In this manuscript, recent progress in the area of resistive random access memory (RRAM)
technology which is considered one of the most standout emerging memory technologies …

Resistive Random Access Memories (RRAMs) are based on resistive switching (RS)
operation and exhibit a set of technological features that make them ideal candidates for …

In this paper, we present a compact model for metal-oxide-based resistive random access
memory (RRAM) devices with bipolar switching characteristics. The switching mechanism …

A dynamic Verilog-A resistive random access memory (RRAM) compact model, including
cycle-to-cycle variation, is developed for circuit/system explorations. The model not only …

In this work, we provide a comprehensive discussion on the various models proposed for the
design and description of resistive random access memory (RRAM), being a nascent …

Memristive devices have shown great promise to facilitate the acceleration and improve the
power efficiency of Deep Learning (DL) systems. Crossbar architectures constructed using …

This paper gives an overview of recent progress in the brain-inspired computing field with a
focus on implementation using emerging memories as electronic synapses. Design …

A revision of the different numerical techniques employed to extract resistive switching (RS)
and modeling parameters is presented. The set and reset voltages, commonly used for …

The semiconductor industry is currently challenged by the emergence of Internet of Things,
Big data, and deep-learning techniques to enable object recognition and inference in …

Modeling of resistive RAMs (RRAMs) is a herculean task due to its non-linearity. While the
exigent need for a model has motivated research groups to formulate realistic models, the …