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Next generation smart lighting requires high colour rendering and wide colour controllability. Here, Jung et al. realise, via a systematic colour optimisation and a computational charge transport simulation, white quantum dot light-emitting diodes with high colour performance.

Machine learning-based surrogate models are important to model complex systems at a reduced computational cost; however, they must often be re-evaluated and adapted for validity on future data. Diaw and colleagues propose an online training method leveraging optimizer-directed sampling to produce surrogate models that can be applied to any future data and demonstrate the approach on a dense nuclear-matter equation of state containing a phase transition.

Optically generated microwaves offer exceptionally low noise, crucial for radar and communications. Here, authors demonstrate a compact photonic chip-based interleaver multiplying pulse rates of mode-locked lasers to 14 GHz, significantly enhancing microwave power and reducing phase noise.

The LGN is a critical stage between the retina and visual cortex, but the properties of human LGN neurons are not fully understood. Here the authors report that they closely resemble those in monkeys and that closure of one eye increases the activity of putative inhibitory neurons connected to that eye.

This work experimentally demonstrates that light-field spatial modulation can be harnessed to substantially increase the forces used to optically levitate nanoparticles in vacuum.

Digital quantum simulations of Kitaev’s honeycomb model are realized for two-dimensional fermionic systems using a reconfigurable atom-array processor and used to study the Fermi–Hubbard model on a square lattice.

Laser wakefield accelerators are compact sources of ultra-relativistic electrons which are highly sensitive to many control parameters. Here the authors present an automated machine learning based method for the efficient multi-dimensional optimization of these plasma-based particle accelerators.

Epidemiological methods are used to show that the Great Fear of 1789, a series of peasant insurrections in rural revolutionary France, was driven by deliberate political action rather than spontaneous fear.

Although the conformations of highly populated protein metastable states have been studied in detail, capturing the transitions between those states has remained challenging. Here, the authors present an algorithm that generates trajectories in torsion angle space by minimising the kinetic energy required for a transition between experimentally determined end states, demonstrating its application to three membrane transporter superfamilies.

Mendelian randomization (MR) identifies causal relationships from observational data but has increased error rates when the genetic variants used as instruments come from a single region, a typical scenario when assessing molecular traits like protein or metabolite levels as risk factors. Here the authors introduce a single-region pleiotropy-robust MR method, validating the method on three ground truth sources, showing its capability to identify disease-causing molecular traits.

Coherent quantum transition spectroscopy of the spin of a single antiproton is reported, demonstrating Rabi oscillations of the spin and enabling improved measurement of matter/antimatter symmetry using proton and antiproton magnetic moments.

Full tomography of the quantum state of a many-body system becomes harder as more and more atoms are included. Here the authors borrow a concept from condensed-matter physics, continuous matrix-product states, and present an efficient approach for experimental quantum-field tomography.

A computationally efficient description of ice-water systems at the mesoscopic scale is challenging due to system size and timescale limitations. Here the authors develop a machine-learned coarse-grained water model to elucidate the ice nucleation process much more efficiently than previous models.

Using the James Webb Space Telescope's Mid-Infrared Instrument, a study reports evidence for a direct detection of a cold, sub-Jupiter-mass planet in the disk of the star TWA 7. 

Quantum mechanical tunneling has so far been observed for heavy elements up to oxygen. Here, the authors use laser ablation to create a pentafluoride ion confined in a Ne matrix, where an F⁻ ion tunnels between two F₂ units in a quasi-linear structure.

The authors mapped the dendritic morphology of thousands of striatal D1-type and D2-type medium spiny neurons in healthy and Huntington’s disease mouse brains, revealing dendritic modules with distinct neuronal shapes, spatial distributions and cortical inputs.

A metalloenzyme capable of oxidatively cleaving cellulose, found in a microbial community specialized in lignocellulose degradation, could enable sustainable biofuel production.

Data collected from more than 2,000 taxa provide an unparalleled opportunity to quantify how extreme wildfires affect biodiversity, revealing that the largest effects on plants and animals were in areas with frequent or recent past fires and within extensively burnt areas.

Antiferromagnetic order in iridates arising from unusual combinations of strong electron-correlation and spin-orbit coupling has drawn broad attention in the condensed matter community. In this work, the authors uncover the interplay between antiferromagnetic and nematic orders, highlighting its fundamental importance and potential functional applications.

Intrinsic molecular resources are used to implement a two-qubit iSWAP gate using individually trapped X¹Σ⁺ NaCs molecules.

Dose-response curves are ubiquitous in pharmacology and biology, yet potency and effect size are often estimated even when there is no response. Here, authors present a statistical framework to assess curve significance and demonstrate how this aids drug mode of action analysis in large public datasets.

Here the authors directly observe space-charge-induced electric fields at yttria-stabilized zirconia grain boundaries, revealing how space charge layers corelate with grain boundary orientations, core atomic structures, and yttrium segregation amounts.

Gene expression of cells is a heterogeneous and dynamic program involved in various biological processes. Here, authors develop Well-TEMPseq, a high-throughput, cost-effective, and accurate method for massively parallel profiling of the temporal dynamics of single-cell gene expression.

Active PSF shaping and adaptive optics are combined to enable 3D localization microscopy throughout thick tissues. The method was used to study the nanoscale architecture of amyloid fibrils in a mouse model of Alzheimer’s disease.

The icy surface compositions, as revealed by JWST, of small bodies beyond the orbit of Neptune can be classified into three groups that can be related to the ice retention lines in the early Solar System, possibly before the planets migrated.

Vagal-driven heart rhythm fluctuations modulate the heartbeat strength sensed in the head, linking cardiac rhythms to brain mechanosensation. These findings highlight vagal tone’s role in shaping brain-heart communication.

This Article reports the emergence of SARS-CoV-2 escape mutations during bamlanivimab therapy in the setting of a phase II clinical trial.

The near-infrared spectrometer onboard JWST has detected CO₂ and CO ices on 56 and 29 trans-Neptunian objects, respectively, indicating two dominant compositional types among them. These compositional differences suggest varied formation regions in the protoplanetary disk.