IF 13.3 2区材料科学

Small Pub Date : 2026-10-15 DOI: 10.1002/smll.76282

Yang‐Sheng Wang, Jin‐Xia Jiang, Di‐Wen Jiang, Xiang Xu, Hao‐Wen Zhang, Hao Chen, Ying Zhi, Li Wang, Zhe‐Sheng Feng, Yan Wang

{"title":"Hierarchically Engineered MXene/CMC‐Na Composites with Acetaminophen Modification for Self‐Powered Humidity Sensing","authors":"Yang‐Sheng Wang, Jin‐Xia Jiang, Di‐Wen Jiang, Xiang Xu, Hao‐Wen Zhang, Hao Chen, Ying Zhi, Li Wang, Zhe‐Sheng Feng, Yan Wang","doi":"10.1002/smll.76282","DOIUrl":"https://doi.org/10.1002/smll.76282","url":null,"abstract":"Humidity sensors have demonstrated significant potential for applications in wearable electronics, physiological monitoring, and environmental sensing. However, the practical implementation of humidity sensors is often limited by reliance on external power sources, making the development of self‐powered humidity sensing systems a considerable challenge. This work presents a hierarchical multi‐step modification strategy to fabricate an acetaminophen (AP)‐modified hydroxylated MXene/carboxymethylcellulose sodium (CMC‐Na) hybrid gel ink (AHMC) with integrated humidity sensing and self‐powered functionality. Theoretical calculations reveal that AHMC exhibits exceptional water adsorption capacity, characterized by a lower adsorption energy (−0.42 eV) and a shorter adsorption distance (1.69 Å) compared to MXene. The screen‐printed paper‐based AHMC humidity sensor (PB‐AHMC) demonstrates a rapid capacitive response (4.8/0.6 s) and remarkable response (73524%) with excellent bending stability and environmental durability. Furthermore, the PB‐AHMC‐based humidity sensor array (PCSA) accurately identifies various subtle respiratory abnormalities with the incorporation of machine learning algorithms. Significantly, a self‐powered sensor (SP‐AHMC) driven by redox reactions has been developed, achieving a broad detection range (11%–97% RH), exhibiting minimal hysteresis (1.0% RH), and delivering a peak output voltage of 0.43 V at 97% RH. Collectively, the AHMC‐based sensors demonstrate substantial potential for advancing applications in healthcare monitoring, non‐contact humidity detection, and self‐powered systems.","PeriodicalId":228,"journal":{"name":"Small","volume":"28 1","pages":""},"PeriodicalIF":13.3,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149172632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial Statistics for Screening Molecular Structures 筛选分子结构的空间统计

IF 13.3 2区材料科学

Small Pub Date : 2026-10-15 DOI: 10.1002/smll.76291

Pranoy Ray, Surya R. Kalidindi

{"title":"Spatial Statistics for Screening Molecular Structures","authors":"Pranoy Ray, Surya R. Kalidindi","doi":"10.1002/smll.76291","DOIUrl":"https://doi.org/10.1002/smll.76291","url":null,"abstract":"The dominant paradigm in computational materials discovery relies on heavily parameterized deep architectures, including message‐passing graph and equivariant networks, that typically require large density functional theory (DFT)‐labeled training sets and produce nonconvex latent representations complicating inverse design, a limitation in the data‐scarce regimes common to exploratory screening. Standard formulations also face specific difficulties with chemically disordered configurations and with distinguishing chiral geometries (e.g., ‐invariant models are reflection‐blind by construction). These are task‐ and formulation‐dependent tendencies, not universal deficiencies, and are reduced by pre‐training, transfer, and equivariant designs. This review presents spatial‐statistics feature engineering as a physically rigorous, deployable complement. Molecular structures are encoded as voxelized fields, and two‐point auto‐ and cross‐correlations are evaluated deterministically via Fast Fourier Transforms, moving spatial pattern recognition into a closed‐form, physics‐informed operation. Principal component analysis yields low‐dimensional, convex representations supporting lean neural networks and non‐parametric surrogates, achieving sub‐2% normalized errors from as little as 0.1% of the dataset in reported cases. Demonstrated across periodic crystals, disordered high‐entropy alloys, and non‐periodic molecules, the framework enables Bayesian active learning and zero‐shot extrapolation on commodity hardware, which remains challenging for large‐scale architectures at equal data budgets.","PeriodicalId":228,"journal":{"name":"Small","volume":"6 1","pages":""},"PeriodicalIF":13.3,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149172682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Large Language Model‐Assisted Prediction and Virtual Screening of Near‐Infrared‐II Fluorescent Molecules 大语言模型辅助预测和近红外荧光分子的虚拟筛选

