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An ultrathin haptic interface can selectively activate different cutaneous receptors in the skin, providing rich haptic sensation information in virtual reality.
The integration of high-performance n-type and p-type two-dimensional transistors — which can be fabricated on 300 mm wafers using a die-by-die transfer process — is an important step in the lab-to-fab transition of two-dimensional semiconductors.
A 3D stackable computing-in-memory array that is based on resistive random-access memory could accelerate the implementation of machine learning algorithms.
The monolithic integration of photonic and electronic technology can be used to create miniaturized implantable microsystems capable of high-resolution optical neural control and electrical recording in deep brain regions.
An effective gate voltage doping method can be used to create single-gate molybdenum ditelluride field-effect transistors that can be reconfigured between rectification, memory, logic and neuromorphic functions.
Dual-gate heterojunction transistors that are based on monolayer molybdenum disulfide and carbon nanotubes can provide tunable Gaussian and sigmoid functions for support vector machine computing.
Event-driven, in-sensor computing can be performed by individual vision sensors composed of two parallelly connected photodiodes, enabling vision recognition of dynamic motion.
Ring oscillator circuits that operate at gigahertz frequencies and are based on monolayer molybdenum disulfide can be created with the help of a design–technology co-optimization approach.
An adhesive bioelectronic patch that can conform to irregular curvilinear surfaces can be used in vivo to stimulate the heart and record electrocardiograms of freely moving rats.
A network of coupled electronic oscillators can be engineered to find ground states of Ising Hamiltonians and solve various combinatorial optimization problems.
By monolithically integrating organic light-emitting diodes (OLEDs) with complementary metal–oxide–semiconductor (CMOS) technology, implantable optogenetic probes can be created to selectively address individual neurons.
An autonomous wearable device that is capable of monitoring sweat for extended periods of time could help collect data for the development of personalized medicine.
A skin-conformable system that is worn on the finger, and integrates optical sensors with memristors, can accurately classify finger-written inputs in three-dimensional space.
Carbon nanotube transistors with high performance and integration density can be created using a full-contact structure to scale the nanotube–electrode contact length.
Physically unclonable functions that are based on magnetic random-access memory, and integrated with complementary metal–oxide–semiconductor circuitry, can be used to create secure and efficient compute-in-memory macros for edge computing.
A technique based on a scanning tunnelling microscope can provide simultaneous control, visualization and spectroscopic characterization of quantum states with atomic resolution.
