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High‐efficiency and low‐cost catalysts for oxygen evolution reaction (OER) are critical for electrochemical water splitting to generate hydrogen, which is a clean fuel for sustainable energy conversion and storage. Among the emerging OER catalysts, transition metal dichalcogenides have exhibited superior activity compared to commercial standards such as RuO2, but inferior stability due to uncontrolled restructuring with OER. In this study, we create bimetallic sulfide catalysts by adapting the atomic ratio of Ni and Co in CoxNi1‐xSy electrocatalysts to investigate the intricate restructuring processes. Surface‐sensitive X‐ray photoelectron spectroscopy and bulk‐sensitive X‐ray absorption spectroscopy confirmed the favorable restructuring of transition metal sulfide material following OER processes. Our results indicate that a small amount of Ni substitution can reshape the Co local electronic structure, which regulates the restructuring process to optimize the balance between OER activity and stability. This work represents a significant advancement in the development of efficient and noble metal‐free OER electrocatalysts through a doping‐regulated restructuring approach. [ABSTRACT FROM AUTHOR]

Tornadoes, as highly destructive weather events, require accurate detection for effective decision‐making. Traditional radar‐based tornado detection algorithms (TDA) face challenges with limited tornado feature extraction capabilities, leading to high false alarm rates and low detection probabilities. This study introduces the Multi‐Task Identification Network (MTI‐Net), leveraging Doppler radar data to enhance tornado recognition. MTI‐Net integrates tornado detection and estimation tasks to acquire comprehensive spatial and locational information. As part of MTI‐Net, we introduce a novel backbone network of Multi‐Head Convolutional Block (MHCB), which incorporates Spatial and Channel Attention Units (SAU and CAU). SAU optimizes local tornado feature extraction, while CAU reduces false alarms by enhancing dependencies among input variables. Experiments demonstrate the superiority of MTI‐Net over TDA, with a decrease in false alarm rates from 0.94 to 0.46 and an increase in hit rates from 0.23 to 0.81, highlighting the effectiveness of MTI‐Net in handling small‐scale tornado events. Plain Language Summary: Tornadoes, highly destructive small‐scale weather phenomena, demand accurate detection for informed decision‐making. Although meteorological radars are commonly utilized for tornado identification, current methods often suffer from false alarms or missed detections due to radar noise. In this study, we introduce the multi‐task learning‐based identification network (MTI‐Net), which not only enables tornado detection but also estimates tornado counts within radar data. We integrate Convolutional Neural Networks (CNNs) with Transformer techniques to enhance the model's ability to capture tornado information. CNNs detect local details using filters, while Transformers manage global connections through attention mechanisms. A series of experiments demonstrate significant improvements in tornado detection with MTI‐Net compared to traditional methods. Key Points: A tornado dataset with detailed radar features was created over China from 2017 to 2023Multi‐task learning was designed to simultaneously infer tornado detection and tornado number estimationIntegration of spatial and channel attention units can better extract tornado features from radar data [ABSTRACT FROM AUTHOR]

Objective: We have developed explainable machine learning models to predict the overall survival (OS) of retroperitoneal liposarcoma (RLPS) patients. This approach aims to enhance the explainability and transparency of our modeling results. Methods: We collected clinicopathological information of RLPS patients from The Surveillance, Epidemiology, and End Results (SEER) database and allocated them into training and validation sets with a 7:3 ratio. Simultaneously, we obtained an external validation cohort from The First Affiliated Hospital of Naval Medical University (Shanghai, China). We performed LASSO regression and multivariate Cox proportional hazards analysis to identify relevant risk factors, which were then combined to develop six machine learning (ML) models: Cox proportional hazards model (Coxph), random survival forest (RSF), ranger, gradient boosting with component‐wise linear models (GBM), decision trees, and boosting trees. The predictive performance of these ML models was evaluated using the concordance index (C‐index), the integrated cumulative/dynamic area under the curve (AUC), and the integrated Brier score, as well as the Cox–Snell residual plot. We also used time‐dependent variable importance, analysis of partial dependence survival plots, and the generation of aggregated survival SHapley Additive exPlanations (SurvSHAP) plots to provide a global explanation of the optimal model. Additionally, SurvSHAP (t) and survival local interpretable model‐agnostic explanations (SurvLIME) plots were used to provide a local explanation of the optimal model. Results: The final ML models are consisted of six factors: patient's age, gender, marital status, surgical history, as well as tumor's histopathological classification, histological grade, and SEER stage. Our prognostic model exhibits significant discriminative ability, particularly with the ranger model performing optimally. In the training set, validation set, and external validation set, the AUC for 1, 3, and 5 year OS are all above 0.83, and the integrated Brier scores are consistently below 0.15. The explainability analysis of the ranger model also indicates that histological grade, histopathological classification, and age are the most influential factors in predicting OS. Conclusions: The ranger ML prognostic model exhibits optimal performance and can be utilized to predict the OS of RLPS patients, offering valuable and crucial references for clinical physicians to make informed decisions in advance. [ABSTRACT FROM AUTHOR]

