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 …

Despite technical efforts and upgrades, advances in complementary metal–oxide–
semiconductor circuits have become unsustainable in the face of inherent silicon limits. New …

Abstract Two-dimensional (2D) materials could potentially be used to develop advanced
monolithic integrated circuits. However, despite impressive demonstrations of single devices …

Realization of high-density and reliable resistive random access memories based on two-
dimensional semiconductors is crucial toward their development in next-generation …

The advent of two-dimensional transition metal dichalcogenides (2D-TMDs) has led to an
extensive amount of interest amongst scientists and engineers alike and an intensive …

Memristive and nanoionic devices have recently emerged as leading candidates for
neuromorphic computing architectures. While top-down fabrication based on conventional …

Hexagonal boron nitride (h‐BN), an insulating 2D layered material, has recently attracted
tremendous interest motivated by the extraordinary properties it shows across the fields of …

Artificial optoelectronic synapses with both electrical and light‐induced synaptic behaviors
have recently been studied for applications in neuromorphic computing and artificial vision …

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 …

This review discusses recent advances and future research priorities in the transition-metal
dichalcogenide (TMD) field. While the community has witnessed tremendous advances …