IF 13.3 2区材料科学

Small Pub Date : 2026-10-15 DOI: 10.1002/smll.76251

Jun Wang, Haonan Wu, Jiahui Wang, Liwen Shi, Shu Gao, Yibin Wu, Chaoquan Lai, Haoran Wang, Luming Sun, Hangzheng Zhou, Yihua Qiu, Ruihu Song, Kun Qian, Zhen Cheng

{"title":"Large Language Model‐Assisted Prediction and Virtual Screening of Near‐Infrared‐II Fluorescent Molecules","authors":"Jun Wang, Haonan Wu, Jiahui Wang, Liwen Shi, Shu Gao, Yibin Wu, Chaoquan Lai, Haoran Wang, Luming Sun, Hangzheng Zhou, Yihua Qiu, Ruihu Song, Kun Qian, Zhen Cheng","doi":"10.1002/smll.76251","DOIUrl":"https://doi.org/10.1002/smll.76251","url":null,"abstract":"Fluorescence imaging in the second near‐infrared window (NIR‐II, 1000–1700 nm) has attracted increasing attention in biomedical applications owing to its deep tissue penetration, high spatial resolution, and low background autofluorescence. However, the rational optimization of high‐performance NIR‐II fluorophores remains challenging because of the complex relationship between molecular structure and optical properties. In this study, we integrated existing fluorescence datasets with NIR‐II fluorophore data to construct a comprehensive dataset covering maximum emission wavelengths from the visible region to the NIR‐II window. Based on this dataset, we developed a large language model (LLM)‐based framework for predicting molecular maximum emission wavelengths and compared its performance with conventional machine learning and deep learning models. The results demonstrated that the LLM achieved competitive predictive performance compared with the baseline models, highlighting the feasibility of LLM‐based structure–property prediction for fluorescent molecules. Model‐guided virtual screening was subsequently performed to prioritize candidate NIR‐II fluorophores, leading to the identification of two promising candidates that were experimentally characterized and exhibited favorable imaging performance in vitro and in vivo. Overall, this study demonstrates the feasibility of LLM‐assisted structure–property prediction and virtual screening for NIR‐II fluorophores, providing an efficient computational strategy for candidate prioritization and molecular optimization.","PeriodicalId":228,"journal":{"name":"Small","volume":"13 1","pages":""},"PeriodicalIF":13.3,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149172683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Molybdenum‐Enhanced Conductivity and Nickel Electron Density Synergizing With Phosphorus‐Induced Oxygen Vacancies in NiMo‐Based Heterostructures for Efficient Electrooxidation of 5‐Hydroxymethylfurfural 钼增强电导率和镍电子密度与镍基异质结构中磷诱导的氧空位协同作用用于5 -羟甲基糠醛的高效电氧化

IF 13.3 2区材料科学

Small Pub Date : 2026-10-14 DOI: 10.1002/smll.75896

Zengji Yao, Mengchu Yuan, Yapeng Jia, Ying Han, Xing Wang, Wudeng Wang, Zihao Ma

{"title":"Molybdenum‐Enhanced Conductivity and Nickel Electron Density Synergizing With Phosphorus‐Induced Oxygen Vacancies in NiMo‐Based Heterostructures for Efficient Electrooxidation of 5‐Hydroxymethylfurfural","authors":"Zengji Yao, Mengchu Yuan, Yapeng Jia, Ying Han, Xing Wang, Wudeng Wang, Zihao Ma","doi":"10.1002/smll.75896","DOIUrl":"https://doi.org/10.1002/smll.75896","url":null,"abstract":"5‐Hydroxymethylfurfural (HMF) can be electrocatalytically oxidized to 2,5‐furandicarboxylic acid (FDCA) with concurrent hydrogen evolution, providing a sustainable route for biomass valorization and clean energy generation. In this study, we synthesized a three‐dimensional nanorod heterostructured catalyst composed of NiMoO 4 and NiMoP 2 directly on nickel foam (NiMoP@NF) via a one‐step hydrothermal method. Mo doping effectively enhanced the material's electrical conductivity and increased the electron cloud density around Ni active sites, while P doping introduced abundant oxygen vacancies and modulated the catalyst's electronic structure, thereby strengthening interfacial electronic coupling and optimizing the adsorption energies of reaction intermediates. Electrochemical testing shows that NiMoP@NF exhibits outstanding HMF oxidation activity: at 1.50 V vs. RHE, HMF conversion approaches 100%, FDCA yield reaches 97%, and the Faradaic efficiency is 96.8%. Mechanistic analysis indicates that the Ni 3+ /Ni 2+ redox couple serves as the active center, while phosphorus doping improves adsorption energies and lowers the activation barrier of the rate‐determining step. This work presents a high‐performance, non‐precious electrocatalyst for biomass upgrading and offers design principles for heterostructured catalysts in integrated energy systems.","PeriodicalId":228,"journal":{"name":"Small","volume":"6 1","pages":""},"PeriodicalIF":13.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149172786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Serum‐Resistant Plasma Membrane Probe for Real‐Time Visualization of Pathogen‐Induced Epithelial Barrier Dysfunction 血清抗性质膜探针用于病原体诱导的上皮屏障功能障碍的实时可视化

