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

Abstract 2D materials are attractive for nanoelectronics due to their ultimate thickness
dimension and unique physical properties. A wide variety of emerging spintronic device …

Magnetism is one of the largest, most fundamental, and technologically most relevant fields
of condensed-matter physics. Traditionally, two basic magnetic phases have been …

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 intelligence (AI) has been developing rapidly in recent years in terms of software
algorithms, hardware implementation, and applications in a vast number of areas. In this …

Within a decade, the field of magnetic skyrmionics has developed from a niche prediction to
a huge and active research field. Not only do magnetic skyrmions—magnetic whirls with a …

Interfacial Dzyaloshinskii-Moriya Interactions 2. Spin and Magnetism in 2D Materials 3.
Curvilinear magnetism 4. Spin-orbit torques and emergent applications 5. All-optical …

Neurons in the brain behave as nonlinear oscillators, which develop rhythmic activity and
interact to process information. Taking inspiration from this behaviour to realize high-density …

In recent years, artificial neural networks have become the flagship algorithm of artificial
intelligence. In these systems, neuron activation functions are static, and computing is …

Sensory feedback from touch is critical for many tasks carried out by robots and humans,
such as grasping objects or identifying materials. Electronic skin (e-skin) is a crucial …