Reviews & Analysis

Single-crystalline layered perovskite nanowires, which have a high resistance in their interior but a high photoconductivity at their edges, can be used to create sensitive photodetectors.

Spintronic devices capable of performing complementary logic operations can be created with the help of electric-field-controlled spin–orbit torque switching.

A memristor-based system can solve partial differential equations with better energy efficiency than methods based on conventional computers.

Microwave transitions in the rotational spectrum of carbonyl sulfide molecules provide a timing reference that can be used to develop chip-scale atomic clocks.

This Review Article examines the development of organic neuromorphic devices, considering the different switching mechanisms used in the devices and the challenges the field faces in delivering neuromorphic computing applications.

The electric field in a Schottky barrier can be used to control spin–orbit magnetic fields.

A heterostructure made from various two-dimensional materials can be used to build a device that functions as a diode, transistor, photodetector and non-volatile memory.

Electron tunnelling through a two-dimensional magnetic insulator is assisted by magnon inelastic processes that provide spin-filtering.

This Review Article examines the development of in-memory computing using resistive switching devices.

Topologically protected whirl-like magnetic textures are deterministically created and deleted using current pulses.

An implantable strain and pressure sensor, which is made from biodegradable polymers, could be used to track the healing of tendons and then degrade after its useful lifetime.

On-chip transformers based on a rolled-up membrane platform could help deliver wireless IoT applications.

Enhanced wireless pressure sensors can be created by relaxing parity–time symmetry conditions.

This Review Article assesses the different techniques used to characterize memristive switching in nanoionic devices and proposes a general framework for such devices, based on the relative strengths and weaknesses in each case.

This Perspective highlights the existence of gaps between the computational complexity and energy efficiency required for the continued scaling of deep neural networks and the hardware capacity actually available with current CMOS technology scaling, in situations where edge inference is required; it then discusses various architecture and algorithm innovations that could help to bridge these gaps.

An approach to computing that is fast, low-power and precise can be created by combining an analogue in-memory processor with a conventional digital processor.

A holography computing board that combines eight field-programmable gate arrays offers a scalable approach to generating holograms with a high frame rate.

Direct-current-powered microwave amplifiers that approach the quantum noise limit can be created through the control of emission processes in a superconducting circuit.

The anomalous Hall effect in an antiferromagnet can be switched on and off using an electric field to alter the strain in the material.

Flexible integrated circuits built using carbon nanotube thin-film transistors can offer sub-10 ns stage delays.