IF 13.3 2区材料科学

Small Pub Date : 2026-10-14 DOI: 10.1002/smll.76144

Yujeong Choi, Sunhwa Jung, Dong Min Kang, Lizaveta Gotina, Minji Kim, Eunmi Ha, Sungsu Lim, Ae Nim Pae, Jaeson Jang, Evgeni Ponimaskin, Ja‐Hyun Baik, Sun‐Joon Min, Yun Kyung Kim

{"title":"A Serum‐Resistant Plasma Membrane Probe for Real‐Time Visualization of Pathogen‐Induced Epithelial Barrier Dysfunction","authors":"Yujeong Choi, Sunhwa Jung, Dong Min Kang, Lizaveta Gotina, Minji Kim, Eunmi Ha, Sungsu Lim, Ae Nim Pae, Jaeson Jang, Evgeni Ponimaskin, Ja‐Hyun Baik, Sun‐Joon Min, Yun Kyung Kim","doi":"10.1002/smll.76144","DOIUrl":"https://doi.org/10.1002/smll.76144","url":null,"abstract":"The plasma membrane is a dynamic biointerface, yet its long‐term visualization under physiological culture conditions remains challenging. Conventional plasma membrane probes often suffer from progressive intracellular internalization and nonspecific serum‐associated fluorescence. Herein, we report PM580, a serum‐resistant fluorogenic probe that enables long‐term, wash‐free, and surface‐confined plasma membrane imaging in live cells. PM580 remains weakly emissive as quenched supramolecular assemblies in aqueous media but becomes strongly fluorescent upon redistribution into lipid bilayers. Structure–property analysis and molecular modeling suggest that the carboxylic acid‐containing acceptor may serve as an interfacial positioning element that favors a membrane‐inserted orientation, whereas excessive alkyl‐chain extension promotes intracellular accumulation and compromises surface selectivity. This balanced architecture enables strong plasma membrane activation with minimal responses to serum albumin or mucin, allowing direct imaging in complete medium and mucin‐rich intestinal epithelial monolayers. PM580 further enabled real‐time visualization of junctional disruption, membrane tethering, and cell–cell dissociation induced by P. gingivalis conditioned medium. These findings identify a favorable structural balance that supports serum‐compatible and long‐term plasma membrane imaging.","PeriodicalId":228,"journal":{"name":"Small","volume":"30 1","pages":""},"PeriodicalIF":13.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149172793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Charge‐Domain In‐Memory Computing With NAND‐Compatible Ferroelectric Memcapacitor Crossbar 电荷域内存计算与NAND兼容的铁电Memcapacitor Crossbar

IF 13.3 2区材料科学

Small Pub Date : 2026-10-14 DOI: 10.1002/smll.76242

Hwiho Hwang, Junsu Yu, Sangwook Youn, Dahoon Lee, Hyungjin Kim

{"title":"Charge‐Domain In‐Memory Computing With NAND‐Compatible Ferroelectric Memcapacitor Crossbar","authors":"Hwiho Hwang, Junsu Yu, Sangwook Youn, Dahoon Lee, Hyungjin Kim","doi":"10.1002/smll.76242","DOIUrl":"https://doi.org/10.1002/smll.76242","url":null,"abstract":"Rapid growth in artificial intelligence has intensified the need for energy‐efficient computing architectures beyond the conventional von Neumann paradigm. While memristive in‐memory computing has attracted significant attention, its low cell resistance causes static power consumption, IR‐drop‐induced errors, and scalability limitations. Here, we demonstrate a NAND‐compatible ferroelectric memcapacitor crossbar for scalable and energy‐efficient in‐memory computing. The proposed architecture employs charge‐domain operation with intrinsically high cell resistance, strongly suppressing static conduction and reducing energy consumption. Optimized device design enables a large charge memory window, reliable multilevel storage, and non‐destructive readout. Experimental vector–matrix multiplication (VMM) exhibits highly linear behavior due to displacement‐current‐based computation, which alleviates IR‐drop effects. Circuit‐level validation confirms practical sensing feasibility, while parasitic‐aware SPICE simulations based on a 3D NAND architecture verify robust operation under deeply stacked conditions. Finally, CIFAR‐10 image classification and spiking neural network inference highlight the strong potential of ferroelectric memcapacitor arrays as a scalable platform for energy‐efficient neuromorphic and in‐memory computing applications.","PeriodicalId":228,"journal":{"name":"Small","volume":"15 1","pages":""},"PeriodicalIF":13.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149172788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

