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A neuromorphic computational model based on multigate silicon nanowire transistors can perform dendritic computation by integrating synaptic organization with dendritic tree-like morphology and can be used to develop a multilayer network system that emulates three-dimensional spatial motion perception in the retina.
Stabilization of the cubic phase of formamidinium lead triiodide perovskite, together with passivation of undercoordinated lead atoms, can be used to create high-mobility n-type thin-film transistors, which could be combined with existing p-type devices to build complementary circuits.
Next-generation optoelectronic devices — including quantum dot and perovskite light-emitting diodes — could be used to build stretchable and multifunctional displays.
A yttrium-doped metallic two-dimensional buffer layer can be used to improve charge carrier transport between the metal contacts and semiconductor channel in molybdenum-disulfide-based transistors.
With the help of an orbital spinning technique, substrate-free open networks of imperceptible fibres can be created on a range of biological surfaces, providing on-skin sensors that can record electrocardiogram signals, skin-gated organic electrochemical transistors, and augmented touch and plant interfaces.
Photoresponsive perovskite light-emitting diodes can be used to build multifunctional displays that can function as touch screens, light sensors and image sensors.
Non-volatile memory devices capable of recording and reading information at temperatures up to 600 °C can be built using aluminium scandium nitride ferroelectric diodes.
This Review examines the development of van der Waals opto-spintronic devices, highlighting the importance of light–matter interactions in van der Waals magnetic materials and the control of their magnetization via external stimuli, as well as exploring potential opto-spintronic device architectures and applications.
The use of additives in the fabrication of solution-processed n-type perovskite transistors alleviates lattice strain and suppresses undercoordinated lead, boosting the charge transport properties of the devices and making them suitable for use in complementary circuit applications.
Tunable and stable memristors based on single-crystalline entropy-stabilized oxide films grown on epitaxial bottom electrodes can be used to create energy-efficient reservoir computing networks.
A methodology — called auto tiny classifiers — is proposed to directly generate predictor circuits for the classification of tabular data, searching over the space of combinational logic using an evolutionary algorithm to maximize training prediction accuracy. Prediction performance is comparable to typical machine learning methods, but substantially fewer hardware resources and power are required.
An ingestible electronic device can record biopotential electrical signals from the gastric environment—including the gastric slow wave, respiration signal and heart signal—and can monitor slow wave activity in freely moving and feeding animals.
The quantum anomalous Hall effect holds promise for quantum resistance metrology, but has been limited to low operating currents. A measurement scheme that increases the effect’s operational current is now demonstrated — a scheme that could also be used more generally to improve the performance of existing primary quantum standards of resistance based on the conventional quantum Hall effect.
Robust conductive hydrogels made purely from a conducting polymer can be fabricated using a laser-induced phase separation method that also improves adhesion to a polymer substrate and allows high-resolution selective patterning.
As the scale and application of artificial intelligence technologies continues to grow, addressing challenges related to the wider accessibility of the underlying technology becomes increasingly important.
A non-volatile memory device that is based on an aluminium scandium nitride (Al0.68Sc0.32N) ferroelectric diode can operate at temperatures of up to 600 °C.