Memory effects are ubiquitous in nature and are particularly relevant at the nanoscale where
the dynamical properties of electrons and ions strongly depend on the history of the system …

The memristor is the fundamental nonlinear circuit element, with uses in computing and
computer memory. Resistive Random Access Memory (ReRAM) is a resistive switching …

A number of recent efforts have attempted to design accelerators for popular machine
learning algorithms, such as those involving convolutional and deep neural networks (CNNs …

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 …

In this paper, we investigate the read operation of memristor-based memories. We analyze
the sneak paths problem and provide a noise margin metric to compare the various …

Memristive devices are novel structures, developed primarily as memory. Another interesting
application for memristive devices is logic circuits. In this paper, MRL (Memristor Ratioed …

Recent developments in Non-Volatile Memories (NVMs) have opened up a new horizon for
in-memory computing. Despite the significant performance gain offered by computational …

Passive crossbar resistive random access memory (RRAM) arrays require select devices
with nonlinear IV characteristics to address the sneak-path problem. Here, we present a …

We have demonstrated, for the first time, a novel three-dimensional (3D) memory chip
architecture of stacked-memory-devices-on-logic (SMOL) achieving up to 95% of cell-area …

Novel nonvolatile universal memory technology is essential for providing required storage
for nanocomputing. As a potential contender for the next-generation memory, the recently …