Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …

Due to the increasing importance of artificial intelligence (AI), significant recent effort has
been devoted to the development of neuromorphic circuits that seek to emulate the energy …

Neuromorphic computing memristors are attractive to construct low-power-consumption
electronic textiles due to the intrinsic interwoven architecture and promising applications in …

With the advent of the Internet of Things and big data, massive data must be rapidly
processed and stored within a short timeframe. This imposes stringent requirements on …

Neuromorphic computing has been attracting ever‐increasing attention due to superior
energy efficiency, with great promise to promote the next wave of artificial general …

Two-dimensional materials and their heterostructures have thus far been identified as
leading candidates for nanoelectronics owing to the near-atom thickness, superior …

Memristors integrated into a crossbar‐array architecture (CAA) are promising candidates for
nonvolatile memory elements in artificial neural networks. However, the relatively low …

The emerging field of artificial intelligence of things (AIoT, AI+ IoT) is driven by the
widespread use of intelligent infrastructures and the impressive success of deep learning …

Summary Two-dimensional (2D) van der Waals materials have found broad utility in a
diverse range of applications including electronics, optoelectronics, renewable energy, and …

The essential step for developing neuromorphic systems is to construct more biorealistic
elementary devices with rich spatiotemporal dynamics to exhibit highly separable responses …