Diabetic wounds pose a significant challenge due to impaired tissue regeneration, prolonged inflammation, poor oxygen supply, and microbial infections. Methicillin-resistant Staphylococcus aureus (MRSA) infections delay healing by prolonging inflammation and increasing antimicrobial resistance. To develop an effective antibiotic alternative, multifunctional nanocomposites, ceria-zinc nanoflowers (CeZn@PPY@MB NFs) bearing a polypyrrole (PPY) coating loaded with methylene blue (MB) are developed, to address the multifaceted requirements for healing diabetic wounds. Due to the synergistic effects of photothermal, catalysis, and reactive oxygen species (ROS) generation,CeZn@PPY@MB NFs exhibit robust antibacterial activity with high collagen deposition and angiogenesis. The nanoflowers, with a high surface area of water lily-like morphology, are confirmed through scanning electron microscopy, energy-dispersive X-ray analysis, X-ray photoelectron spectroscopy, and X-ray diffraction analysis. PPY/MB-mediated synergistic photothermal effect, ROS generation, and catalytic activities lead to robust MRSA killing and biofilm disruption. Nanoflowers demonstrate rapid wound healing due to reduced inflammation, tissue regeneration, and angiogenesis in the diabetes-induced wound model by modulating tumor necrosis factor-α, CD-44, Ki-67, collagen deposition, ROS, interleukin-1β (IL-1β), IL-8, and IL-6 expression. Therefore, the developed multifunctional hybrid-metallic nanoflowers provide an advanced nanotherapeutic platform to eradicate MRSA effectively, offering a promising alternative to antibiotic therapy for managing resistant bacteria-infected diabetic foot ulcers.

The sluggish hydrogen evolution reaction (HER) kinetics in alkaline media, primarily attributed to the additional water dissociation step, has led to a significant activity gap between acidic and alkaline conditions. Metal‐supported electrocatalysts leveraging hydrogen spillover have garnered significant attention due to sufficiently utilized reaction sites; however, designing active catalysts remains a formidable challenge, primarily due to the limited understanding of the specific regulatory mechanisms governing proton spillover. Herein, a facile strategy is reported for the fabrication of Pt nanoclusters (PtNC) on oxygen‐defect‐rich NiO nanowires (PtNC‐D‐NiO). The electrocatalyst demonstrates excellent intrinsic and mass‐normalized HER activity and remarkable long‐term stability, outperforming PtNC on pristine NiO nanowires and commercial Pt/C. Notably, its alkaline HER activity is fairly close to its acidic counterpart, significantly narrowing the activity gap compared to commercial Pt/C. Advanced ex situ/operando physicochemical characterizations, including in situ electrochemical impedance spectroscopy, reveal that oxygen defects substantially lower the water dissociation energy barrier. This facilitates rapid H* spillover and enhances local H* coverage on PtNC, thus accelerating subsequent H* recombination to boost alkaline HER. This work not only offers a cost‐effective catalyst design strategy but also provides fundamental insights into the role of hydrogen spillover in optimizing electrocatalytic performance.

The oxygen evolution reaction (OER) is the primary kinetic bottleneck in water electrolysis, requiring catalysts that are both efficient and durable. Here, a MnCoNi-RuO2 (MCN-RuO2) heterostructured catalyst synthesized via a controlled impregnation-annealing-etching process that integrates multimetal doping with mixed-phase oxide formation is reported. Structural analyses reveal a RuO2 host lattice interfaced with MnO and spinel-type CoNiO x domains, generating lattice distortion, oxygen vacancies, and defect-rich interfaces that tune the electronic structure and enrich active sites. Electrochemical tests demonstrate overpotentials as low as 200 mV at 10 mA cm-2, a low Tafel slope, and markedly improved stability relative to commercial RuO2 and IrO2. The catalyst also retains high activity under acidic conditions and, when implemented in an anion exchange membrane water electrolyzer, sustains industrially relevant operation for 100 h with minimal degradation. Density functional theory calculations reveal that multimetal incorporation drives charge redistribution, lowers the work function, and shifts Ru-4d states, reducing the barrier for the rate-determining *O → *OOH step while enhancing stability against Ru dissolution. These findings establish MCN-RuO2 as a versatile, Ir-free platform and demonstrate multimetal doping with heterointerface engineering as a powerful strategy for designing next-generation OER catalysts.

The development of miniaturized, remotely addressable sensing devices is crucial in a variety of fields, including healthcare, environmental monitoring, and security. This study introduces an optrode sensor comprising a multimaterial fiber composed of a phosphate glass cladding and a continuous Zn wire core, interfaced with a photoactive ZnO coating on its tip, deposited by anodization. It is shown that this optrode can promote photoelectrochemical reactions under illumination with UV light when immersed in an aqueous electrolyte. Proof‐of‐principle experiments demonstrate that these optrodes produce a glucose‐responsive photocurrent, opening the way to biomedical applications. This optical sensor shows promise, as it would ultimately allow the decoupling of input stimuli, i.e., potential and light excitation, over a long distance. Due to its advantages in terms of integration, detection speed, and ease of use, these ZnO/Zn/phosphate optrodes hold significant potential for remote analysis and implantable sensors.

