Continued reduction in transistor size can improve the performance of silicon integrated
circuits (ICs). However, as Moore's law approaches physical limits, high‐performance …

Dynamic physical systems such as reservoir computing (RC) architectures show a great
prospect in temporal information processing, whereas hierarchical information processing …

Direct data processing in nonvolatile memories can enable area‐and energy‐efficient
computation, unlike independent performance between separate processing and memory …

The switching variability caused by intrinsic stochasticity of the ionic/atomic motions during
the conductive filaments (CFs) formation process largely limits the applications of diffusive …

Abstract 2D ferroelectrics with robust polar order in the atomic‐scale thickness at room
temperature are needed to miniaturize ferroelectric devices and tackle challenges imposed …

Artificial synapses are a key component of neuromorphic computing systems. To achieve
high‐performance neuromorphic computing ability, a huge number of artificial synapses …

Neuromorphic visual sensory and memory systems that can sense, learn and memorize
optical information have great potential in many areas such as image recognition and …

Abstract 2D‐layered materials and van der Waals heterostructures (vdWHs) have attracted
intense interests in optoelectronic applications. However, the performance of photovoltaic …

The advent of big data era has put forward higher requirements for electronic nanodevices
that have low energy consumption for their application in analog computing with memory …

Programmable devices can be easily switched between n‐type and p‐type devices by
applying an electric field and are promising candidates for simplifying the currently used …