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Kornfeld-Sylla et al reveal how alpha brainwaves are altered in children and adults with Fragile X Syndrome (FXS) and find parallel changes in alpha-like rhythms in juvenile and adult FXS model mice, showing their use for testing potential therapies.

A photochemical regeneration strategy achieves repeated capture and release of diverse precious metals by integrating a phenol–quinone redox cycle into a nanocarbon aerogel scaffold, offering a practical and sustainable pathway for metal recovery.

A modular, point-of-care device combining hemispheric plasmonic nanoarrays and automated microfluidics enables nucleic acid amplification and metabolic cell viability assay for rapid bacterial identification and antibiotic susceptibility testing.

The development of advanced electrocatalysts with high efficiency and longevity is essential to alleviate the energy crisis. Here, the authors report an atomic editing strategy to access atomically dispersed, heteronuclear triatomic Fe and Co sites to endow improved activity and stability.

Instabilities in chiral plasmas can amplify electromagnetic waves, raising the question of whether chiral solids behave similarly. Now a magneto-chiral instability is demonstrated in tellurium, observed as growing terahertz emission after photoexcitation.

Understanding the accumulation of photogenerated charges in photovoltaics is crucial to developing more efficient structures. Kim et al.use impedence spectroscopy to observe charge accumulation in thin lead halide perovskite solar cells, finding a high density of states that differs from other types of cells.

The authors demonstrate real-time blind photonic interference cancellation using FPGA-photonic coordinated processing with zero calibration micro-ring resonator control and sub-second cancellation weight identification.

Electrically conductive hydrogels based on conducting polymers often rely on covalent and therefore irreversible crosslinking mechanisms. Here, the authors report a thermo-responsive conducting polymer that undergoes a fully reversible non-covalent crosslinking at 35 °C within less than a minute to form conductive hydrogels.

Jean Rintoul and colleagues introduce in vivo acoustoelectric neural recording, using focused ultrasound to recover electrophysiological signals in the rodent brain. This work enables a non-invasive, artefact-robust path toward portable, focal neural recording.

Single-layer graphene, owing to its impermeability, is a promising candidate to prevent transmembrane ion transport. Here, the authors report a covalent functionalization method that enables centimeter-sized graphene to function as a proton exchange membrane in a direct methanol fuel cell.

The Connectome 2.0 MRI scanner reconstructs the fine fibres in the human brain and determines cellular and axonal size at an ultra-high resolution.

Thermoelectric devices convert waste heat to electrical power but suffer from low efficiency. Roche et al.create a mesoscopic heat engine comprising capacitively coupled hot and cold electrical circuits in which thermal fluctuations in the former are converted to potential fluctuations in the latter

Electron transfer in molecular wires is typically dominated by tunnelling at short lengths. Now it is shown that conjugated molecular wires anchored to indium tin oxide electrodes exhibit a hopping mechanism even at 1-nm lengths, enabling charge extraction in tin perovskite solar cells and improved device performance.

Active galactic nuclei are surrounded by a dusty and molecular disk that fuels supermassive black holes and connects them to their host galaxies. Here, the authors show with JWST interferometric observations that most of the dust in the Circinus galaxies lies in a compact disk, while only a tiny fraction traces hot outflowing material.

By analysing atomic-scale Pb–Pb Josephson junctions including magnetic atoms in a scanning tunnelling microscope, a new mechanism for diode behaviour is demonstrated, opening up new paths to tune their properties by means of single-atom manipulation.

Photopolymerizable hydrogels enable optical clearance and high homogeneous expansion for high-resolution optical imaging of cells embedded within degradable hydrogels.

The study analyses data from NASA’s MMS mission to examine electromagnetic fluctuations in the electron diffusion region of Earth’s magnetotail offering insights into the link between reconnection and turbulence. It finds that electromagnetic anomalous viscosity supplies, at times, around 20% of the reconnection electric field.

ORDINARY electric conductors are sources of spontaneous fluctuations of voltage which can be measured with sufficiently sensitive instruments. This property of conductors appears to be the result of thermal agitation of the electric charges in the material of the conductor.

A method using semi-stable edge of chaos in LaCoO₃ enables continuous signal amplification in metallic conductors without separate amplifiers, potentially revolutionizing electronic chip design.

Hydrogen evolution technologies for a future carbon-free energy economy require efficient catalysts which can be implemented on a large scale. Here, the authors prepare a composite electrode from readily available elements, whereby a metal-organic framework boosts catalytic performance by enabling rapid proton transport.

State-of-the-art approaches for modelling electrified solid–electrolyte interfaces are critically discussed, highlighting key challenges in incorporating thermodynamic open-boundary conditions, large electrostatic potentials and their dynamic fluctuations into realistic ab initio simulations.

Thermal agitation of charge carriers, known as Johnson noise, is the dominant noise in electronic circuits. Now it has also been observed as a key noise source in integrated electro-optic photonic circuits, posing challenges for future applications.

