A grand family of two-dimensional (2D) materials and their heterostructures have been
discovered through the extensive experimental and theoretical efforts of chemists, material …

Ferroelectric materials, the charge equivalent of magnets, have been the subject of
continued research interest since their discovery more than 100 years ago. The …

Neuromorphic computing based on emerging devices could overcome the von Neumann
bottleneck—the restriction created by having to transfer data between memory and …

With the advent of the Internet of Things era, the detection and recognition of moving objects
is becoming increasingly important. The current motion detection and recognition (MDR) …

In neuromorphic hardware, peripheral circuits and memories based on heterogeneous
devices are generally physically separated. Thus, exploration of homogeneous devices for …

Memory transistors based on two-dimensional (2D) ferroelectric semiconductors are
intriguing for next-generation in-memory computing. To date, several 2D ferroelectric …

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

The shrinking of transistors has hit a wall of material degradation and the specialized
electronic applications for complex scenarios have raised challenges in heterostructures …

Since the discovery of Rochelle salt a century ago, ferroelectric materials have been
investigated extensively due to their robust responses to electric, mechanical, thermal …

Presently Si-based field-effect transistors (FETs) are approaching their physical limit, and
further scaling their gate length down to the sub-10 nm region is becoming extremely …