Distinct from conventional optical lenses suffering from the diffraction limit, the superoscillatory lens offers an alternative approach to realize far‐field sub‐diffraction focusing and find significant applications in both microscopy and telescopy. During the past few years, planar micro/nanostructures are unitized to precisely manipulate the optical fields through a standard lens to realize a superoscillatory field along the radial direction of the pupil. Here, an angular superoscillatory metalens (ASOM) is demonstrated by combining the superoscillatory phase and angular metalens phase in a single metasurface. To the best of the authors' knowledge, this is the first work that focuses on the angular superoscillatory phenomenon. As a proof‐of‐concept application demo, this study shows the ASOM can map the received orbital angular modes (OAMs) into focusing patterns at the focal plane with different azimuth angles. Therefore, the OAM spectrum incorporating multiple modes can be determined with a single‐shot measurement according to the precalibrated mapping relationship. This study shows that the OAM resolution is scaled up about 3.2 times compared with a normal angular metalens, thanks to the shrinkage of the focal patterns. This approach may push the development of integrated and high‐dimensional optical and quantum systems. [ABSTRACT FROM AUTHOR]

Many metal coordination compounds catalyze CO2 electroreduction to CO, but cobalt phthalocyanine hybridized with conductive carbon such as carbon nanotubes is currently the only one that can generate methanol. The underlying structure–reactivity correlation and reaction mechanism desperately demand elucidation. Here we report the first in situ X‐ray absorption spectroscopy characterization, combined with ex situ spectroscopic and electrocatalytic measurements, to study CoPc‐catalyzed CO2 reduction to methanol. Molecular dispersion of CoPc on CNT surfaces, as evidenced by the observed electronic interaction between the two, is crucial to fast electron transfer to the active sites and multi‐electron CO2 reduction. CO, the key intermediate in the CO2‐to‐methanol pathway, is found to be labile on the active site, which necessitates a high local concentration in the microenvironment to compete with CO2 for active sites and promote methanol production. A comparison of the electrocatalytic performance of structurally related porphyrins indicates that the bridging aza‐N atoms of the Pc macrocycle are critical components of the CoPc active site that produces methanol. In situ X‐ray absorption spectroscopy identifies the active site as Co(I) and supports an increasingly non‐centrosymmetric Co coordination environment at negative applied potential, likely due to the formation of a Co−CO adduct during the catalysis. [ABSTRACT FROM AUTHOR]

The slow water dissociation process in alkaline electrolyte severely limits the kinetics of HER. The orientation of H2O is well known to affect the dissociation process, but H2O orientation is hard to control because of its random distribution. Herein, an atomically asymmetric local electric field was designed by IrRu dizygotic single‐atom sites (IrRu DSACs) to tune the H2O adsorption configuration and orientation, thus optimizing its dissociation process. The electric field intensity of IrRu DSACs is over 4.00×1010 N/C. The ab initio molecular dynamics simulations combined with in situ Raman spectroscopy analysis on the adsorption behavior of H2O show that the M−H bond length (M=active site) is shortened at the interface due to the strong local electric field gradient and the optimized water orientation promotes the dissociation process of interfacial water. This work provides a new way to explore the role of single atomic sites in alkaline hydrogen evolution reaction. [ABSTRACT FROM AUTHOR]

