Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …

Owing to its close resemblance to biological systems and materials, soft matter has been
successfully implemented in numerous bioelectronic and biosensing applications, as well as …

Graphene and two-dimensional materials (2DM) remain an active field of research in
science and engineering over 15 years after the first reports of 2DM. The vast amount of …

The growing computational demand in artificial intelligence calls for hardware solutions that
are capable of in situ machine learning, where both training and inference are performed by …

Nanowire networks (NWNs) mimic the brain's neurosynaptic connectivity and emergent
dynamics. Consequently, NWNs may also emulate the synaptic processes that enable …

A multitude of chemical, biological, and material systems present an inductive behavior that
is not electromagnetic in origin. Here, it is termed a chemical inductor. We show that the …

Over the last few decades, the research on ferroelectric memories has been limited due to
their dimensional scalability and incompatibility with complementary metal‐oxide …

Ferroelectric materials have been intensively investigated for high‐performance nonvolatile
memory devices in the past decades, owing to their nonvolatile polarization characteristics …

Abstract Spiking Neural Networks (SNNs) have recently emerged as a new generation of
low-power deep neural networks due to sparse, asynchronous, and binary event-driven …

An investigation of the kinetic behavior of MAPbI3 memristors shows that the onset voltage
to a high conducting state depends strongly on the voltage sweep rate, and the impedance …