The performance of conventional computer based on von Neumann architecture is limited
due to the physical separation of memory and processor. By synergistically integrating …

This article presents a review of the current development and challenges in memristor
modeling. We review the mechanisms of memristive devices based on various …

Dense crossbar arrays of non-volatile memory (NVM) devices represent one possible path
for implementing massively-parallel and highly energy-efficient neuromorphic computing …

Owing to their attractive application potentials in both non-volatile memory and
unconventional computing, memristive devices have drawn substantial research attention in …

Neuromorphic computing holds promise for building next‐generation intelligent systems in a
more energy‐efficient way than the conventional von Neumann computing architecture …

This review addresses resistive switching devices operating according to the bipolar
valence change mechanism (VCM), which has become a major trend in electronic materials …

The memristor is a resistive switch where its resistive state is programable based on the
applied voltage or current. Memristive devices are thus capable of storing and computing …

Neuromorphic architectures are in the spotlight as promising candidates for substituting
current computing systems owing to their high operation speed, scale‐down ability, and …

Implementing synaptic functions with electronic devices is critical to achieve neuromorphic
systems on the hardware platform, as synapses play important roles in brain computing and …

Memristors have been intensively studied in recent years as potential building blocks for the
construction of versatile neuromorphic architectures. The prevalent developments focus on …