Background: Kinesin family member 4A (KIF4A) is upregulated in a variety of cancers. However, its expression and potential downstream targets in urothelial bladder carcinoma (UBC) remain unclear. Methods: Expression data of KIF4A in UBC and noncancerous tissues were downloaded from the GEPIA database. Cell proliferation, migration, invasion, and apoptosis of T24 and 5637 UBC cells were examined using wound healing, transwell, colony formation, CCK‐8, and flow cytometry assays. KIF4A and potential downstream genes were analyzed using qRT‐PCR, western blot analysis, and immunohistochemistry. Results: In UBC samples, KIF4A expression was significantly higher than in corresponding noncancerous samples. UBC patients with high KIF4A expression had poor cancer‐specific survival and overall survival. Knockdown of KIF4A significantly inhibited proliferation and promoted apoptosis of UBC cells, accompanied by dephosphorylation of AKT and increased the protein level of proapoptotic factors. Additionally, knockdown of KIF4A reduced migration and invasion of UBC cells whereas overexpression of KIF4A exhibited opposite effects, along with altered protein level in epithelial‐mesenchymal transition‐related genes. Furthermore, overexpression of YAP1 promoted KIF4A expression whereas knockdown of YAP1 suppressed KIF4A expression in UBC cells. Alternatively, KIF4A knockdown reduced YAP1 nuclear protein level whereas KIF4A overexpression suppressed YAP1 phosphorylation and facilitated YAP1 nuclear translocation. Conclusions: KIF4A upregulation correlates with poor prognosis of UBC. Knockdown of KIF4A inhibits proliferation, migration, and invasion of UBC cells while inducing apoptosis possibly through dephosphorylation of AKT, changes in EMT‐related genes, and interaction with YAP1. [ABSTRACT FROM AUTHOR]

The article titled "Metal Doping Regulates Electrocatalysts Restructuring During Oxygen Evolution Reaction" discusses the importance of restructuring in electrocatalysts and its impact on their catalytic activity and stability. The authors explain that electrocatalysts can undergo changes in composition and structure during catalytic reactions, which can lead to the formation of new nanoscale active centers. However, excessive restructuring can result in the formation of large bulk materials and a loss of activity. The researchers propose that by modifying the catalyst's composition and structure, it is possible to regulate the restructuring process and rate, achieving a balance between stability and activity. [Extracted from the article]

Carbon‐supported nitrogen‐coordinated single‐metal site catalysts (i.e., M−N−C, M: Fe, Co, or Ni) are active for the electrochemical CO2 reduction reaction (CO2RR) to CO. Further improving their intrinsic activity and selectivity by tuning their N−M bond structures and coordination is limited. Herein, we expand the coordination environments of M−N−C catalysts by designing dual‐metal active sites. The Ni‐Fe catalyst exhibited the most efficient CO2RR activity and promising stability compared to other combinations. Advanced structural characterization and theoretical prediction suggest that the most active N‐coordinated dual‐metal site configurations are 2N‐bridged (Fe‐Ni)N6, in which FeN4 and NiN4 moieties are shared with two N atoms. Two metals (i.e., Fe and Ni) in the dual‐metal site likely generate a synergy to enable more optimal *COOH adsorption and *CO desorption than single‐metal sites (FeN4 or NiN4) with improved intrinsic catalytic activity and selectivity. [ABSTRACT FROM AUTHOR]

