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

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

Neuromorphic computing based on emerging devices could overcome the von Neumann
bottleneck—the restriction created by having to transfer data between memory and …

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

Memristive devices, which combine a resistor with memory functions such that voltage
pulses can change their resistance (and hence their memory state) in a nonvolatile manner …

Field-effect transistors based on two-dimensional (2D) materials have the potential to be
used in very large-scale integration (VLSI) technology, but whether they can be used at the …

Abstract Two-dimensional (2D) semiconductors such as molybdenum disulfide (MoS2) have
attracted tremendous interest for transistor applications. However, the fabrication of 2D …

Artificial neurons and synapses are considered essential for the progress of the future brain‐
inspired computing, based on beyond von Neumann architectures. Here, a discussion on …

Memristive devices can offer dynamic behaviour, analogue programmability, and scaling
and integration capabilities. As a result, they are of potential use in the development of …

The neural network image sensor—which mimics neurobiological functions of the human
retina—has recently been demonstrated to simultaneously sense and process optical …