3D Microfluidic Networks Formed by Mechanically Guided Compressive Buckling for Large‐Scale Perfused Tissue Culture 大规模灌注组织培养中机械引导压缩屈曲形成的三维微流体网络

IF 13.3 2区材料科学

Small Pub Date : 2026-10-14 DOI: 10.1002/smll.202512229

Hongyun Zhang, Xu Cheng, Zhiruo Yuan, Xingting Han, Zhangming Shen, Siyuan Li, Yanghuan Zheng, Shuzheng Gu, Xiaoqiang Bai, Mengdi Han, Dan Zhang, Xiumei Wang, Yihui Zhang, Longwei Lv, Yongsheng Zhou, Luning Wang, Shenglian Yao

{"title":"3D Microfluidic Networks Formed by Mechanically Guided Compressive Buckling for Large‐Scale Perfused Tissue Culture","authors":"Hongyun Zhang, Xu Cheng, Zhiruo Yuan, Xingting Han, Zhangming Shen, Siyuan Li, Yanghuan Zheng, Shuzheng Gu, Xiaoqiang Bai, Mengdi Han, Dan Zhang, Xiumei Wang, Yihui Zhang, Longwei Lv, Yongsheng Zhou, Luning Wang, Shenglian Yao","doi":"10.1002/smll.202512229","DOIUrl":"https://doi.org/10.1002/smll.202512229","url":null,"abstract":"Engineered tissues and organoids offer transformative potential for drug screening and regenerative medicine, yet their application is constrained by limited size and slow maturation. Despite the development of various channel networks for large‐scale engineered tissue perfusion culture, achieving sufficiently dense, architecturally complex networks with microscale channels in large‐scale matrix has remained challenging. In this work, we introduce a design and fabrication strategy for creating intricate three‐dimensional microfluidic networks (3D MFNs) within centimeter‐scale cell‐laden hydrogels using sacrificial 3D‐assembled templates. A theoretical model was established to inversely design 3D MFNs with target architectures by optimizing the two‐dimensional (2D) geometries of precursor structures and applying compressive strains for mechanically‐guided 3D assembly. Multiple types of 3D MFNs were presented, including interconnected ribbons, ribbon‐film hybrids, and multilayer networks. In particular, a dendritic MFN template was embedded within a 1‐centimeter cell‐laden 12 wt.% GelMA hydrogel, where template dissolution yielded robust microchannels that enabled efficient nutrient transport and supported cell survival and differentiation in vitro. Moreover, when implanted in vivo, the dendritic MFN functioned as a passageway for nutrient delivery and endogenous cell migration into the hydrogel, significantly enhancing cell survival. This strategy provides a versatile platform for large‐scale 3D tissue culture and targeted tissue differentiation.","PeriodicalId":228,"journal":{"name":"Small","volume":"49 1","pages":""},"PeriodicalIF":13.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149172792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine Learning for Programmable Nanosystems: From Liposome Formulation to DNA Origami and Hybrid Vesicles 可编程纳米系统的机器学习：从脂质体配方到DNA折纸和杂交囊泡

IF 13.3 2区材料科学

Small Pub Date : 2026-10-14 DOI: 10.1002/smll.76157

Daniel Q. Zhang, Matthew A. B. Baker

引用次数: 0

Water–Responsive Porous Polydimethylsiloxane Triboelectric Nanogenerator With Complementary Optical Modulation and Droplet Sensing Water-Responsive多孔聚二甲硅氧烷摩擦电王中林教授补充光学调制和液滴传感

