Resistive switching (RS) phenomena are reversible changes in the metastable resistance
state induced by external electric fields. After discovery∼ 50 years ago, RS phenomena …

Future‐generation neuromorphic computing seeks to overcome the limitations of von
Neumann architectures by colocating logic and memory functions, thereby emulating the …

Van der Waals heterostructures are formed by stacking layers of different two-dimensional
materials and offer the possibility to design new materials with atomic-level precision. By …

This tutorial describes challenges and possible avenues for the implementation of the
components of a solid-state system, which emulates a biological brain. The tutorial is …

Novel computing technologies that imitate the principles of biological neural systems may
offer low power consumption along with distinct cognitive and learning advantages,. The …

Memristors are memory resistors that promise the efficient implementation of synaptic
weights in artificial neural networks. Whereas demonstrations of the synaptic operation of …

Inspired by biological neural systems, neuromorphic devices may open up new computing
paradigms to explore cognition, learning and limits of parallel computation. Here we report …

Issues in the circuitry, integration, and material properties of the two‐dimensional (2D) and
three‐dimensional (3D) crossbar array (CBA)‐type resistance switching memories are …

Scaling down materials to an atomic-layer level produces rich physical and chemical
properties as exemplified in various two-dimensional (2D) crystals including graphene …

Memristors are one of the emerging technologies that can potentially replace state-of-the-art
integrated electronic devices for advanced computing and digital and analog circuit …