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Arrays of carbon nanotubes can be used to build radio-frequency transistors with a higher operating frequency and better linearity than silicon technology.
Reservoir computing implemented in memristive hardware can process temporal data with greater energy efficiency than reservoir computers based on CMOS.
This Review Article examines the development of epitaxial growth and layer transfer techniques for monolithic integration of dissimilar single-crystalline materials for application in advanced electronic and photonic devices.
By integrating memristor arrays with CMOS circuitry, a computing-in-memory architecture can be created that could provide efficient deep neural network processors.
A large non-adiabatic spin-transfer torque in an antiferromagnetically coupled ferrimagnet can provide fast and efficient control of spin textures — and challenges current understanding of such effects.
This Perspective explores the development of solution-processable van der Waals thin films, examining their potential for application in large-area wearable electronics and the challenges that exist in delivering practical devices.
A wearable wireless sensor network for personalized healthcare can be created through the indirect integration of soft on-skin sensors and rigid in-clothes circuits.
In vivo sensors can be interrogated using a wireless system locked to an exceptional point, providing a sensitivity beyond the capabilities of standard wireless readout schemes.
This Perspective examines key ethical challenges of ingestible electronic sensors, which are related to patients, physicians, and society more generally, and provides a comparative analysis of legal regulation of the sensors in the US and Europe.
An integrated co-processor chip based on a memristor crossbar array and complementary metal–oxide–semiconductor (CMOS) control circuitry can be used to implement neuromorphic and machine learning algorithms.
This Review Article examines the development of two-dimensional spintronics for low-power electronics, exploring potential devices and circuits, as well the challenges that exist in delivering practical applications.
With the help of algorithms for target tracking and removal of random body-movement noise, a radio-frequency sensor can track multiple people and monitor their individual vital signs in a real-world setting.