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Skyrmions and anti-skyrmions are magnetic textures that have garnered much interest due to their stability. Here, Jena et al demonstrate the existence of fractional spin textures at the edges of Heusler alloy sample, which can have continuous variable topological charges.

There is increasing effort to improve the signal sensitivity and explore the hyperpolarization dynamics. Here the authors demonstrate the parahydrogen spin transfer dynamics in compounds containing ¹⁵N using SABRE hyperpolarization technique with different strengths of the magnetic field.

Machine learning tools allow to extract dynamical systems from data, however this problem remains challenging for networks and systems of interacting agents. The authors introduce an approach to learn a predictive model for the dynamics of coupled agents in the form of partial differential equations using emergent spatial embeddings.

The authors present characterisations of highly-structured visual receptive fields of any phase symmetry, implemented in an event-based spiking neuromorphic processor. They specifically demonstrate emerging properties of recurrent inhibitory circuits that reduce the drain of hardware resources.

The study develops a machine learning approach for predicting bone regeneration in an additively manufactured bioceramic scaffold, which is correlated with an in vivo sheep model, exhibiting effectiveness for solving such a multiscale modeling problem.

An agent-based model suggests that bacteria use direct-contact systems for inhibiting competitors when the attacking strain is outnumbered, and long-range diffusion systems when the attacker is common. These predictions are supported by competition experiments with Pseudomonas aeruginosa, which also show that strains can use both types of system in conjunction.

High voltages/light intensities are typically needed to mimic human visual adaptability. Here, the authors present an image sensor array with low operation voltage that mimics synaptic functions with ultraweak light stimulation and performs image processing tasks accurately.

An optical version of a brain-inspired neurosynaptic system, using wavelength division multiplexing techniques, is presented that is capable of supervised and unsupervised learning.

A phenomenon of dynamical Aharonov-Bohm caging arises in a Z2 lattice gauge theory, as a result of vison-like configurations of the gauge-magnetic flux threading elementary plaquettes of the lattice. The authors demonstrate that particles are tightly confined inside the cages, which become mobile in the presence of quantum fluctuations, leading to a Luttinger Liquid or to a Mott insulator of the confined mesons.

Measurements on a chiral magnet show that non-symmorphic symmetries enforce topological crossings exactly at the Fermi level in certain materials; these crossings can be controlled by an applied magnetic field.

The host immune response plays a critical role in the immunopathology of SARS-CoV2. Here the authors combine a systems biology approach to implicate monocytes as key drivers of cytokine storm and disturbed neutrophil activation in COVID-19 disease severity.

In contrast to the larynx of mammals, birds produce sound using a unique vocal organ called the syrinx. Using ex vivo preparations, Elemans et al.show that, despite large anatomical differences, sound production across a range of avian taxa is via the myoelastic-aerodynamic mechanism, the same mechanism involved in human speech.

Gunawan et al. propose an Extensible Immunofluorescence (ExIF) strategy that integrates distinct 4-plex image panels from routine fluorescence microscopy into multiplexed datasets enabling quantitative interrogation of complex, multimolecular single-cell processes.

There are few examples of tunable ferroic orders in two-dimensional layered hybrid perovskites. Here, the authors demonstrate tunable ferroic orders from ferroelectricity to ferroelasticity in such system by intercalation chemistry.

Controlled particle acceleration in plasmas requires precise measurements of the excited wakefield. Here the authors report and demonstrate a high-resolution method to measure the effective longitudinal electric field of a beam-driven plasma-wakefield accelerator.

Raman spectroscopy has become an invaluable tool for graphene characterisation, yet the nature of the broadening of the Raman 2D line remains unclear. Here, Stampferet al. show that the Raman 2D line width is a measure of nanometre-scale strain variations in graphene on insulating substrates.

Pump–probe measurements conventionally achieve femtosecond time resolution for X-ray crystallography of reactive processes, but the measured structural dynamics are complex. Using coherent control techniques, we show that the ultrafast crystallographic differences of a fluorescent protein are dominated by ground-state vibrational processes that are unconnected to the photoisomerization reaction of the chromophore.

The Earth’s bow shock results from the interaction of the solar wind with the terrestrial magnetic field. With global numerical simulations and spacecraft observations, the transmission of fast magnetosonic waves through the bow shock is revealed.

Physics-informed convolutional neural networks are effective extensions of physics-informed neural networks for solving systems of partial differential equations modeling complex physical systems. Using automated machine learning, this study offers a framework to achieve optimal network architectures and loss functions that outperform manually designed state-of-the-art models, with a 59.8-fold reduction in prediction error across six systems including heat transfer, incompressible fluid flow, and porous media flow.

A Bell-like experiment that discriminates between real-number and complex-number multipartite quantum systems could disprove real quantum theory.

Engineered defects in the diamond lattice hold promise for the storage and manipulation of quantum information. Entanglement between the electron and nuclear spins of two such defects is demonstrated at room temperature.

AMPK integrates information about a cell’s energy status to inform decisions about cellular processes, including autophagy. Here the authors identify cyclin Y as an AMPK substrate, which phosphorylates cyclin Y and promotes its interaction with CDK16 to stimulate autophagy.

All components of the proton–proton nuclear fusion chain, in which hydrogen is converted into helium in the Sun, are described, with several implications for fundamental solar and particle physics.

Controlling the Néel vector switching is crucial to the antiferromagnetic spintronics but so far limited to 90° reorientations. Here the authors report electrical Néel vector reversal and its detection in a fully compensated collinear antiferromagnet (AF) by exploiting the broken time reversal and spatial inversion symmetries of the AF.

Observations of the young supernova remnant SNR 0509-67.5 in the Large Magellanic Cloud reveal concentric shells of ionized calcium and sulfur that resemble hydrodynamical simulations of the double detonation of a sub-Chandrasekhar-mass white dwarf.

Tailoring the properties of single photon emission is a key requirement in photonic quantum technologies. Here, the authors demonstrate frequency and polarisation control of photons emitted from quantum dots through a laser-controlled down-conversion process.