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Advancing freestanding oxide films: innovations in preparation methods and physical properties 推进独立氧化膜:制备方法和物理性质的创新
IF 4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-03-01 Epub Date: 2025-11-13 DOI: 10.1016/j.pmatsci.2025.101612
Jie Gong , YanBo Yang , Jiangbo Luo , Wenxing Lv , Junxiong Hu , Yanrong Li , Liang Qiao
Freestanding oxide thin films, released from the constraints of substrate interfacial bonding, exhibit unprecedented structural and property tunability that surpasses conventional epitaxial films. Through van der Waals integration − particularly via hybridization with 2D materials − these films enable novel electronic devices and offer a compelling approach for advancing complementary metal–oxide–semiconductor (CMOS) technology. However, challenges such as large-scale fabrication, transfer-induced damage, optimization of sacrificial layers, and long-term film stability of freestanding oxide films must be addressed to fully realize their potential. In this review, we summarize recent advances in the preparation of freestanding oxide thin films using physical exfoliation and chemical etching techniques. We specifically examine and compare three major types of sacrificial layers used in chemical etching to obtain freestanding films. Additionally, we explore their properties across seven key areas: Stability, ferroelectricity, magnetism, superconductivity, electrical properties, flexibility, and optical characteristics. Finally, we discuss the current challenges in these emerging fields and offer forward-looking perspectives for future developments. This review aims to provide a comprehensive overview of the state-of-the-art research on freestanding thin films, offering valuable insights into future investigations.
独立氧化物薄膜,从衬底界面键合的限制中解放出来,表现出前所未有的结构和性能可调性,超越了传统的外延薄膜。通过范德华集成-特别是通过与2D材料的杂交-这些薄膜使新型电子器件成为可能,并为推进互补金属氧化物半导体(CMOS)技术提供了一种引人注目的方法。然而,为了充分发挥其潜力,必须解决诸如大规模制造、转移引起的损伤、牺牲层的优化以及独立氧化膜的长期膜稳定性等挑战。本文综述了近年来利用物理剥离和化学蚀刻技术制备独立氧化薄膜的研究进展。我们特别研究和比较了化学蚀刻中用于获得独立薄膜的三种主要类型的牺牲层。此外,我们探索了它们在七个关键领域的特性:稳定性、铁电性、磁性、超导性、电性能、柔韧性和光学特性。最后,我们讨论了这些新兴领域当前面临的挑战,并对未来的发展提出了前瞻性的观点。本文旨在对独立薄膜的最新研究进行全面概述,为未来的研究提供有价值的见解。
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引用次数: 0
Advancements in cathode materials for dual-ion batteries 双离子电池正极材料研究进展
IF 4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-03-01 Epub Date: 2025-11-03 DOI: 10.1016/j.pmatsci.2025.101600
Zhiqin Sun , Honglei Jiang , Pei Liu, Ting Jin, Lifang Jiao
Different from traditional batteries, dual-ion batteries (DIBs) operate via a mechanism in which both cations and anions actively participate in electrochemical reactions at their respective electrodes. This distinctive feature enables DIBs to achieve higher operating voltages, leading to greater energy output. Given that cathode materials play a pivotal role in anion storage, their performance directly determines the overall efficiency of DIBs. However, the limited specific capacity and poor interfacial stability of cathodes remain bottlenecks that hinder the advancement of DIBs. Therefore, a systematic evaluation and comprehensive overview of recent research progress are critically needed. In this review, we analyze the key challenges faced by cathode materials in DIBs and highlight strategies employed to optimize these materials for enhanced anion storage. By consolidating recent research insights, this review aims to guide the development of high-performance DIBs.
