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A simple descriptor called degree-of-isolation is proposed to describe the microenvironment and determine the effectiveness of active sites in single-site alloys. For a single-site alloy with a high degree-of-isolation, alternation of the active centre strongly affects the selectivity.
The authors use a DNA-framework-based molecular classifier to perform biomarker panel screening and analyse six biomarkers across three-dimensional datatypes to obtain a molecular taxonomy for prostate cancer diagnosis.
In multilayer WSe2, dipolar excitons with Coulomb-bound electron and hole pairs located in every other layer show unique valleytronic superlattice structure and electrical tunability.
Superconducting single-photon detectors are critical for quantum communication, fluorescence lifetime imaging and remote sensing, but commonly operate at very low temperatures. Now, high-temperature cuprate superconducting nanowires enable single-photon detection up to 25 K.
Differential phase contrast scanning transmission electron microscopy probes the electric field distribution across a GaN-based semiconductor heterointerface.
A semirigid stamp and a standard photolithography mask-aligner enable a reliable and scalable pickup and release process for van der Waals materials integration at the wafer scale.
Multiple alternating layers of two-dimensional materials and epilayers are grown on III–N and III–V substrates in a single growth run. Then, each epilayer is harvested by mechanical exfoliation, producing multiple freestanding membranes from a single wafer.
By integrating split ferroelectric capacitors with complementary characteristics in the same memory cell, this architecture tackles the problem of conflicting memory requirements for training and inference, which has long plagued edge intelligence applications.
A flash memory device fabricated with atomically sharp van der Waals heterostructures shows a programming speed of 20–30 ns and power consumption in the nanowatt region.
Mechanically rigid and geometrically stable nano-scaffolds decrease intermembrane spacing at the immunological synapse, leading to the exclusion of tyrosine phosphatase CD45 protein and enhancement of T-cell signalling.
The authors developed a highly conductive and dielectric composite solid-state electrolyte by coupling BaTiO3 and Li0.33La0.56TiO3–x nanowires with a side-by-side heterojunction structure in a polyvinylidene difluoride matrix, which simultaneously promotes the dissociation of lithium salts to produce more movable Li ions and efficiently transports the generated movable Li ions.
Strong intrinsic spin–orbit interaction unlocks the potential of circuit quantum electrodynamics with hole spins in silicon, resulting in strong spin–photon coupling of 300 MHz.
Thickness-dependent photoluminescence quantum yield measurements in black phosphorus reveal a free-carrier to excitonic transition, differing from the behaviour of conventional semiconductors.
Electrostatically defined quantum dots in graphene constitute a testbed to study atomic and molecular physics in the ultrarelativistic regime—when the particle speed is close to the speed of light. Magnetic-field-dependent tunnelling spectroscopy experiments now reveal giant orbital magnetic moments and paramagnetic shifts in single and double quantum dots due to their relativistic nature.
A large-scale pharmacophore model supported by in vitro ligand-binding studies suggests polylactic acid oligomer toxicity in a mouse model is due to the inhibition of matrix metallopeptidase 12.
RNA nanostructures can be designed to fold during transcription, but the solution structure has remained elusive. Here the authors use cryogenic electron microscopy to determine the structure of a panel of RNA origami shapes and uncover the design and folding principles.
An ultralong-range coupling was demonstrated between photonic lattices in bilayer and multilayer moiré architectures, which is mediated by dark surface lattice resonances in the vertical direction.
Using genetically tailored protein-based nanoprobes and taking advantage of image-segmentation-based machine learning, a high-throughput assessment of vascular permeability of individual blood vessels in 32 different tumours is quantified. These insights are valuable in developing personalized anticancer nanomedicine therapeutics and strategies modulating vascular permeability to treat tumours.