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Electrophysical processes are used to create third-order nanoscale circuit elements, and these are used to realize a transistorless network that can perform Boolean operations and find solutions to a computationally hard graph-partitioning problem.
Plasmonic effects in organic light-emitting devices, which are normally considered a source of energy loss, are harnessed to enhance the stability of these devices while maintaining operational efficiency.
A fundamental superconducting qubit is introduced: ‘blochnium’ is dual to the transmon, relies on a circuit element called hyperinductance, and its fundamental physical variable is the quasicharge of the Josephson junction.
A new class of voltage-controllable electrochemical actuators that are compatible with silicon processing are used to produce over one million sub-hundred-micrometre walking robots on a single four-inch wafer.
Twisted double bilayer graphene devices show tunable spin-polarized correlated states that are sensitive to electric and magnetic fields, providing further insights into correlated states in two-dimensional moiré materials.
Tuning the electronic interactions by changing the dielectric environment of twisted bilayer graphene reveals the disappearance of the insulating states and their replacement by superconducting phases, suggesting a competition between the two phases.
Thin films of amorphous boron nitride are mechanically and electrically robust, prevent diffusion of metal atoms into semiconductors and have ultralow dielectric constants that exceed current recommendations for high-performance electronics.
An imaging method combining soft-landing electrospray ion beam deposition and low-temperature scanning tunnelling microscopy resolves the structures of glycans at sub-nanometre resolution, revealing the connectivity of glycan chains and the types of linkages.
Local electronic compressibility measurements of magic-angle twisted bilayer graphene show that the insulating and superconducting phases of this system are both derived from a high-energy symmetry-broken state.
Large-area single-crystal high-index copper and nickel foils with several types of facet are fabricated using mild pre-oxidation of the metal foil surface followed by annealing in a reducing atmosphere.
A biomimetic electrochemical eye is presented that has a hemispherical retina made from a high-density array of perovskite nanowires that are sensitive to light, mimicking the photoreceptors of a biological retina.
SQUID-on-tip tomographic imaging of Landau levels in magic-angle graphene provides nanoscale maps of local twist-angle disorder and shows that its properties are fundamentally different from common types of disorder.
Small-angle twisted bilayer–bilayer graphene is tunable by the twist angle and electric and magnetic fields, and can be used to gain further insights into correlated states in two-dimensional superlattices.
Room-temperature electrical switching of a topological antiferromagnetic state in polycrystalline Mn3Sn thin films is demonstrated using the same protocol as that used for conventional ferromagnetic metals.
Optical spectroscopy is used to probe correlated electronic states in a moiré heterostructure, showing many-body effects such as strong layer paramagnetism and an incompressible Mott-like state of electrons.
An on-chip, all-electronic device based on the formation of a nanoplasma provides ultrafast electron transfer, enabling picosecond switching of electric signals and the generation of high-power terahertz pulses.
Coherent quantum control of a single 123Sb nucleus using electric fields produced within a silicon nanoelectronic device is demonstrated experimentally, validating a concept predicted theoretically in 1961.
The existence of the Kondo cloud is revealed by the spatially resolved characterization of the oscillations of the Kondo temperature in a Fabry–Pérot interferometer and its extent is shown to be several micrometres.
A topological Chern insulating state is reported to emerge from strong correlations in flat moiré bands in a graphene superlattice and by applying a vertical electric field the Chern number is switched.
A two-dimensional semiconductor photodiode array senses and processes optical images simultaneously without latency, and is trained to classify and encode images with high throughput, acting as an artificial neural network.
Optical chiral induction and spontaneous gyrotropic electronic order are realized in the transition-metal chalcogenide 1T-TiSe2 by using illumination with mid-infrared circularly polarized light and simultaneous cooling below the critical temperature.
High-pressure diamond anvil cell experiments reveal that compression strengthening of nanocrystalline nickel increases as its grain sizes decrease to 3 nanometres, owing to dislocation hardening and suppression of grain boundary plasticity.
A universal mechanical exfoliation method of creating freestanding membranes of complex-oxide materials with different crystal structures and orientations and stacking them to produce a range of artificial heterostructures with hybridized physical properties is described.
A fully hardware-based memristor convolutional neural network using a hybrid training method achieves an energy efficiency more than two orders of magnitude greater than that of graphics-processing units.
A synthetic approach is described, for efficiently converting non-van der Waals solids into two-dimensional van der Waals transition-metal chalcogenide layers with specific phases, enabling the high-throughput production of monolayers.
Microwave-mediated coupling of electron spins separated by more than 4 mm is demonstrated, suggesting the possibility of using photons at microwave frequencies to create long-range two-qubit gates between distant spins.
The emergence of a liquid-like electronic flow from ballistic flow in graphene is imaged, and an almost-ideal viscous hydrodynamic fluid of electrons exhibiting a parabolic Poiseuille flow profile is observed.
The authors review the advantages and future prospects of neuromorphic computing, a multidisciplinary engineering concept for energy-efficient artificial intelligence with brain-inspired functionality.
A method of engineering efficient and stable InP/ZnSe/ZnS quantum dot light-emitting diodes (QD-LEDs) has improved their performance to the level of state-of-the-art cadmium-containing QD-LEDs, removing the problem of the toxicity of cadmium in large-panel displays.