In the biological nervous system, the integration and cooperation of parallel system of
receptors, neurons, and synapses allow efficient detection and processing of intricate and …

Conventional artificial intelligence (AI) systems are facing bottlenecks due to the
fundamental mismatches between AI models, which rely on parallel, in-memory, and …

In response to the growing need for efficient processing of temporal information,
neuromorphic computing systems are placing increased emphasis on the switching …

Graphene oxide/Al2O3-based diffusive memristor cells: enabling robust crossbar arrays for
multidisciplinary applications | Rare Metals Skip to main content Advertisement SpringerLink …

Employing naturally abundant bio-materials in fabrication of electronic devices is promising
for the development of an eco-friendly community. Herein, we report that tea polyphenols …

Memristive devices with threshold switching characteristics can be effectively utilized to
mimic biological neurons acting as one of the key building blocks for constructing advanced …

Threshold-type resistive switching (RS) is an essential electronic behavior in many types of
integrated circuits and can be exploited in multiple applications, such as leaky integrate-and …

Inspired by the functions of biological neural networks, volatile memristors are essential for
implementing neuromorphic computing. These devices enable large-scale and energy …

Memristors hold significant promise in data storage and synaptic performance bionics. This
work presents a memory structure based on silk fibroin (SF), demonstrating remarkable …

Diffusive threshold switching (TS) memristors have emerged as a promising candidate for
artificial neurons, effectively replicating neuronal functions and enabling spiking neural …