Advanced Functional Materials最新文献_第5页

Jahn–Teller Distortion Triggers Unconventional Molecular O2 Formation in P2-Type Na0.67MnO2 Cathodes Jahn-Teller畸变触发p2型Na0.67MnO2阴极中非常规分子O2的形成

IF 19 1区材料科学

Advanced Functional Materials Pub Date : 2026-10-19 DOI: 10.1002/adfm.79149

Yang Yu,Huibo Wang,Qingyuan Li,Deniz Wong,Ruoyu Wang,Tianran Zhang,Lirong Zheng,Xiangfeng Liu

引用次数: 0

Nitrobenzo Crown Ether Enables Stable Interphases in Lithium Metal Batteries 硝基苯冠醚使锂金属电池的界面稳定

IF 19 1区材料科学

Advanced Functional Materials Pub Date : 2026-10-19 DOI: 10.1002/adfm.79065

Zihui Liu,Qiuyan Li,Huijuan Ma,Chao Peng,Xue-Feng Yu,Jiahong Wang

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Emergence of a Hexagonal Fe2S2 Single Layer Without a Bulk Counterpart via Phase Transformation 通过相变制备无体相对应的六方Fe2S2单层

IF 19 1区材料科学

Advanced Functional Materials Pub Date : 2026-10-19 DOI: 10.1002/adfm.79001

Affan Safeer,Wejdan Beida,Felix Oberbauer,Nicolae Atodiresei,Gustav Bihlmayer,Max Wolfertz,Chiara Schlichte,Wouter Jolie,Stefan Blügel,Jeison Fischer,Thomas Michely

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Suppression and Reemergence of Directional Transport across the Ferromagnetic Transition in SrRuO3 SrRuO3铁磁跃迁中定向输运的抑制与再现

IF 19 1区材料科学

Advanced Functional Materials Pub Date : 2026-10-19 DOI: 10.1002/adfm.79104

Smriti Bhatia,Neha Sharma,Srishti Bhardwaj,Shruti Roy,Dirk Fuchs,Tulika Maitra,Vivek Kumar Malik,Kaushik Sen

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Hydrogen-Bond-Network Enables Near-Coplanar Fluorooxoborates with Large Deep-Ultraviolet Birefringence 氢键网络使近共面氟硼酸盐具有大的深紫外双折射

IF 19 1区材料科学

Advanced Functional Materials Pub Date : 2026-10-18 DOI: 10.1002/adfm.79102

Chunjie Shen,Zhihua Yang,Shilie Pan,Feng Zhang

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Bio-Derived Polyurethane Ionoelastomers With Hierarchical Dynamic Networks for Ultrawide-Range Iontronic Pressure Sensing 具有超宽范围离子电子压力传感分层动态网络的生物衍生聚氨酯离子弹性体

IF 19 1区材料科学

Advanced Functional Materials Pub Date : 2026-10-18 DOI: 10.1002/adfm.79135

Chen-Yu Wang,Hai-Sen Yang,Wen-Tao Wang,Xue Feng,Xin-Yu Lin,Jia-Hao Guo,Ze-Xu Yang,Ruo-Yu Sun,Ke-Zheng Chen,Tingrui Pan,Sheng-Lin Qiao

引用次数: 0

Paving the Way for Next-Generation Solid-State Waste Heat Recovery: A Thermomagnetic Materials and Systems Roadmap 为下一代固态废热回收铺平道路：热磁材料和系统路线图

IF 19 1区材料科学

Advanced Functional Materials Pub Date : 2026-10-18 DOI: 10.1002/adfm.78789

A. Waske,K. Klinar,S. Fähler,M. Kohl,N. M. Dempsey,F. Albertini,G. A. de Wijs,T. Schrefl,M. Maschek,S. Lionte,C. Megnin,N. van Dijk,A. Kitanovski,E. Brück

引用次数: 0

Additive Manufacturing for Sustainable Electromagnetic Interference Shielding: Materials Discovery, Structural Optimization, and Machine Learning 可持续电磁干扰屏蔽的增材制造：材料发现、结构优化和机器学习

IF 19.9 1区材料科学

Advanced Functional Materials Pub Date : 2026-10-17 Epub Date: 2026-09-07 DOI: 10.1002/adfm.77638

Roxana Moaref, Christopher M. Spezzano, Grace X. Gu, Uttandaraman Sundararaj

{"title":"Additive Manufacturing for Sustainable Electromagnetic Interference Shielding: Materials Discovery, Structural Optimization, and Machine Learning","authors":"Roxana Moaref, Christopher M. Spezzano, Grace X. Gu, Uttandaraman Sundararaj","doi":"10.1002/adfm.77638","DOIUrl":"10.1002/adfm.77638","url":null,"abstract":"<div>\u0000 \u0000 <p>The rapid expansion of wireless technologies has intensified the need for effective electromagnetic interference (EMI) shielding to ensure the reliability of electronic devices, while the increasing generation of electronic and plastic waste has created a demand for sustainable and environmentally friendly shielding materials. Additive manufacturing (AM) offers unprecedented freedom to design and fabricate highly tailored EMI shields, enabling precise control over structure, composition, and performance. This review highlights recent progress in the development of AM-based EMI shields using recycled, bio-based, and environmentally-friendly materials. We explore how structural design and optimization strategies influence both electromagnetic wave attenuation and mechanical integrity, and discuss the emerging role of simulation and machine learning (ML) in performance prediction and design acceleration. Life cycle assessment (LCA) challenges are examined, along with sustainable manufacturing pathways to minimize environmental impact. We conclude with future perspectives, emphasizing the transformative potential of AM to advance next-generation, high-performance, and sustainable EMI shielding solutions.</p>\u0000 </div>","PeriodicalId":112,"journal":{"name":"Advanced Functional Materials","volume":"36 83","pages":""},"PeriodicalIF":19.9,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Bridging the Gap: A Multi-Scale Review of Active On/Off Valves 弥合差距：主动开关阀的多尺度回顾

