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

The continued growth in the demand of data storage and processing has spurred the
development of high-performance storage technologies and brain-inspired neuromorphic …

In this review, a comprehensive survey of different oxide-based resistive random-access
memories (RRAMs) for neuromorphic computing is provided. We begin with the history of …

The implementation of biocompatible and biodegradable information storage would be a
significant step toward next-generation green electronics. On the other hand, benefiting from …

Resistive random access memory (ReRAM) based on a resistive switching (RS) effect is a
new type of non-volatile memory device that stores information based on the reversible …

Among the emerging memories, resistive switching (RS) based resistive random-access
memories (RRAMs) are attracting lots of attention due to their simple metal–insulator–metal …

Organic memory devices are a rapidly evolving field with much improvement in device
performance, fabrication, and application. But the reports have been disparate in terms of …

With the rapid development of mobile internet and artificial intelligence, wearable electronic
devices have a great market prospect. In particular, information storage and processing of …

The threshold switching (TS) phenomenon in memristors has drawn great attention for its
versatile applications in selectors, artificial neurons, true random number generators, and …

Lowering the programing power consumption is of importance to capacitate high‐efficiency
flexible neuromorphic electronics. However, this remains particularly challenging for organic …