A grand family of two-dimensional (2D) materials and their heterostructures have been
discovered through the extensive experimental and theoretical efforts of chemists, material …

Porous crystalline materials usually include metal–organic frameworks (MOFs), covalent
organic frameworks (COFs), hydrogen-bonded organic frameworks (HOFs) and zeolites …

Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …

Photosynaptic organic field‐effect transistors (OFETs) represent a viable pathway to develop
bionic optoelectronics. However, the high operating voltage and current of traditional …

Neuromorphic computing could address the inherent limitations of conventional silicon
technology in dedicated machine learning applications. Recent work on silicon-based …

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

Resistive random access memory (RRAM) devices are receiving increasing extensive
attention due to their enhanced properties such as fast operation speed, simple device …

Inspired by the biological neuromorphic system, which exhibits a high degree of connectivity
to process huge amounts of information, photonic memory is expected to pave a way to …

Emerging flexible artificial sensory systems using neuromorphic electronics have been
considered as a promising solution for processing massive data with low power …