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Han et al. report a highly conductive composite electrode with low equivalent sheet resistance of 1.5 Ω sq-1. A self-masking method is developed to prevent shunting caused by uneven grid surfaces, enabling flexible organic solar cells with efficiencies of 15.20% (4 cm² devices) and 14.24% (16 cm² devices).

Integrative analyses of transcriptome and whole-genome sequencing data for 1,188 tumours across 27 types of cancer are used to provide a comprehensive catalogue of RNA-level alterations in cancer.

While solid-state batteries offer higher energy densities than liquid-based batteries, such devices require effective ion conduction pathways. Here, authors prepare porous organic cages as solution-processable catholytes that are enable excellent performances from various cathode active materials.

Here, the authors report photon-energy-dependent terahertz emission and ultrafast photocurrents from the Weyl semimetal, TaAs. The polarization control of the emission is achieved by excitation of the photocurrents whose direction and magnitude depend on the polarization of the femtosecond optical pulses.

Novel cathode design holds the key to enabling high performance lithium-sulfur batteries. Here the authors utilize anthraquinone to chemically stabilize polysulfides, revealing that the keto groups of anthraquinone play a critical role in forming strong Lewis acid-based chemical bonding.

The introduction of a coherent perovskite phase into the layered structure of a lithium-ion battery reduces lattice strain and stress to produce a robust crystal structure.

Large barocaloric effects driven by pressure may lead to environmentally friendly cooling, but they have only been observed in a small number of relatively expensive magnetic materials. Here, the authors show large barocaloric effects near the ferrielectric phase transition in ammonium sulphate.

Reducing dissipation when generating spin currents remains a central challenge in spintronics. Now, an artificial ferrimagnet is shown to produce spin current output and simultaneously lower magnetic damping.

The microwave-to-optical transduction between two superconducting circuits over a 1-km telecom link is implemented. The transduced signal preserves classical coherence with the original microwave signal, showing the feasibility of microwave distribution via optical carriers.

Coupling two ionic thermoelectric effects in n-type materials is scarce, restricting the development of high-performance systems. Here, the authors present an ionic-thermoelectric material with interactive thermo-diffusion/galvanic coupling effect based on coordination chemistry.

Jacquemyn et al. identify key lipid determinants controlling ectosome shedding from neurons. They find that ectosomes are a major route for the intercellular transport of misfolded α-synuclein, with relevance to Parkinson’s disease pathology.

Water is believed to undermine the performance of aprotic lithium–air batteries. However, the authors here disclose different battery chemistry, showing that both lithium ions and protons are involved in the battery reactions in the presence of water, leading to an unprecedented dynamic product.

The field of battery chemistry must embrace abundant elements such as Mn for improved sustainability. Here the authors engineer the orientation of Mn 3d orbitals, resulting in excellent performance in LiMnO₂ cathodes.

A reversible oxygen redox process contributes extra capacity and understanding this behavior is of high importance. Here, aided by resonant inelastic X-ray scattering, the authors reveal the distinctive anionic oxygen activity of battery electrodes with different transition metals.

The study of isotopes away from the beta stability valley is crucial for the understanding of nuclear structure, especially for neutron-deficient heavy nuclei. Here, the authors report the observation of the alpha-decay isotope 210-protactinium (Pa), extending the alpha-decay systematics of underexplored regions of the nuclides chart.

The authors report that the metallic spin-1/2 chain compound Ti₄MnBi₂ forms near a quantum critical point with inherent frustration. They identify strong 1D spin and 3D electron coupling that should stimulate the search for materials exhibiting a 1D Kondo effect and heavy fermions.

Previously documented record values of the fusion triple product in the stellarator Wendelstein 7-X are shown to be evidence for reduced neoclassical energy transport in this optimized device.

Investigating the inner structure of baryons is important to further our understanding of the strong interaction. Here, the BESIII Collaboration extracts the absolute value of the ratio of the electric to magnetic form factors and its relative phase for e + e − → J/ψ → ΛΣ decays, enhancing the signal thanks to the vacuum polarisation effect at the J/ψ peak.

In this study, the heterodimeric GABA_B receptor, a class C G protein-coupled receptor for the neurotransmitter GABA, is found to be allosterically activated by mechanical forces in a GABA independent manner through a direct interaction with integrin.

Superconductivity in iron pnictides seems to be related to the formation of electronic nematic phases that break the rotational symmetry of the crystal lattice. But the nematic phase in NaFeAs is now shown to persist at high temperatures owing to the presence of antiferroic fluctuations.

Here, Chen et al. develop an injectable hydrogel that induces innate immune memory against reinfection and promotes bone repair in osteomyelitis, offering a biomaterial-based immunomodulatory strategy for refractory bone infections.

Thermal lepton pairs are ideal probes for the temperature of quark-gluon plasma. Here, the STAR Collaboration uses thermal electron-positron pair production to measure quark-gluon plasma average temperature at different stages of the evolution.

The existence and properties of tetraquark states with two heavy quarks and two light antiquarks have been widely debated. Here, the authors use a unitarized model to study the properties of an exotic narrow state compatible with a doubly charmed tetraquark.