IF 13.3 2区材料科学

Small Pub Date : 2026-10-14 DOI: 10.1002/smll.76226

Quanyu He, Hyunwoo Cho, Jonghyun Yun, Inkyum Kim, Daewon Kim

{"title":"Water–Responsive Porous Polydimethylsiloxane Triboelectric Nanogenerator With Complementary Optical Modulation and Droplet Sensing","authors":"Quanyu He, Hyunwoo Cho, Jonghyun Yun, Inkyum Kim, Daewon Kim","doi":"10.1002/smll.76226","DOIUrl":"https://doi.org/10.1002/smll.76226","url":null,"abstract":"Distributed sensing systems with reduced maintenance and enhanced multifunctionality are increasingly required for smart buildings enabled by the Internet of Things. Herein, a transmittance‐shifting triboelectric nanogenerator (TS‐TENG) providing complementary droplet‐induced electrical sensing and water–responsive optical modulation is proposed. The device consists of porous polydimethylsiloxane (PDMS) on indium tin oxide glass, enabling reversible transparency regulation through water infiltration and release within the porous structure. The optical transmittance decreases from 84.80% in the transparent state to 46.67% after water infiltration, producing a hazy appearance. In parallel, droplet impacts are converted into electrical signals for real‐time sensing, and stable output is maintained under continuous operation after optimization of the droplet‐impact conditions. The transient electrical response enables rapid detection of droplet impacts, whereas the reversible transmittance change indicates sustained water infiltration within the porous layer. These mechanistically distinct but complementary responses are realized within a single porous PDMS‐based device without requiring a separate optically active material, providing a dual‐response platform for water‐responsive sensing and optical wet‐state indication.","PeriodicalId":228,"journal":{"name":"Small","volume":"30 1","pages":""},"PeriodicalIF":13.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149172960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

“‐NH‐” Homologation Driven Self‐Exfoliated Bipolar Covalent Organic Nanosheet as Dual‐Ion Binding Anode for High‐Performance Aqueous Zinc‐Based Dual‐Ion Battery “- NH -”同源驱动的自剥离双极性共价有机纳米片作为高性能锌基双离子电池的双离子结合阳极

IF 13.3 2区材料科学

Small Pub Date : 2026-10-14 DOI: 10.1002/smll.76259

Sourav Kumar Sarkar, Rahul Sarkar, Ashish Kumar Maharana, Gaurav Jhaa, Matthew A. Addicoat, Mrutyunjaya Majhi, Sanjib Das

{"title":"“‐NH‐” Homologation Driven Self‐Exfoliated Bipolar Covalent Organic Nanosheet as Dual‐Ion Binding Anode for High‐Performance Aqueous Zinc‐Based Dual‐Ion Battery","authors":"Sourav Kumar Sarkar, Rahul Sarkar, Ashish Kumar Maharana, Gaurav Jhaa, Matthew A. Addicoat, Mrutyunjaya Majhi, Sanjib Das","doi":"10.1002/smll.76259","DOIUrl":"https://doi.org/10.1002/smll.76259","url":null,"abstract":"Rechargeable aqueous zinc‐ion batteries (AZIBs) offer safe, low‐cost, and sustainable alternatives to lithium‐ion systems. However, dendritic Zn growth downgrades Coulombic efficiency and cycling stability, limiting their practical deployment. Replacing Zn‐metal anodes with reversible organic anodes capable of efficient Zn 2+ storage with average discharge voltage below 0.6 V (vs Zn/Zn 2+ ) is superior yet challenging. Herein, we report a self‐exfoliated bipolar few‐layer polyimide‐based covalent organic nanosheet ( tht ‐NDA‐PI‐CON ) as anode, synthesized via solvent‐free organic flux route using “‐NH‐” homologation strategy, which promotes self‐exfoliation by introducing structural flexibility while simultaneously generating electron‐rich sp 3 ‐NH centres, acting as electronic buffer in between carbonyl and triazine units constructing a bipolar framework, enabling low‐energy barrier dual‐ion binding kinetics. The porous nanosheet, enriched with redox centres delivers 185 mAh g −1 at 0.2 A g −1 (84.6% contributes from single discharge plateau), high‐rate capability (78.6% retention/5 A g −1 ), and 81% capacity retention over 5000 cycles. Ex situ analyses and first‐principles calculations reveal Zn 2+ coordination with carbonyl and triazine sites during discharge, while SO 4 2− is stabilized by homologated ‐NH‐ unit upon charging. When paired with MnO 2 , full cell delivers record energy density of 82.73 Wh kg −1 with 84.8% capacity retention over 3000 cycles, demonstrating its potential for next‐generation Zn‐based dual‐ion battery technologies.","PeriodicalId":228,"journal":{"name":"Small","volume":"10 1","pages":""},"PeriodicalIF":13.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149172747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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