与传统电池不同的是,双离子电池(DIBs)是通过阳离子和阴离子在各自的电极上参与电化学反应的机制发挥作用的。这种独特的特性使dib能够实现更高的工作电压,从而产生更大的能量输出。由于阴极材料在阴离子存储中起着关键作用,其性能直接决定了dib的整体效率。然而,阴极有限的比容量和较差的界面稳定性仍然是阻碍dib发展的瓶颈。因此,对最近的研究进展进行系统的评价和全面的综述是必要的。在这篇综述中,我们分析了dib中阴极材料目前面临的挑战,并重点介绍了优化这些材料以增强阴离子存储的策略。通过综合这些见解,本文旨在指导高性能dib的开发。
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引用次数: 0
A constructive perspective on ionic self-powered pressure sensing 离子自供电压力传感的建设性观点
IF 4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-03-01 Epub Date: 2025-10-30 DOI: 10.1016/j.pmatsci.2025.101595
Mingfang Deng, Ziqi Ren, Jianyu Yin, Xubin Zhou, Liangxian Wang, Nishuang Liu
The growing demand from flexible and wearable electronic systems for devices that simultaneously offer autonomous energy supply and high-sensitivity pressure sensing has accelerated the development of self-powered pressure sensors. Although substantial research has been conducted on either energy harvesting or pressure sensing mechanisms, most efforts have primarily focused on performance enhancement, lacking a systematic examination of the coupling between energy conversion and pressure response processes. This absence of integration logic hinders the rational design of fully functional devices. This review centers on the critical intersection of ionic materials, self-powered energy conversion, and pressure sensing. It systematically summarizes ion-involved energy harvesting mechanisms such as triboelectric, piezoionic, along with pressure sensing methods that can be coupled with them. Structural design approaches, including porous architectures, gradient structures and so on , are further examined for their roles in enhancing ion transport regulation. Finally, the review outlines current applications in intelligent tactile interfaces, human communication aids, and other related areas. By adopting a unified perspective that connects mechanism, structure, and function, this work proposes a scalable design strategy for self-powered pressure sensors, offering a conceptual framework for future device development and system-level integration.
灵活和可穿戴电子系统对同时提供自主能源供应和高灵敏度压力传感的设备的需求不断增长,加速了自供电压力传感器的发展。尽管已经对能量收集或压力传感机制进行了大量研究,但大多数努力主要集中在性能增强上,缺乏对能量转换和压力响应过程之间耦合的系统检查。这种集成逻辑的缺失阻碍了功能齐全的器件的合理设计。本文综述了离子材料、自供电能量转换和压力传感的关键交叉点。它系统地总结了离子涉及的能量收集机制,如摩擦电,压电离子,以及可以与它们耦合的压力传感方法。结构设计方法,包括多孔结构、梯度结构等,进一步研究了它们在增强离子传输调节中的作用。最后,综述概述了目前在智能触觉界面、人类交流辅助和其他相关领域的应用。通过采用连接机制、结构和功能的统一视角,本研究提出了一种可扩展的自供电压力传感器设计策略,为未来的设备开发和系统级集成提供了概念框架。
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引用次数: 0
A review of deep learning in metal additive manufacturing: Impact on process, structure, and properties 深度学习在金属增材制造中的应用综述:对工艺、结构和性能的影响
IF 4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-03-01 Epub Date: 2025-10-06 DOI: 10.1016/j.pmatsci.2025.101587
Yang Du , Tuhin Mukherjee , Runsheng Li , Zejiang Hou , Samik Dutta , Craig B. Arnold , Alaa Elwany , Sunyuan Kung , Jiliang Tang , Tarasankar DebRoy
Deep learning (DL) is increasingly used to predict and control the formation of microstructures, optimize properties, and reduce defects in additively manufactured metallic components. This review examines the specific applications of deep learning in additive manufacturing (AM), such as part design and architecture, in-situ process sensing and monitoring, microstructure and property control, defect detection, and the mitigation of residual stress and distortion. The review emphasizes the significance of computational resources, data requirements, and the role of physics-informed deep learning in advancing these applications. Additionally, best practices for algorithm selection and dataset suitability are addressed, along with current research gaps that hinder progress, including challenges in understanding AM processes and enhancing computational efficiency. Finally, the outlook presents future directions for research, underscoring the importance of real-time implementation and model interpretability. This work aims to provide a foundational framework for researchers and practitioners looking to leverage deep learning in the evolving field of additive manufacturing.
