Flexible neuromorphic electronics that emulate biological neuronal systems constitute a
promising candidate for next‐generation wearable computing, soft robotics, and …

Organic and perovskite memristors have superior characteristics both in material and
structural perspectives, and therefore have been evaluated for possible integration as bio …

Neuromorphic materials are promising for fabricating artificial synapses for flexible
electronics, but they are usually expensive and lack a good combination of electronic and …

The von Neumann computing architecture consists of separated processing and memory
elements; it is too bulky and energy-intensive to be implemented in the upcoming artificial …

In this study, we propose an effective strategy for achieving the flexible one organic
transistor–one organic memristor (1T–1R) synapse using the multifunctional organic …

In flexible neuromorphic systems for realizing artificial intelligence, organic memristors are
essential building blocks as artificial synapses to perform information processing and …

Biomaterials‐based electronic devices (BEDs) have remarkable advantages such as
biocompatibility and biodegradability, which are expected to have promising prospects in …

Organic memristors are promising candidates for the flexible synaptic components of
wearable intelligent systems. With heightened concerns for the environment, considerable …

Hardware neural networks with mechanical flexibility are promising next‐generation
computing systems for smart wearable electronics. Several studies have been conducted on …

Neuromorphic devices that can emulate the bionic sensory and perceptual functions of
neural systems have great applications in personal healthcare monitoring, neuro …