The demand for computing power has been increasing exponentially since the emergence
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …

The human brain is a sophisticated, high‐performance biocomputer that processes multiple
complex tasks in parallel with high efficiency and remarkably low power consumption …

A memristor is a two-terminal device with nonvolatile resistive switching (RS) behaviors.
Recently, memristors have been highly desirable for both fundamental research and …

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

Due to the increasing importance of artificial intelligence (AI), significant recent effort has
been devoted to the development of neuromorphic circuits that seek to emulate the energy …

The family of two-dimensional (2D) materials composed of atomically thin layers connected
via van der Waals interactions has attracted much curiosity due to a variety of intriguing …

Organic memory has attracted tremendous attention for next‐generation electronic elements
for the molecules' striking ease of structural design. However, due to them being hardly …

The importance of statistical analyses on 2D materials-based electronic devices and circuits
is sometimes overlooked. Here the authors discuss the most pressing integration issues for …

Coupling charge impurity scattering effects and charge‐carrier modulation by doping can
offer intriguing opportunities for atomic‐level control of resistive switching (RS) …

Abstract 2D materials with common hexagonal crystal structures, such as graphene,
hexagonal boron nitride, and transition metal dichalcogenides have attracted great interest …