Multilevel storage memristors have great potential for use in neuromorphic computing, high-
density storage, and the creation of artificial synapses. In this work, we report a multilevel …

Memristors with controllable resistive switching (RS) characteristics gain significant attention
for neuromorphic computing applications in high-density memory and artificial synapses …

Transient memristor, which can be decomposed in water after completing the designed task,
has shown great potentials in data security, implantable medical devices, and eco‐friendly …

Memristors with gradual conduction modulation can store and process information
simultaneously similar to the way biological synapses function by adjusting the connections …

This study evaluated the memristive switching characteristics of a biomaterial solid polymer
electrolyte (SPE) chitosan-based memristor and confirmed its artificial synaptic behavior with …

Memristors are promising components for applications in nonvolatile memory, logic circuits,
and neuromorphic computing. In this paper, a novel circuit for memristor-based multilayer …

Memristors will be critical components in the next generation of digital technology and
artificial synapses. Researchers are investigating innovative mechanistic understanding of …

Graphene oxide (GO)-based memristors offer the promise of low cost, eco-friendliness, and
mechanical flexibility, making them attractive candidates for outstanding flexible electronic …

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 …

A huge amount of data requires the non-volatile memory (NVM) technology to exhibit large-
capacity storage and fast calculation speed. To further solve the bottleneck of storage …