深度学习(DL)越来越多地用于预测和控制微结构的形成、优化性能和减少增材制造金属部件的缺陷。本文综述了深度学习在增材制造(AM)中的具体应用,如零件设计和结构、原位过程传感和监测、微观结构和性能控制、缺陷检测以及残余应力和变形的缓解。该综述强调了计算资源、数据需求的重要性,以及物理信息深度学习在推进这些应用中的作用。此外,还讨论了算法选择和数据集适用性的最佳实践,以及阻碍进展的当前研究差距,包括理解增材制造过程和提高计算效率方面的挑战。最后,展望了未来的研究方向,强调了实时实现和模型可解释性的重要性。这项工作旨在为希望在不断发展的增材制造领域利用深度学习的研究人员和实践者提供一个基础框架。
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引用次数: 0
Organic coating failure and monitoring in atmospheric corrosion: from mechanisms to applications 大气腐蚀中的有机涂层失效和监测:从机理到应用
IF 4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-03-01 Epub Date: 2025-10-21 DOI: 10.1016/j.pmatsci.2025.101592
Xianlian Mu , Tao Jin , Pengfei Xie , Rongcao Yu , Shengnan Hu , Bin Li , Lei Li , Xin Yuan
The failure of organic coatings protecting metal structures in aerospace and marine engineering under atmospheric corrosion has become a critical threat to structural safety. The NACE report indicates that 38 % of global corrosion costs stem from coating failure. This data is directly associated with the accelerated failure of the coating’s physical barrier caused by Cl in the marine atmosphere (diffusion coefficient D ≈ 5 × 10−11 cm2/s). This review focuses on organic coatings for metal structures and constructs a systematic scenario-mechanism-technology-model framework: ① Analyze three core environmental characteristics—electrochemical catalytic effects of SO2/NOx in industrial atmospheres, deliquescence-crystallization cycles of Cl in marine atmospheres, and synergistic effects of hypoxia, low temperature, and intense UV in aerospace high-altitude environments; ② Reveal multi-scale failure mechanisms: molecular-level degradation (e.g., ester bond hydrolysis in epoxy resins, C-F bond cleavage in fluorocarbon coatings), microscale defect propagation, and macroscopic delamination, establishing a medium penetration-interface reaction-structural deterioration failure clock model; ③ Compare monitoring technologies (EIS has a 12 % false negative rate in marine environments, SKP achieves 89 % accuracy in aerospace interface debonding early warning) and evaluate prediction models (Arrhenius empirical model shows > 20 % error at high temperatures, LSTM-GARCH model achieves < 10 % error under multi-factor conditions). Key bottlenecks identified include: lack of cross-scale modeling for multi-factor synergistic failure, engineering obstacles for self-healing smart coatings, and heavy data dependence of AI models. Future research should focus on quantifying physical-electrochemical coupling mechanisms and integrating fiber optic sensing with digital twins to provide lifecycle protection for high-end equipment coatings.