Thermal stability remains a key challenge for organic photovoltaics. Qin et al. now propose a strategy that stabilizes multiple components of the devices, enhancing their resilience under damp heat and thermal cycling conditions.

Existing studies on the economic feasibility of energy storage are system-specific without considering the decarbonisation of electricity production or impacts of GHG taxes. Here the authors applied an optimization model to investigate the economic viability of nice selected energy storage technologies in California and found that renewable curtailment and GHG reductions highly depend on capital costs of energy storage.

Mechanical integrity issues are one of the main causes of limited long-term cycle stability for Ni-rich cathode materials. Here the authors analyse the roles of cobalt and manganese and utilise a concentration gradient design to mitigate these issues.

Water has a role to play in the future of cooling but is currently limited by the lack of meaningful control methods. Here, authors demonstrate the ability of electrostatic fields to act as a catalyst for water-based evaporative cooling, paving the way for widescale adoption of evaporative cooling.

Li et al. reveal projection neuron-type-specific dynamics that coordinate corticothalamic communication during reach-to-consume behavior in mice.

Tokamak walls suffer erosion from steady and bursty heat loads. Here, the authors demonstrate that optimizing 3D magnetic field and cooling gas injection can tame destructive plasma bursts while enabling cooler, safer exhaust conditions.

Observations of γ-rays with energies up to 1.4 PeV find that 12 sources in the Galaxy are PeVatrons, one of which is the Crab Nebula.

The CMS Collaboration reports evidence for off-shell Higgs boson contributions in the production of Z boson pairs, and measures the width of the Higgs boson, which is inversely related to its lifetime.

In somatic cells the mechanisms maintaining the chromosome ends are normally inactivated; however, cancer cells can re-activate these pathways to support continuous growth. Here, the authors characterize the telomeric landscapes across tumour types and identify genomic alterations associated with different telomere maintenance mechanisms.

Experimental measurements of high-order out-of-time-order correlators on a superconducting quantum processor show that these correlators remain highly sensitive to the quantum many-body dynamics in quantum computers at long timescales.

A key challenge in robotics is leveraging pre-training as a form of knowledge to generate movements. The authors propose a general learning framework for reusing pre-trained knowledge across different perception and task levels. The deployed robots exhibit lifelike agility and sophisticated game-playing strategies.

Evo 2 is an artificial intelligence-based biological foundation model trained on 9 trillion DNA base pairs spanning all domains of life that predicts functional properties from genomic sequences and provides a rich generative model for researchers in biology.

The authors study a topological insulator (TI) sandwiched between two magnetic TIs. By keeping one of the magnetic TIs insulating, while tuning the other one into a metallic regime, they find half quantized anomalous Hall conductance, a boundary signature consistent with a quantized axion field.

In a quantum simulation of a (2+1)D lattice gauge theory using a superconducting quantum processor, the dynamics of strings reveal the transition from deconfined to confined excitations as the effective electric field is increased.

The capturing of high valent iron in a catalytic reaction is important but difficult task. Here, the authors report identification of a high-valent Fe(IV)-species with different spectroscopic tools such as Mössbauer spectroscopy and X-ray absorption spectroscopy during the course of an oxygen evolving reaction.

A variational-autoencoder-based diffusion architecture that enables topological controls on the diffusion-based protein structure generation is proposed. As a result, novel folds of mainly beta proteins can be designed with experimental validation.

SEAM is a platform for the analysis of high-resolution secondary ion mass spectrometry imaging that allows spatially resolved nuclear metabolomic profiling at the single-cell level.

Composite cathodes created by anionic redox reactions of bromine and chlorine intercalated into graphite, combined with water-in-salt electrolyte and graphite anodes, provide aqueous lithium-ion batteries with improved energy density.

A new optical imaging study demonstrates that norepinephrine and the state of arousal influence hemodynamic correlations across cerebral cortex, calling for a conceptual shift in interpreting functional magnetic resonance imaging data.

Dissolution of manganese from the cathode in lithium manganate based batteries is a major cause for the capacity decay. Here, the authors show a nanoscale surface-doping approach to mitigate the problem and to improve the battery capacity and cycleability.

Cooperative paramagnetism refers to a strongly correlated state without long range magnetic order that occurs in frustrated magnetic systems between the Neel temperature and Curie-Weiss temperature. Here, using resonant elastic magnetic and inelastic x-ray scattering, Terilli et al find a spectrally sharp gapped magnetic excitations that persists above the Neel temperature in Y₂Ir₂O₇, implying a cooperative paramagnetic phase.

Wang et al. show that promyelocytic leukaemia protein (PML) reduces polyG inclusions via chaperone-mediated disaggregation and proteasome-dependent degradation. This suggests a possible role for PML in various neurodegenerative diseases.

Kagome lattices host a plethora of topological phenomena. Here, the authors identify nearly flat spin-wave bands in part of the Brillouin zone and large orbital moments in the metallic kagome ferromagnet Fe₃Sn₂.

The clinical significance of inferring cell spatial profiles from histology images from cancer patients remains to be explored. Here, the authors develop a weakly-supervised deep-learning method, HistoCell, for the direct prediction of super-resolution cell spatial profiles from histology images at the single-nucleus-level.