Ion migration as well as electron transfer and coupling in resistive switching materials
endow memristors with a physically tunable conductance to resemble synapses, neurons …

Artificial neuronal devices are critical building blocks of neuromorphic computing systems
and currently the subject of intense research motivated by application needs from new …

Many correlated systems feature an insulator-to-metal transition that can be triggered by an
electric field. Although it is known that metallization takes place through filament formation …

The reversible phase transition in vanadium dioxide (VO 2) with light, heat, electric,
magnetic, and mechanical stimuli is the enabling concept to function as a smart material. It is …

Neuromorphic computing approaches become increasingly important as we address future
needs for efficiently processing massive amounts of data. The unique attributes of quantum …

Vanadium dioxide (VO2), which exhibits a near-room-temperature insulator–metal transition,
has great potential in applications of neuromorphic computing devices. Although its volatile …

Traditional methods to recover vanadium from vanadium slag by oxidizing V (III) in slag to V
(V) at above 800° C, result in discharge of significant amount of residue containing Cr, Ti, Fe …

Mott insulator material, as a kind of strongly correlated electronic system with the
characteristic of a drastic change in electrical conductivity, shows excellent application …

Electrical triggering of a metal–insulator transition (MIT) often results in the formation of
characteristic spatial patterns such as a metallic filament percolating through an insulating …

The reversible and multi-stimuli responsive insulator-metal transition of VO2, which enables
dynamic modulation over the terahertz (THz) regime, has attracted plenty of attention for its …