航空航天和海洋工程中保护金属结构的有机涂层在大气腐蚀作用下的失效已成为威胁结构安全的重要问题。NACE报告指出,全球38%的腐蚀成本源于涂层失效。这一数据与海洋大气中Cl−引起的涂层物理屏障加速失效(扩散系数D≈5 × 10−11 cm2/s)直接相关。本文以金属结构有机涂层为研究重点,构建了系统的场景-机制-技术-模型框架:①分析了工业大气中SO2/NOx的电化学催化效应、海洋大气中Cl−的潮解-结晶循环以及航空航天高空环境中缺氧、低温和强紫外线的协同效应三个核心环境特征;②揭示了多尺度失效机制:分子水平的降解(如环氧树脂中的酯键水解、氟碳涂料中的C-F键解理)、微观尺度的缺陷扩展、宏观层面的分层,建立了介质渗透-界面反应-结构劣化失效时钟模型;③比较监测技术(EIS在海洋环境中假阴性率为12%,SKP在航空航天界面剥离预警中准确率为89%)和评估预测模型(Arrhenius经验模型在高温条件下误差为20%,LSTM-GARCH模型在多因素条件下误差为10%)。确定的主要瓶颈包括:缺乏多因素协同故障的跨尺度建模,自我修复智能涂层的工程障碍,以及人工智能模型对数据的严重依赖。未来的研究应侧重于量化物理-电化学耦合机制,并将光纤传感与数字孪生相结合,为高端设备涂层提供生命周期保护。
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引用次数: 0
Innovative carbon-based materials for efficient hydrogen storage: A review of solid, gaseous, and liquid systems 用于高效储氢的创新碳基材料:固体、气体和液体系统综述
IF 4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-03-01 Epub Date: 2025-10-31 DOI: 10.1016/j.pmatsci.2025.101596
Jieduo Guan , Chengguang Lang , Xiangdong Yao
Hydrogen (H2) stands as a cornerstone of sustainable energy and an indispensable pathway toward achieving carbon neutrality. Yet, the advancement of the hydrogen economy is significantly impeded by challenges related to storage and transportation. Conventional storage strategies—primarily high-pressure gaseous storage—rely on expensive fiber-reinforced composite tanks that not only escalate costs but also suffer from low efficiency and notable safety concerns. This scenario underscores the critical need for hydrogen storage solutions that are safe, efficient, and economically viable. Carbon-based materials have emerged as a compelling alternative, offering robust hydrogen storage capabilities via both physical adsorption and chemical bonding. These materials promise enhanced safety and improved efficiency for hydrogen transport. This review comprehensively examines the state-of-the-art developments in hydrogen storage across three distinct categories of carbon-based materials: solid carbon materials, gaseous carbon dioxide (CO2) hydrogen carrier, and liquid organic hydrogen carriers. Moreover, it critically evaluates the reversibility of these storage mechanisms and explores their potential for commercial application, providing insight into their role in the future of the hydrogen economy. This refined exploration aims to guide future research at the intersection of material science and energy technology, fostering innovations that may eventually overcome the current barriers in hydrogen storage and utilization.
氢(H2)是可持续能源的基石,也是实现碳中和不可或缺的途径。然而,氢经济的发展受到与储存和运输相关的挑战的严重阻碍。传统的储存策略——主要是高压气体储存——依赖于昂贵的纤维增强复合材料储罐,这不仅增加了成本,而且效率低,而且存在明显的安全问题。这种情况强调了对安全、高效、经济可行的储氢解决方案的迫切需求。碳基材料已经成为一种引人注目的替代方案,通过物理吸附和化学键结合提供强大的储氢能力。这些材料有望提高氢气运输的安全性和效率。本文全面考察了三种不同类别的碳基材料在储氢方面的最新发展:固体碳材料、气态二氧化碳(CO2)氢载体和液态有机氢载体。此外,它批判性地评估了这些储存机制的可逆性,并探索了它们的商业应用潜力,为它们在未来氢经济中的作用提供了见解。这项精细化的探索旨在指导未来材料科学和能源技术交叉领域的研究,促进创新,最终克服目前氢储存和利用方面的障碍。
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引用次数: 0
Bioinspired waterproof, breathable materials: How does nature transport water across its surfaces and through its membranes? 仿生防水透气材料:大自然是如何将水输送到其表面和膜上的?
