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 spin ices consist of nanomagnets arranged on the sites of various periodic and
aperiodic lattices. They have enabled the experimental investigation of a variety of …

Strongly interacting artificial spin systems are moving beyond mimicking naturally occurring
materials to emerge as versatile functional platforms, from reconfigurable magnonics to …

Bioinspired hardware holds the promise of low-energy, intelligent, and highly adaptable
computing systems. Applications span from automatic classification for big data …

Since it was first demonstrated in 1987, magnetic force microscopy (MFM) has become a
truly widespread and commonly used characterization technique that has been applied to a …

Frustration in magnetic materials arising from competing exchange interactions can prevent
the system from adopting long-range magnetic order and can instead lead to a diverse …

Neuromorphic computing has been attracting ever‐increasing attention due to superior
energy efficiency, with great promise to promote the next wave of artificial general …

Artificial spin ice (ASI) consisting patterned array of nano-magnets with frustrated dipolar
interactions offers an excellent platform to study frustrated physics using direct imaging …

Conductive structures determine the functions and actuation modes of electrically
responsive soft actuators. The rewritability of conductive structures is highly desirable but …

Traditional electronics employs charge currents to control and transmit information and
therefore suffer from energy dissipation due to electron scattering. In the past decade, spin …