Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

Flexible electronic devices have been extensively studied for their advantages of
distinguished portability, conformal contact characteristics, and human‐friendly interfaces …

The rapid development of neuro-inspired computing demands synaptic devices with ultrafast
speed, low power consumption, and multiple non-volatile states, among other features …

In neuromorphic computing networks, a flexible synaptic memristor with high recognition
accuracy is highly desired. In this study, ZnO nanosheets (ZnO NS) embedded within a …

Ferroelectric (FE) and antiferroelectric (AFE) materials are used for several memory‐related
and energy‐related applications. Perovskite materials (eg, bulk ceramics) remain the most …

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 …

The shift towards a distributed computing paradigm, where multiple systems acquire and
elaborate data in real-time, leads to challenges that must be met. In particular, it is becoming …

The synaptic properties of memristors have been widely studied. However, researchers are
still committed to solving various challenges, including the study of highly reliable …

Ferroelectric memristors have great potentials to be the key computational element of the
brain-inspired neuromorphic system due to their excellent endurance, multi-bit storage …

HfO2-based ferroelectric materials are good candidates for constructing next-generation
nonvolatile memories and high-performance electronic synapses and have attracted …