Research on electronic devices and materials is currently driven by both the slowing down
of transistor scaling and the exponential growth of computing needs, which make present …

Memristors in electronics have shown the potential for a range of applications, ranging from
circuit elements to neuromorphic computing. In recent years, the ability to vary the …

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

The demand for computing power has been increasing exponentially since the emergence
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …

A memristor is a two-terminal device with nonvolatile resistive switching (RS) behaviors.
Recently, memristors have been highly desirable for both fundamental research and …

Metal‐halide perovskites have drawn profuse attention during the past decade, owing to
their excellent electrical and optical properties, facile synthesis, efficient energy conversion …

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 …

Neuromorphic computing holds promise for building next‐generation intelligent systems in a
more energy‐efficient way than the conventional von Neumann computing architecture …

Neuromorphic computing could enable the potential to break the inherent limitations of
conventional von Neumann architectures, which has led to widespread research interest in …

Neuromorphic electronics draw attention as innovative approaches that facilitate hardware
implementation of next‐generation artificial intelligent system including neuromorphic in …