Engineering atomically dispersed metal site catalysts with controlled local coordination environments and 3D nanostructures effectively improves the catalytic performance for the oxygen reduction reaction (ORR) and the carbon dioxide reduction reaction (CO2RR), which are critical for clean energy conversion and chemical production. Herein, an innovative approach for preparing core−shell nanostructured catalysts with different single‐metal sites in the core and the shell, respectively, is developed. In particular, as the shell precursors, covalent organic polymers with a thin layered structure that is polymerized in situ and coated on a metal‐doped ZIF‐derived carbon core are used, followed by a controlled thermal activation. The selective combination and construction of different metal sites increase active site density in the surface layers, promote structural robustness, facilitate mass/charge transfer, and yield a possible synergy of active sites in the core and the shell. The p‐FeNC(shell)@CoNC(core), consisting of a polymerized FeTPPCl‐derived carbon layer (p‐FeNC) on a Co‐doped ZIF‐derived carbon (CoNC), exhibits remarkable ORR activity and stability in acidic media along with encouraging durability in H2–air fuel cells. Likewise, a p‐FeNC(shell)@NiNC(core) catalyst demonstrates outstanding CO2RR activity and stability. Hence, integrating two appropriate single‐metal sites in core and shell precursors, respectively, can modulate morphological and catalytic properties for a possible synergy toward different electrocatalysis processes. [ABSTRACT FROM AUTHOR]

Main observation and conclusion: Inspired by the nitrogen fixation process on MoFe nitrogenase, asymmetrical coordinated Fe grafted onto 1T MoS2 were successfully synthesized. The unique electron‐rich structure with asymmetrical coordination made the 1T Fe0.1Mo0.9S2 layered material actively react with water and dinitrogen at room temperature and atmosphere pressure. Subsequently, ammonia can be produced with a yield of ~800 μmol (NH4+) g−1 (12.5% yield in mole). The activation, fixation and reduction of dinitrogen were confirmed by isotopically labeled experiments. The location and the specific coordination environment of grafted Fe in Fe‐Mo‐S were further determined by X‐ray absorption spectroscopy analysis. Our work demonstrates that the nitrogen fixation and reduction for ammonia at room temperature without any chemical and electrochemical assistance is distinctly different from traditional bionic‐inspired nitrogen fixation process. The mechanism of the activation and reduction of N2 was further investigated by density functional theory calculation and Raman spectra. Compared with 1T MoS2, the enriched electron nature and asymmetrical coordination of Fe in Fe‐Mo‐S materials play a critical role in the bioinspired activation of N2 at ambient condition. [ABSTRACT FROM AUTHOR]

Main observation and conclusion: Inspired by the nitrogen fixation process on MoFe nitrogenase, asymmetrical coordinated Fe grafted onto 1T MoS2 were successfully synthesized. The unique electron‐rich structure with asymmetrical coordination made the 1T Fe0.1Mo0.9S2 layered material actively react with water and dinitrogen at room temperature and atmosphere pressure. Subsequently, ammonia can be produced with a yield of ~800 μmol (NH4+) g−1 (12.5% yield in mole). The activation, fixation and reduction of dinitrogen were confirmed by isotopically labeled experiments. The location and the specific coordination environment of grafted Fe in Fe‐Mo‐S were further determined by X‐ray absorption spectroscopy analysis. Our work demonstrates that the nitrogen fixation and reduction for ammonia at room temperature without any chemical and electrochemical assistance is distinctly different from traditional bionic‐inspired nitrogen fixation process. The mechanism of the activation and reduction of N2 was further investigated by density functional theory calculation and Raman spectra. Compared with 1T MoS2, the enriched electron nature and asymmetrical coordination of Fe in Fe‐Mo‐S materials play a critical role in the bioinspired activation of N2 at ambient condition. [ABSTRACT FROM AUTHOR]

This study aimed to develop a highly selective, sensitive and fast liquid chromatography tandem mass spectrometric (LC–MS/MS) method for the determination of obacunone in rat plasma. Sample preparation was accomplished by a simple solid‐phase extraction procedure. Chromatographic separation was carried out on an ACQUITY BEH C18 column using acetonitrile/methanol (1:1, v/v) and 0.1% formic acid in water as mobile phase at a flow rate of 0.4 mL/min. Quantification was performed with multiple reactions monitoring in positive ion mode with the precursor‐to‐product ion transitions at m/z 455.2 > 161.1 for obacunone and m/z 515.2 > 161.1 for nomilin (internal standard). The assay was demonstrated to be linear over the concentration range of 0.1–1,000 ng/mL with correlation coefficient >0.999 (r > 0.999). The intra‐ and inter‐day accuracy ranged from −8.33 to 10.40%, while the precision was <10.41%. The mean extraction recovery was >75.32%, and the assay was free of matrix effect. The validated LC–MS/MS method was successfully applied to the pharmacokinetic study of obacunone in rats after oral and intravenous administrations. The oral bioavailability of obacunone was 13.59%. [ABSTRACT FROM AUTHOR]