IF 19.9 1区材料科学

Advanced Functional Materials Pub Date : 2026-10-17 Epub Date: 2026-09-07 DOI: 10.1002/adfm.78087

Zijie Meng, Hanfeng Zhang, Jiasheng Wang, Zhi Qiu, Mingjun Qiu, Junhui Zhang, Bing Xu, Zebing Mao

{"title":"Bridging the Gap: A Multi-Scale Review of Active On/Off Valves","authors":"Zijie Meng, Hanfeng Zhang, Jiasheng Wang, Zhi Qiu, Mingjun Qiu, Junhui Zhang, Bing Xu, Zebing Mao","doi":"10.1002/adfm.78087","DOIUrl":"10.1002/adfm.78087","url":null,"abstract":"<div>\u0000 \u0000 <p>Active on/off valves serve as critical components for rapid flow switching in fluid systems, playing a vital role in industrial machinery, biochemical analysis, and soft robotics. As a pivotal performance metric, driving forces directly govern switching dynamics and regulation capacity of the overall system. However, existing reviews are typically confined to a single driving-force magnitude, leaving a gap in systematic summaries that span the full range from millinewtons (mN) to kilonewtons (kN). To bridge this gap, this review provides the first comprehensive synthesis of active on/off valve technologies across the entire driving force range. This paper delineates two distinct technological trajectories: high-driving-force valves (N–kN) are evolving toward high-frequency response with precision control of large flow rates, while low-driving-force valves (mN–N) are transitioning from basic flow regulation toward multifunctional integration, embedding self-sensing, self-healing, and self-powering capabilities. This review delves into the latest developments in actuation mechanisms, structural designs, substrate materials, and working media. Furthermore, the discussion extends to modeling methodologies, control strategies, and practical applications across various domains such as digital hydraulics, microfluidics, and soft robotics. Finally, this review identifies persistent challenges and proposes forward-looking perspectives to guide the development of next-generation high-performance active on/off valves.</p>\u0000 </div>","PeriodicalId":112,"journal":{"name":"Advanced Functional Materials","volume":"36 83","pages":""},"PeriodicalIF":19.9,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 Data-to-Interface Framework for AI-Guided Sodium-Ion Battery Materials Discovery: From Descriptors to Full-Cell Decisions 人工智能引导钠离子电池材料发现的数据到接口框架：从描述符到全电池决策

IF 19.9 1区材料科学

Advanced Functional Materials Pub Date : 2026-10-17 Epub Date: 2026-09-08 DOI: 10.1002/adfm.78284

Gang Chen, Hongyang Zhao, Junfeng Li, Wenjie Mai, Xingtao Xu, Yuquan Li, Hongxin Qi, Jinliang Li, Likun Pan

{"title":"A Data-to-Interface Framework for AI-Guided Sodium-Ion Battery Materials Discovery: From Descriptors to Full-Cell Decisions","authors":"Gang Chen, Hongyang Zhao, Junfeng Li, Wenjie Mai, Xingtao Xu, Yuquan Li, Hongxin Qi, Jinliang Li, Likun Pan","doi":"10.1002/adfm.78284","DOIUrl":"10.1002/adfm.78284","url":null,"abstract":"<div>\u0000 \u0000 <p>For sodium-ion batteries (SIBs), the central obstacle to artificial intelligence (AI)-guided discovery is not simply data volume or algorithm choice, but the conditional nature of electrochemical labels. Capacity, voltage, initial Coulombic efficiency (ICE), rate capability, and retention depend on synthesis, disorder, electrolyte, interphase, and cell format rather than composition alone. Existing SIB and AI-battery reviews are commonly organized by material class, value chain, or chemistry, but they rarely explain how a prediction becomes a defensible cell-level decision. This review develops a data-to-interface framework linking literature, computation, processing, electrolyte, and full-cell data to descriptors, models, mechanistic hypotheses, and validation under realistic constraints. Ordered cathodes are matched to voltage, phase stability, and Na-ion migration; hard carbon is treated as a disordered-anode case governed by precursor history, pore structure, storage mechanism, and electrolyte-sensitive interphases. Electrolytes and electrode/electrolyte interfaces define whether electrode-level predictions remain valid in practical cells. A structured assessment of representative studies shows that no study in the selected evidence set covers all seven metadata layers, with full-cell matching and interphase reporting as the most common gaps. We propose a sodium-specific minimum reporting profile for uncertainty-aware, descriptor-driven, and interface-validated decision-making.</p>\u0000 </div>","PeriodicalId":112,"journal":{"name":"Advanced Functional Materials","volume":"36 83","pages":""},"PeriodicalIF":19.9,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148902595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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