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A spoof surface plasmonic neural network with programmable weights and activation functions was proposed, which has the potential to achieve processing speeds close to the speed of light. This neural network was used to create a wireless communications system that can detect and process electromagnetic waves.
An elastic conductive ink — which is made of conductive fillers suspended in an emulsified elastomer matrix — can be used to print three-dimensional elastic conductors.
By selectively engineering the surface roughness of micro-light-emitting-diode chips, and thus the strength of the van der Waals forces that bond them to a substrate, large-area displays can be created via a fluidic-assisted transfer method.
This Review examines the development of cryogenic memory technologies—including non-superconducting memories, superconducting memories and hybrid memories—and their potential application in superconducting single-flux quantum circuits and quantum computers.
Multilayer hexagonal boron nitride can be synthesized over large areas and used to enhance mobility in graphene heterostructures, illustrating the potential of the material as an insulator in commercial two-dimensional electronics.
Conventional dielectric layers used in stretchable electronics are solution-processed, thick and have poor electrical performance compared with rigid, inorganic dielectrics. A stretchable nanometre-thick gate dielectric layer has been produced using large-area vacuum deposition. This material has excellent electrical, mechanical and chemical properties and could facilitate the development of high-performance wearable devices.
This Perspective explores the use of flexible electronics in the development of brain–computer interfaces, considering their potential impact on neuroscience, neuroprosthetic control, bioelectronic medicine, and brain and machine intelligence integration.
A skin-like sensory system, consisting of a substrate-less nanomesh strain sensor and an unsupervised meta-learning framework, enables the rapid recognition of various hand movements with minimal training and can work for any user. The device is able to complete various tasks, including virtual keyboard typing and object recognition.