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

Perovskite materials have driven tremendous advances in constructing electronic devices
owing to their low cost, facile synthesis, outstanding electric and optoelectronic properties …

Being renowned for operating with visible‐light pulses and electrical signals, optoelectronic
memristive synaptic devices have excellent potential for neuromorphic computing systems …

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 …

The discovery of two‐dimensional (2D) materials with unique electronic, superior
optoelectronic, or intrinsic magnetic order has triggered worldwide interest in the fields of …

Photogating effect is the dominant mechanism of most high-responsivity two-dimensional
(2D) material photodetectors. However, the ultrahigh responsivities in those devices are …

Imprinting vision as memory is a core attribute of human cognitive learning. Fundamental to
artificial intelligence systems are bioinspired neuromorphic vision components for the visible …

Brain-inspired neuromorphic computing, featured by parallel computing, is considered as
one of the most energy-efficient and time-saving architectures for massive data computing …

Flexible, stretchable, and bendable materials, including inorganic semiconductors, organic
polymers, graphene, and transition metal dichalcogenides (TMDs), are attracting great …