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 …

Due to the voltage driven switching at low voltages combined with nonvolatility of the
achieved polarization state, ferroelectric materials have a unique potential for low power …

Artificial synapses can boost neuromorphic computing to overcome the inherent limitations
of von Neumann architecture. As a promising memristor candidate, ferroelectric tunnel …

The rapid development of neuro-inspired computing demands synaptic devices with ultrafast
speed, low power consumption, and multiple non-volatile states, among other features …

Nowadays the development of machine vision is oriented toward real-time applications such
as autonomous driving. This demands a hardware solution with low latency, high energy …

Recently, 2D ferroelectrics have attracted extensive interest as a competitive platform for
implementing future generation functional electronics, including digital memory and brain …

An all-in-one artificial synapse integrating central nervous and sensory nervous functions
utilizing low-dimensional metal-oxide heterojunction is demonstrated in this work. With an …

Neuromorphic computing based on memristors capable of in-memory computing is
promising to break the energy and efficiency bottleneck of well-known von Neumann …

Atomically thin hexagonal boron nitride (h‐BN) is an emerging star of 2D materials. It is
taken as an optimal substrate for other 2D‐material‐based devices owing to its atomical …

Humanoid robots, intelligent machines resembling the human body in shape and functions,
cannot only replace humans to complete services and dangerous tasks but also deepen the …