Tandem Solar Cells Crucial advancements are still needed to enable scalable, reliable fabrication of perovskite photovoltaics. In article number 2500362, Raphael Pesch, Ulrich Wilhelm Paetzold, and co-workers present a hybrid evaporation and inkjet printing method to produce high-efficiency perovskite/silicon tandem solar cells. The process achieves 27.4% power conversion efficiency on fully textured silicon with uniform, edge-to-edge coverage, meeting industry standards and offering strong potential for large-scale commercial solar cell production.

With the rapid development of highly integrated electronic devices, electromagnetic interference leakage through assembly gaps has become a critical challenge. Conductive rubber, combining electrical conductivity and elastic compressibility, is widely recognized as a core material for achieving electromagnetic compatibility. Carbon‐based conductive rubbers are attractive for their lightweight and corrosion resistance, but they face the critical bottleneck of achieving high shielding efficiency at low filler loadings. To address this issue, research has shifted from single‐component carbon fillers toward multicomponent synergistic systems and structural designs. This review systematically classifies synergistic systems into carbon–carbon, carbon–metal, and carbon–magnetic types, highlighting their conductive network architectures, shielding mechanisms, and performance trade‐offs. It further emphasizes the coupled optimization between filler systems and rubber structures, which enables significant improvements in shielding effectiveness. Finally, the review outlines future directions, including service reliability, integrated structural–functional design, intelligent responsive materials, and multifunctional sustainable development, providing guidance for the advancement of high‐performance carbon‐based conductive rubbers.

The evolution of label‐free electrochemical biosensors has revolutionized the field of analytical detection by enabling rapid, direct, and sensitive detection of a wide range of analytes. Electrochemical impedance spectroscopy (EIS) provides mechanistic insight into the interfacial changes occurring at the electrode/electrolyte interface, thereby enabling real‐time monitoring. Direct detection of molecular binding events at the electrode interface is made possible by sensing measurable shifts in interfacial impedance characteristics. Despite their versatility, the commercial translation of EIS‐enabled biosensors has been hindered by challenges in achieving robust sensitivity, specificity, and reproducibility. Recent progress in the field, including integration of nanoengineered electrode materials and novel biorecognition elements, has addressed some of these limitations, resulting in marked improvements in EIS‐based biosensor performance. This review discusses the mechanistic principles underlying label‐free EIS biosensing and highlights recent developments in electrode surface modification and sensor architecture. It also explores the integration of novel biorecognition elements and describes how their impact on sensor performance may be assessed. Current limitations and future directions for the application of EIS‐enabled sensors in clinical diagnostics, environmental analysis, and food safety monitoring are also considered.

CO2 Reduction In article number 2500184, Shunsuke Yagi and co-workers synthesized a defect-engineered Bi nanoflower catalyst through a unique structural transformation and electrochemical reconstruction strategy. It exhibits greater than 90% Faradaic efficiency for CO2 electroreduction to formate with long-term stability. This study reveals how precursor-derived defects boost catalytic activity through structural reconstruction, offering new insights into the design of CO2 electroreduction catalysts.

Characterizing the 3D complex energy materials interface is critical to understand the correlative relationship between performance, degradation, and structures. Unfortunately, the resolution of microscopy and image acquisition speed are limited by the nature of the hardware, causing high‐throughput characterization of energy materials to be prohibitive. Herein, REMind, a generative diffusion artificial intelligence model for fast and accurate reconstruction of electrode microstructures via focused ion beam‐scanning electron microscopy, is presented. REMind can generate high‐resolution internal microstructures between two low‐resolution surfaces after training on sufficient high‐resolution microstructures, enabling larger milling thickness between slices while keeping high‐fidelity imaging. REMind is first demonstrated for reconstructing solid oxide fuel cell (SOFC) anode microstructures. REMind resolves relevant multi‐scale structures with low pixel‐wise reconstruction error (<10%) and quantifies the generated uncertainty by calculating the generated entropy. Additionally, a multi‐scale multi‐physics SOFC model is employed to further quantify the reconstructed error regarding the electrochemical performance, i.e., operating current density versus overpotential. REMind shows good transferability, as proven by its ability to reconstruct other energy materials, including catalyst layers of proton exchange membrane fuel cells and solid‐state battery composite electrodes, demonstrating the potential for REMind to be used as a general‐purpose platform for broad development of energy technology.

Accumulation of huntingtin exon‐1 protein (httex1) fibrils within neurons occurs when the polyglutamine region exceeds ≈35 residues and is responsible for Huntington disease, a fatal neurodegenerative condition. Recent work has shown that selenium nanoparticles (SeNP) are protective against neurodegeneration. Herein, the mechanistic basis for SeNP modulation of httex1 aggregation is explored. Fibril formation of httex1 entails two distinct processes on timescales differing by many orders of magnitude: prenucleation oligomerization on the microsecond timescale to generate a low population of transient tetramers that undergo slow (hours timescale) unimolecular conversion into elongation‐competent nuclei, followed by elongation and secondary nucleation. Using NMR spectroscopy, fluorescence immunostaining, and transmission electron microscopy, the interaction of SeNPs with two httex1 protein constructs, httex1Q7 and httex1Q35 containing 7 and 35 glutamine repeats, respectively, is studied. httex1Q7 undergoes transient prenucleation tetramerization but remains largely monomeric over a period of weeks, while httex1Q35 forms fibrils within a period of hours. It is shown that SeNPs reduce the rate of fibril formation substoichiometrically with respect to monomer by selectively targeting and binding with nanomolar affinity to the extendable ends of elongation‐competent species of httex1Q35, thereby reducing the pool of free extendable ends.