The Zn‐air battery (ZAB) is attracting increasing attention due to its high safety and preeminent performance. However, the practical application of ZAB relies heavily on developing durable support materials to replace conventional carbon supports which have unrecoverable corrosion issues, severely jeopardizing ZAB performance. Herein, a novel porous FeCo glassy alloy is developed as a bifunctional catalytic support for ZAB. The conducting skeleton of the porous glassy alloy is used to stabilize oxygen reduction cocatalysts, and more importantly, the FeCo serves as the primary phase for oxygen evolution. To demonstrate the concept of catalytic glassy alloy support, ultrasmall Pd nanoparticles are anchored, as oxygen reduction active sites, on the porous FeCo (noted as Pd/FeCo) for ZAB. The Pd/FeCo exhibits a significantly improved electrocatalytic activity for oxygen reduction (a half‐wave potential of 0.85 V) and oxygen evolution (a potential of 1.55 V to reach 10 mA cm−2) in the alkaline media. When used in the ZAB, the Pd/FeCo delivers an output power density of 117 mW cm−2 and outstanding cycling stability for over 200 h (400 cycles), surpassing the conventional carbon‐supported Pt/C+IrO2 catalysts. Such an integrated design that combines highly active components with a porous architecture provides a new strategy to develop novel nanostructured electrocatalysts. [ABSTRACT FROM AUTHOR]

The development of an efficient electrocatalyst toward the hydrogen evolution reaction (HER) is of significant importance in transforming renewable electricity to pure and clean hydrogen by water splitting. However, the construction of an active electrocatalyst with multiple sites that can promote the dissociation of water molecules still remains a great challenge. Herein, a partial‐single‐atom, partial‐nanoparticle composite consisting of nanosized ruthenium (Ru) nanoparticles (NPs) and individual Ru atoms as an energy‐efficient HER catalyst in alkaline medium is reported. The formation of this unique composite mainly results from the dispersion of Ru NPs to small‐size NPs and single atoms (SAs) on the Fe/N codoped carbon (Fe–N–C) substrate due to the thermodynamic stability. The optimal catalyst exhibits an outstanding HER activity with an ultralow overpotential (9 mV) at 10 mA cm−2 (η10), a high turnover frequency (8.9 H2 s−1 at 50 mV overpotential), and nearly 100% Faraday efficiency, outperforming the state‐of‐the‐art commercial Pt/C and other reported HER electrocatalysts in alkaline condition. Both experimental and theoretical calculations reveal that the coexistence of Ru NPs and SAs can improve the hydride coupling and water dissociation kinetics, thus synergistically enhancing alkaline hydrogen evolution performance. [ABSTRACT FROM AUTHOR]

Atomically dispersed and nitrogen coordinated single metal sites (M‐N‐C, M=Fe, Co, Ni, Mn) are the popular platinum group‐metal (PGM)‐free catalysts for many electrochemical reactions. Traditional wet‐chemistry catalyst synthesis often requires complex procedures with unsatisfied reproducibility and scalability. Here, we report a facile chemical vapor deposition (CVD) strategy to synthesize the promising M‐N‐C catalysts. The deposition of gaseous 2‐methylimidazole onto M‐doped ZnO substrates, followed by an in situ thermal activation, effectively generated single metal sites well dispersed into porous carbon. In particular, an optimal CVD‐derived Fe‐N‐C catalyst exclusively contains atomically dispersed FeN4 sites with increased Fe loading relative to other catalysts from wet‐chemistry synthesis. The catalyst exhibited outstanding oxygen‐reduction activity in acidic electrolytes, which was further studied in proton‐exchange membrane fuel cells with encouraging performance. [ABSTRACT FROM AUTHOR]

