In plain words

Electronics that uses the magnetic direction of an electron – its – as well as its charge. Writing information as a spin direction rather than as a pocket of charge can store it without power and switch it with less energy.

Going deeper

Left: two magnetic tunnel junctions, each two magnetic layers separated by a thin barrier. With both magnetisations parallel the resistance is low; with them antiparallel it is high. Right: a nonlocal spin valve: a graphene strip crossed by an injector and a detector electrode; current flows from the injector to one end, while spins diffuse along the graphene to the detector, which measures a voltage outside the current path. a magnetic tunnel junction parallel low resistance antiparallel high resistance current tunnels through a thin barrier between two magnets, and flows more easily when both point the same way 2D versions: CrI₃ or hBN barriers, Fe₃GeTe₂ electrodes a nonlocal spin valve on graphene I V inject detect graphene spins diffuse, charge does not the detector sits outside the current path, so it sees spin alone
Two basic spintronic structures. A magnetic tunnel junction turns the relative direction of two magnets into a resistance – the principle of magnetic memory. A nonlocal spin valve measures spins that travel through graphene without any charge current reaching the detector.

Using spin as well as charge

Electrons carry spin as well as charge, and in a the conducting electrons are partly spin-polarised. Resistance then depends on how magnetic layers are aligned. Giant in multilayers, discovered in 1988 and recognised with the 2007 Nobel Prize, and tunnelling magnetoresistance across thin insulating barriers turned this into hard-disk read heads and magnetic random-access memory.

Writing uses currents rather than external fields: spin-transfer torque from a spin-polarised current, or spin–orbit torque from a current in an adjacent heavy-metal layer. The stored state is non-volatile, and spintronics aims to process as well as store information with it, using less energy than moving charge alone.

What graphene and other layers add

Graphene is a good spin conductor: carbon is light, so is weak, and the common carbon isotope has no nuclear spin to scramble electron spins. In nonlocal spin valves, which separate the spin signal from the charge current, spin transport over tens of micrometres has been reported at room temperature in clean, devices. Thin hBN layers make good tunnel barriers for injecting spin into it.

Neighbouring layers can lend graphene properties it lacks. Next to WSe2, graphene acquires spin–orbit coupling by proximity; next to a magnetic insulator, it acquires . bring , which protects spin and together, and magnets bring barriers and electrodes that can be stacked with atomically clean interfaces.

All-2D devices and open problems

Tunnel junctions with CrI3 barriers show very large magnetoresistance as its layers flip, and metallic Fe3GeTe2 serves as an electrode whose magnetisation can be switched by spin–orbit torque. Such all- point towards very thin, magnetic devices.

The obstacles are practical. Most van der Waals magnets order only well below room temperature, many degrade in air, and injection depends on interface quality that is hard to reproduce across a . Measurements also need care: local , heating and the magnetoresistance of the contacts can imitate spin signals, so spin precession in a perpendicular magnetic field, the Hanle effect, is the usual confirmation that a signal really comes from spins.

For specialists

Device physics built on injecting, transporting, manipulating and detecting electron spin. Two-dimensional materials contribute long spin lifetimes and gate-tunable transport in graphene, spin–orbit coupling and exchange induced by proximity to an adjacent layer, spin–valley locking in TMDC monolayers, and van der Waals magnets that serve as tunnel barriers and free layers in an all-2D stack.

Where this comes from

  1. Spintronics: fundamentals and applications Žutić et al. · Reviews of Modern Physics 76, 323 (2004) cited by 11,292
  2. Graphene spintronics Han et al. · Nature Nanotechnology 9, 794 (2014) cited by 1,601