficiency …
show promise in handling spatiotemporal information with high time and energy efficiency …
Memristive devices based hardware for unlabeled data processing
Z ** neuromorphic hardware
platforms, which can compete with biological systems in density, accuracy, and energy …
platforms, which can compete with biological systems in density, accuracy, and energy …
Dynamic Memristors for Physical Reservoir Computing
Q Zhang, W Ouyang, X Wang, F Yang, J Chen, Z Wen… - Nanoscale, 2024 - pubs.rsc.org
Reservoir computing (RC) has garnered considerable attention for its efficient handling of
temporal signal and lower training costs. As a nonlinear dynamical system, RC can map low …
temporal signal and lower training costs. As a nonlinear dynamical system, RC can map low …
Facile intercalation of alkali ions in WO3 for modulated electronic and optical properties: Implications for artificial synapses and chromogenic application
Tungsten oxides (WO3) are widely recognized as multifunctional systems owing to the
existence of rich polymorphs. These diverse phases exhibit distinct octahedra-tilting …
existence of rich polymorphs. These diverse phases exhibit distinct octahedra-tilting …