Artificial neuronal devices are critical building blocks of neuromorphic computing systems
and currently the subject of intense research motivated by application needs from new …

The booming development of artificial intelligence (AI) requires faster physical processing
units as well as more efficient algorithms. Recently, reservoir computing (RC) has emerged …

Constructing crossmodal in-sensor processing system based on high-performance flexible
devices is of great significance for the development of wearable human-machine interfaces …

Flexible electronics such as mechanically compliant displays, sensors and solar cells, have
important applications in the fields of energy, national defence and biomedicine, etc. Various …

Silver nanoparticle (AgNP) based inks are widely used in printed electronics to form
conductive patterns. However, high resolution and high electrical conductivity are still hard …

Threshold switching (TS) memristor-based artificial neurons have been regarded as one of
the promising solutions for constructing circuits of spiking neural networks (SNNs) due to …

Most of the existing memristors are complicated to prepare, which is not conducive to actual
applications. In this paper, a Zn/ZnSO 4/Pt (ZSP) memristor with a simple preparation …

Ferroelectric memristors, characterized by spontaneous polarization ferroelectric materials
as a functional layer of memristor, yields unique ferroelectric resistive switching behaviours …

With increasing demand for wearable electronics capable of computing huge data, flexible
neuromorphic systems mimicking brain functions have been receiving much attention …

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