IF 4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-09-11 DOI: 10.1016/j.pmatsci.2025.101578
Sara K. Fleetwood , Maya Kleiman , Victoria French , Joice Kaschuk , E. Johan Foster
The controlled transport of water vapor and liquid water across membranes is a crucial biological process observed in natural systems for over 460 million years. Through evolution, plants have developed various methods to regulate water gradients between their internal structures and the external environment. The primary natural mechanisms used to modulate the water gradient effectively involve integrating specialized organs, like those responsible for gas exchange, in tandem with developing impermeable outer surfaces. Several applications in engineered materials – including rainwear, wound dressings, textiles, packaging, and building materials require breathability and waterproofing properties. Breathable materials can enable water vapor movement within their structure, while waterproof materials effectively resist the penetration and absorption of liquid water. Developing materials that can simultaneously exhibit waterproofness, and breathability presents a significant scientific and engineering challenge due to the inherent conflict between these properties. This review aims to delve into the physicochemical mechanisms governing plant water transport and establish a connection with developing bio-based and bio-inspired materials. We explore how plant components can give rise to hydrophobic, hydrophilic, porous, and responsively porous bio-inspired materials, addressing challenges encountered in the waterproof-breathable textile industry.
水蒸气和液态水在膜上的控制运输是一个重要的生物过程,在自然系统中已观察到超过4.6亿年。在进化过程中,植物已经发展出各种方法来调节其内部结构和外部环境之间的水分梯度。用于有效调节水梯度的主要自然机制包括整合专门的器官,如负责气体交换的器官,以及发展不渗透的外表面。工程材料中的一些应用-包括雨衣,伤口敷料,纺织品,包装和建筑材料需要透气性和防水性能。透气材料可以使水蒸气在其结构内部运动,而防水材料可以有效地抵抗液态水的渗透和吸收。由于这些特性之间的内在冲突,开发同时具有防水和透气性的材料提出了重大的科学和工程挑战。本文旨在深入探讨植物水分运移的物理化学机制,并将其与生物基和仿生材料的发展联系起来。我们探索植物成分如何产生疏水、亲水、多孔和响应多孔的仿生材料,解决防水透气纺织行业遇到的挑战。
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引用次数: 0
Ultra-high temperature piezoelectric crystals: Properties, structures and applications 超高温压电晶体:性能、结构与应用
IF 4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-08-19 DOI: 10.1016/j.pmatsci.2025.101556
Weisan Fang , Xiaoniu Tu , Huajie Luo , He Qi , Hua Tan , Haibo Zhang , Jun Chen
Piezoelectric single crystals with high melting points are crucial for ultra-high temperature sensing applications, such as structural health monitoring and non-destructive testing of special equipment. Despite significant progress in recent years, a systematic and comprehensive review of high-temperature piezoelectric crystals has yet to be conducted. In this review, we delve into the crystal growth, electrical properties, crystal structures, and practical applications, including the representative rare-earth calcium oxyborate crystals [ReCaO(BO3)3, ReCOB, Re: rare earth], langasite-type crystals (La3Ga5SiO14, LGS; La3Ta0.5Ga5.5O14, LTG, etc.), along with several single crystals (Ba2TiSi2O8, AlN, Ca2Al2SiO7, etc.). In particular, the temperature dependence of electrical resistivity, dielectric, piezoelectric, elastic, and electromechanical properties are reviewed. The piezoelectric crosstalk and the impact of crystal cuts on electrical properties are discussed. Moreover, the origin of the relationship between order–disorder structures and properties of piezoelectric single crystals, as well as the conductivity mechanism, are clarified using theoretical calculations. The behaviours of these crystals in extreme conditions sensing applications are summarized, such as surface acoustic wave (SAW) sensors, vibrational sensors, acoustic emission (AE) sensors, pressure sensors, suggesting innovative design strategies for sensors with high sensitivity and performance robustness.
