Confronted by the difficulties of the von Neumann bottleneck and memory wall, traditional
computing systems are gradually inadequate for satisfying the demands of future data …

The memristor is an excellent candidate for nonvolatile memory and neuromorphic
computing. Recently, two-dimensional (2D) materials have been developed for use in …

Artificial optoelectronic synapses with both electrical and light‐induced synaptic behaviors
have recently been studied for applications in neuromorphic computing and artificial vision …

The neuromorphic system is an attractive platform for next-generation computing with low
power and fast speed to emulate knowledge-based learning. Here, we design ferroelectric …

Organic artificial synapses are becoming the most desirable format for neuromorphic
computing due to their highly tunable resistive states. However, repressively low analog …

Mental health problems are an increasingly common social issue severely affecting health
and well-being. Multimedia processing technologies via facial expression show appealing …

For organic memristors, non-zero-crossing current–voltage (I–V) curves are often observed,
which can be attributed to capacitive effects. If the conversion between the capacitance …

An artificial synapse is essential for neuromorphic computing which has been expected to
overcome the bottleneck of the traditional von-Neumann system. Memristors can work as an …

In this paper, a discrete model of memristor is adopted and analyzed. The new discrete
maps are built by introducing this discrete memristor model into a two-dimensional discrete …

The present study reports a memory structure Al/V2O5/NiMnIn on a flexible stainless steel
(SS) substrate for neuromorphic applications. The fabricated device exhibits gradual SET …