Despite technical efforts and upgrades, advances in complementary metal–oxide–
semiconductor circuits have become unsustainable in the face of inherent silicon limits. New …

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 …

By integrating sensing, memory and processing functionalities, biological nervous systems
are energy and area efficient. Emulating such capabilities in artificial systems is, however …

Neuromorphic computing memristors are attractive to construct low-power-consumption
electronic textiles due to the intrinsic interwoven architecture and promising applications in …

Recently, the increasing demand for data-centric applications is driving the elimination of
image sensing, memory and computing unit interface, thus promising for latency-and energy …

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

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 …

Two-dimensional (2D) transition metal dichalcogenide (TMD) heterostructures have
attracted a lot of attention due to their rich material diversity and stack geometry, precise …

The co-integration of logic switches and neuromorphic functions could be used to create
new computing architectures with low power consumption and novel functionalities. Two …