Nanoscale devices articles from across Nature Portfolio

Nanofluidic memristors that rely on mechanical deformations to modulate ionic conductance can be coupled to form logic circuits, opening a route to ionic machinery that could implement neural networks.

How can light be efficiently manipulated below the single-pixel level? An answer is now provided using near-field interactions for nanopillars in a metasurface — phase gradients in the gaps between the nanopillars constitute a new degree of freedom that enables efficient wavefront control at the nanoscale.

Filamentary RRAM technologies suffer from variations and noise, leading to computational accuracy loss, and increased energy consumption. Park et al. created a trilayer metal-oxide bulk switching RRAM technology without filament formation and showed edge computing for an autonomous navigation task.

Ising machines are promising for solving NP-hard problems, but current implementations have power consumption and scalability challenges. Si et al. implement an Ising machine consisting of 80 superparamagnetic tunnel junctions with all-to-all connections and apply it to a large-scale travelling salesman problem.

The authors experimentally study a chain of superconducting islands (SI) and quantum dots (QD), where a Bogoliubov quasiparticle occupies each SI. They demonstrate correlations between the quasiparticles in each SI mediated by a single spin on the QD, known as an “over-screened" doublet state of the QD.

A method for integrating polycrystalline molybdenum disulfide using processes in a 200 mm fab facility can create transistors with high robustness and performance comparable with single-crystalline devices.

The full potential of photoelectric devices can possibly be maximized through pyroelectricity for power generation beyond thermodynamic limit. Here, authors report photovoltaic heterostructure device with pyroelectric absorber, achieving 2.5 times more output power due to long-range electric field.

This Review summarizes latest advancements in memristor-based hardware accelerators, an energy-efficient solution for computing-intensive artificial intelligence algorithms, covering crossbar arrays, peripheral circuits, architectures and software–hardware co-designs. It analyses challenges and pathways for the transition of memristor technology to commercial products.

Nanofluidic memristors that rely on mechanical deformations to modulate ionic conductance can be coupled to form logic circuits, opening a route to ionic machinery that could implement neural networks.

How can light be efficiently manipulated below the single-pixel level? An answer is now provided using near-field interactions for nanopillars in a metasurface — phase gradients in the gaps between the nanopillars constitute a new degree of freedom that enables efficient wavefront control at the nanoscale.

Beyond applications in information technology, medicine, energy storage and environmental technologies, nanotechnology could also find uses in large-scale sciences such as the aerospace industry. Here, we showcase the applications of carbon nanotubes as electron field emitters for neutralizers in satellites, discussing both the fabrication processes and technical prospects.

Wafer-to-wafer hybrid bonding is an attractive 3D integration technology for stacking multiple heterogeneous chips with high 3D interconnect density. We highlight recent design and technology innovations that enable hybrid Cu, SiCN-to-Cu and SiCN bonding with interconnect pitches down to an unprecedented 400 nm.

An approach to dynamically control the photoresponsivity of pixels in a computational sensor based on local image gradients enables the precise and robust detection of edge features of targets in dim light conditions from a single image capture.

A robust initialization protocol has been demonstrated for a four-qubit nuclear spin register in silicon. The protocol, driven electrically through electric-dipole spin resonance, enables high-fidelity qubit control and hence a route to a register-based quantum computer that exploits the exceptional coherence properties of atom qubits in silicon.