Non-volatile magnetic random-access memories (MRAMs), such as spin-transfer torque
MRAM and next-generation spin–orbit torque MRAM, are emerging as key to enabling low …

Antiferromagnets have attracted extensive interest as a material platform in spintronics. So
far, antiferromagnet-enabled spin–orbitronics, spin-transfer electronics and spin caloritronics …

Abstract Two-dimensional (2D) ferromagnetic materials with unique magnetic properties
have great potential for next-generation spintronic devices with high flexibility, easy …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

Spin–orbit torque (SOT) is an emerging technology that enables the efficient manipulation of
spintronic devices. The initial processes of interest in SOTs involved electric fields, spin …

Neuromorphic computing uses brain-inspired principles to design circuits that can perform
computational tasks with superior power efficiency to conventional computers. Approaches …

The rapid increase in information in the big-data era calls for changes to information-
processing paradigms, which, in turn, demand new circuit-building blocks to overcome the …

The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Artificial synapses can boost neuromorphic computing to overcome the inherent limitations
of von Neumann architecture. As a promising memristor candidate, ferroelectric tunnel …

Spintronic devices exploit the spin, as well as the charge, of electrons and could bring new
capabilities to the microelectronics industry. However, in order for spintronic devices to meet …