The vast area of the North Pacific subtropical gyre (NPSG) makes it an important region in exporting biogenic particles and carbon to the deep ocean. Nevertheless, we remain largely ignorant on its past changes in export productivity, leaving an important gap in the understanding of ocean‐climate interactions during the late Quaternary. Here, we take a novel approach to study the particle export via reconstruction of dissolved 230Th/232Th based on ferromanganese crusts in deep waters of the NPSG at 3.8‐ and 2.8‐km water depth, respectively. The U‐series data indicate stable growth rates of both samples and a rather small variability of their initial (230Th/232Th) in the last ca. 0.7 Myr. These glacial–interglacial integrated values are only about half of the modern dissolved (230Th/232Th) in the deep NPSG, reflecting increased dust dissolution and also particle scavenging related to ~10–40% higher average export productivity than today. Plain Language Summary: Quantitative reconstruction of biogenic particle export to the deep ocean is essential to the understanding of carbon transfer between the ocean and the atmosphere during the past ice age cycles. However, an important knowledge gap still exists on the past biogenic particle export in the deep North Pacific subtropical gyre. Dissolved radionuclides 230Th and 232Th in seawater provide a unique tool to study past export particle flux. We have carried out Th isotope analysis of two excellently laminated and densely grown ferromanganese crusts collected from the subtropical North Pacific seamounts. Our data are explained by increased ice age dust dissolution as well as a few tens of percents higher average export productivity than today. Therefore, the North Pacific subtropical gyre would be a stronger sink for carbon during colder ice ages, possibly as a result of increased iron fertilization or other nutrient supply. Key Points: Hydrogenetic ferromanganese crust provides an archive of past seawater dissolved (230Th/232Th) signaturesConsistently lower glacial–interglacial integrated (230Th/232Th) than the present is observed in deep waters of the NPSGGlacial–interglacial average export productivity is higher by a few tens of percents than the present in the NPSG [ABSTRACT FROM AUTHOR]

Ammonia (NH3) electrosynthesis gains significant attention as NH3 is essentially important for fertilizer production and fuel utilization. However, electrochemical nitrogen reduction reaction (NRR) remains a great challenge because of low activity and poor selectivity. Herein, a new class of atomically dispersed Ni site electrocatalyst is reported, which exhibits the optimal NH3 yield of 115 µg cm−2 h−1 at –0.8 V versus reversible hydrogen electrode (RHE) under neutral conditions. High faradic efficiency of 21 ± 1.9% is achieved at ‐0.2 V versus RHE under alkaline conditions, although the ammonia yield is lower. The Ni sites are stabilized with nitrogen, which is verified by advanced X‐ray absorption spectroscopy and electron microscopy. Density functional theory calculations provide insightful understanding on the possible structure of active sites, relevant reaction pathways, and confirm that the Ni‐N3 sites are responsible for the experimentally observed activity and selectivity. Extensive controls strongly suggest that the atomically dispersed NiN3 site‐rich catalyst provides more intrinsically active sites than those in N‐doped carbon, instead of possible environmental contamination. This work further indicates that single‐metal site catalysts with optimal nitrogen coordination is very promising for NRR and indeed improves the scaling relationship of transition metals. [ABSTRACT FROM AUTHOR]

Electrode stabilization by surface passivation has been explored as the most crucial step to develop long‐cycle lithium‐ion batteries (LIBs). In this work, functionally graded materials consisting of "conversion‐type" iron‐doped nickel oxyfluoride (NiFeOF) cathode covered with a homologous passivation layer (HPL) are rationally designed for long‐cycle LIBs. The compact and fluorine‐rich HPL plays dual roles in suppressing the volume change of NiFeOF porous cathode and minimizing the dissolution of transition metals during LIBs cycling by forming a structure/composition gradient. The structure and composition of HPL reconstructs during lithiation/delithiation, buffering the volume change and trapping the dissolved transition metals. As a result, a high capacity of 175 mAh g−1 (equal to an outstanding volumetric capacity of 936 Ah L−1) with a greatly reduced capacity decay rate of 0.012% per cycle for 1000 cycles is achieved, which is superior to the NiFeOF porous film without HPL and commercially available NiF2‐FeF3 powders. The proposed chemical and structure reconstruction mechanism of HPL opens a new avenue for the novel materials development for long‐cycle LIBs. [ABSTRACT FROM AUTHOR]