3D Flexible Refinement (3DFlex) is a generative neural network model for continuous molecular heterogeneity for cryo-EM data that can be used to determine the structure and motion of flexible biomolecules. It enables visualization of nonrigid motion and improves 3D structure resolution by aggregating information from particle images spanning the conformational landscape of the target molecule.

There is on-going research into efficient noble metal-free materials for electrocatalytic hydrogen evolution. Here, the authors prepare ternary molybdenum sulfoselenide particles supported on three-dimensional porous nickel selenide foam, and demonstrate the high efficiency of the hydrogen evolving composite.

A predictive descriptor to guide spinel catalyst design for Li–S batteries is still lacking. Here, authors use a series of metal chromites to investigate the effect of t2 orbital occupancy on the polysulfide conversion activity of spinel oxides, and reveal a volcano-shaped relationship between them.

This Primer provides an introduction to quantum imaging with correlated photon pairs, from core concepts to experimental realizations. It discusses potential advantages over classical imaging, practical design issues, and the emerging applications and challenges that will shape future progress of the field.

In a quantum computer, the data carriers (or qubits) must be well isolated from their environment to avoid information leakage. At the same time they have to interact with one another to process information. A proposed platform based on spin qubits connected through arrays of nanoelectromechanical resonators should be able to reconcile these conflicting requirements.

Green hydrogen production via water electrolysis requires a low-cost solution to provide efficient catalysts. Here, the authors report an industrially scalable method for synthesizing NiFe layered double hydroxide at room temperature and atmospheric pressure, enhancing alkaline electrolysis.

Understanding the properties of water-splitting assemblies in dye-sensitized photoelectrochemical cells is a key challenge in artificial photosynthesis. Here, the authors report the importance of anchoring groups on a water oxidation catalyst in determining active species on metal oxide surfaces.

Ultrafast diffraction is fundamental in capturing the structural dynamics of molecules. Here, the authors establish a variant of quantum state tomography for arbitrary degrees of freedom to characterize the molecular quantum states, which will enable the reconstruction of a quantum molecular movie from diffraction data.

Control engineering techniques are promising for realizing stable quantum systems to counter their extreme fragility. Here the authors use techniques from machine learning to enable real-time feedback suppression of decoherence in a trapped ion qubit by predicting its future stochastic evolution.

In order to study the dynamics of solitons in microresonators, which underlie nonlinear phenomena like Kerr comb generation, both high temporal resolution and long record times are needed. Here, the authors develop a coherent sampling method to directly image the temporal behavior of solitons.

2D biochemical sensors hold potential for monitoring toxic contaminants in water, but they are usually affected by device-to-device variations. Here, the authors propose a scalable fabrication process and quality control procedure to realize graphene field-effect transistor arrays able to simultaneously detect trace amounts of heavy metal ions and bacteria in flowing water.

The origin of geomagnetic substorms is still uncertain due to lack of comprehensive quantitative analyses. Here, the authors construct an observational dispersion relation of auroral forms that correspond to the explosive energy release from substorm onset.

Continuous spectral translation could allow expansion of the bandwidth available for communication without having to develop transceivers for the new bands. Here, the authors demonstrate this using AlGaAsOI nanowaveguides as spectral translators between the mature telecom C band and the 2-μm wavelength band.

Two very-high-frequency quasi-periodic oscillations (at 2,132 Hz and 4,250 Hz) are detected within the initial hard spike of a magnetar giant flare originating from the galaxy NGC 253, and detailed temporal and spectral analyses are performed.

Microglia are proposed to have a role in brain development through synaptic engulfment and paracrine signaling. O’Keeffe et al. show that certain neurodevelopmental processes attributed to microglia can proceed normally even in the absence of these cells.

High-temperature proton exchange membrane fuel cells offer efficient solutions to complex fuel cell challenges, including fuel flexibility and heat management. Here the authors demonstrate that laser-scribed membranes improve fuel cell durability and boost peak power density by over 50%, providing a more stable and scalable approach for high performance fuel cells.

Complex-valued neural networks can recognize phase-sensitive data in wave-related phenomena. Here, authors report a complex-valued optical convolution accelerator operating at over 2 TOPS for recognition of radar images, represents advances towards real-time analysis of complex satellite data.

A ‘hybrid’ open-top light-sheet microscope is described, which can be used for broad multi-scale volumetric imaging of one or more large tissues, cleared with diverse protocols, and conveniently mounted on an array of sample holders.

Kerr frequency combs are well suited for high-capacity data transmission with phase-sensitive modulation formats. This work demonstrates error-free transmission with data rates of up to 1.44 Tbit s⁻¹, spectral efficiencies of up to 6 bit s⁻¹ Hz⁻¹ and transmission distances of up to 300 km.

Nonlocal noise thermometry enables experimental probing of energy transport in emergent states of matter and devices in low dimensions.