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Gate dielectrics with an equivalent oxide thickness of only one nanometre can be grown on two-dimensional semiconductors with the help of a monolayer molecular crystal.
With the help of extreme-ultraviolet lithography and high-mobility-channel fin field-effect transistors, the Taiwan Semiconductor Manufacturing Company deliver their latest CMOS platform for use in mobile and high-performance computing applications.
A slanted tri-gate geometry improves electric field management in multi-channel AlGaN/GaN power transistors leading to higher breakdown voltage and lower on-resistance.
Silicon circuits with increased functionality and device density can be created by directly integrating amorphous oxide semiconductor devices on top of them.
Neural networks could learn new concepts quickly and from only a few examples by using a ferroelectric ternary content-addressable memory as an augmented memory.
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.
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.
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.
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.