This work demonstrates a new approach in using metal organic framework (MOF) materials to improve Li metal batteries, a burgeoning rechargeable battery technology. Instead of using the MIL‐125‐Ti MOF structure directly, the material is decomposed into intimately‐mixed amorphous titanium dioxide and crystalline terephthalic acid. The resulting composite material outperforms the oxide alone, the organic component alone, and the parent MOF in suppressing Li dendrite growth and extending cycle life of Li metal electrodes. Coated on a commercial polypropylene separator, this material induces the formation of a desirable solid electrolyte interphase layer comprising mechanically flexible organic species and ionically conductive lithium nitride species, which in turn leads to Li||Cu and Li||Li cells that can stably operate for hundreds of charging–discharging cycles. In addition, this material strongly adsorbs lithium polysulfides and can also benefit the cathode of lithium–sulfur batteries. [ABSTRACT FROM AUTHOR]

Abstract: Exploring materials with regulated local structures and understanding how the atomic motifs govern the reactivity and durability of catalysts are a critical challenge for designing advanced catalysts. Herein we report the tuning of the local atomic structure of nickel–iron layered double hydroxides (NiFe‐LDHs) by partially substituting Ni2+ with Fe2+ to introduce Fe‐O‐Fe moieties. These Fe2+‐containing NiFe‐LDHs exhibit enhanced oxygen evolution reaction (OER) activity with an ultralow overpotential of 195 mV at the current density of 10 mA cm−2, which is among the best OER catalytic performance to date. In‐situ X‐ray absorption, Raman, and electrochemical analysis jointly reveal that the Fe‐O‐Fe motifs could stabilize high‐valent metal sites at low overpotentials, thereby enhancing the OER activity. These results reveal the importance of tuning the local atomic structure for designing high efficiency electrocatalysts. [ABSTRACT FROM AUTHOR]

Alkaline HER, Atomic Charge Distribution, Interfacial Water Orientation, Single-Atom Site, Water Dissociation In their Research Article (e202300873), Emiliano Cortés et al. designed an atomically asymmetric local electric field using Ir-Ru dizygotic single-atom sites (IrRu DSACs) to optimize the dissociation process by tuning the H SB 2 sb O adsorption configuration and orientation. Keywords: Alkaline HER; Atomic Charge Distribution; Interfacial Water Orientation; Single-Atom Site; Water Dissociation EN Alkaline HER Atomic Charge Distribution Interfacial Water Orientation Single-Atom Site Water Dissociation 1 1 1 06/20/23 20230626 NES 230626 B Alkaline water electrolysis b is a promising technology for hydrogen production, but the slow water dissociation process limits the kinetics of the hydrogen evolution reaction (HER). [Extracted from the article]

Keywords: Alkaline HER; Atomic Charge Distribution; Interfacial Water Orientation; Single-Atom Site; Water Dissociation EN Alkaline HER Atomic Charge Distribution Interfacial Water Orientation Single-Atom Site Water Dissociation 1 1 1 06/20/23 20230626 NES 230626 B Alkaline water electrolysis b is a promising technology for hydrogen production, but the slow water dissociation process limits the kinetics of the hydrogen evolution reaction (HER). In their Research Article (e202300873), Emiliano Cortés and co-workers designed an atomically asymmetric local electric field using IrRu dizygotic single-atom sites (IrRu DSACs) to optimize the dissociation process by tuning the H SB 2 sb O adsorption configuration and orientation. Inside Back Cover: Atomically Local Electric Field Induced Interface Water Reorientation for Alkaline Hydrogen Evolution Reaction (Angew. [Extracted from the article]