具有高熔点的压电单晶在结构健康监测和特种设备无损检测等超高温传感应用中具有重要意义。尽管近年来取得了重大进展,但对高温压电晶体还没有进行系统和全面的综述。本文从晶体生长、电学性质、晶体结构和实际应用等方面进行了综述,包括具有代表性的稀土氧硼酸钙晶体[ReCaO(BO3)3, ReCOB, Re:稀土],langasite型晶体(La3Ga5SiO14, LGS; La3Ta0.5Ga5.5O14, LTG等),以及几种单晶(Ba2TiSi2O8, AlN, Ca2Al2SiO7等)。特别是,电阻率,介电,压电,弹性和机电性能的温度依赖性进行了审查。讨论了压电串扰和晶体切割对电性能的影响。此外,通过理论计算阐明了压电单晶有序无序结构与性能关系的起源,以及导电机理。总结了这些晶体在表面声波(SAW)传感器、振动传感器、声发射(AE)传感器、压力传感器等极端条件传感应用中的行为,提出了高灵敏度和性能鲁棒性传感器的创新设计策略。
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引用次数: 0
Machine learning enhanced atom probe tomography analysis 机器学习增强原子探针断层扫描分析
IF 4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-08-21 DOI: 10.1016/j.pmatsci.2025.101561
Yue Li , Ye Wei , Alaukik Saxena , Markus Kühbach , Christoph Freysoldt , Baptiste Gault
Atom probe tomography (APT) is a burgeoning characterization technique that provides compositional mapping of materials in three-dimensions at near-atomic scale. Since its significant expansion in the past 30 years, we estimate that one million APT datasets have been collected, each containing millions to billions of individual ions. Their analysis and the extraction of microstructural information has largely relied upon individual users whose varied level of expertise causes clear and documented bias. Current practices hinder efficient data processing, and make challenging standardization and the deployment of data analysis workflows that would be compliant with the Findable, Accessible, Interoperable, and Reusable (FAIR) data principles. Over the past decade, building upon the long-standing expertise of the APT community in the development of advanced data processing or “data mining” techniques, there has been a surge of novel machine learning (ML) approaches aiming for user-independence, and that are efficient, reproducible, and robust from a statistics perspective. Here, we provide a snapshot review of this rapidly evolving field. We begin with a brief introduction to APT and the nature of the APT data. This is followed by an overview of relevant ML algorithms and a comprehensive review of their applications to APT. We also discuss how ML can enable discoveries beyond human capability, offering new insights into the mechanisms within materials. Finally, we provide guidance for future directions in this domain.
原子探针层析成像(APT)是一种新兴的表征技术,可以在近原子尺度上提供三维材料的成分映射。自从它在过去30年里显著扩张以来,我们估计已经收集了100万个APT数据集,每个数据集包含数百万到数十亿个单个离子。他们的分析和微观结构信息的提取在很大程度上依赖于个人用户,他们不同的专业水平导致了明显的和记录在案的偏见。当前的实践阻碍了有效的数据处理,并使符合可查找、可访问、可互操作和可重用(FAIR)数据原则的数据分析工作流的标准化和部署具有挑战性。在过去的十年中,基于APT社区在开发高级数据处理或“数据挖掘”技术方面的长期专业知识,出现了大量旨在实现用户独立性的新型机器学习(ML)方法,这些方法从统计学的角度来看是高效、可重复和健壮的。在这里,我们简要回顾一下这个快速发展的领域。我们首先简要介绍APT和APT数据的性质。随后概述了相关的机器学习算法,并全面回顾了它们在APT中的应用。我们还讨论了机器学习如何能够实现超越人类能力的发现,为材料内部的机制提供新的见解。最后,对该领域的未来发展方向进行了展望。
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引用次数: 0
Toward flexible energy storage: MXene frameworks from synthesis principles to device applications 走向灵活的能量存储:从合成原理到设备应用的MXene框架
IF 4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-09-21 DOI: 10.1016/j.pmatsci.2025.101583
Andleeb Mehmood , Irfan Ijaz , Waseem Raza , Muhammad Asim Mushtaq , Munir Ahmad , Dan Luo , Yanwei Sui , Kai Zong , Zhongwei Chen
The rapid proliferation of wearable, portable, and foldable electronics has exposed critical limitations in conventional energy storage technologies, particularly in terms of mechanical adaptability and miniaturization. Addressing these challenges necessitates the development of energy storage systems that are not only electrochemically robust but also mechanically flexible and scalable. MXenes, an emerging class of two-dimensional transition metal carbides, nitrides, and carbonitrides, have emerged as compelling candidates for flexible energy storage applications owing to their distinctive structural and physicochemical attributes (electrical conductivity, tunable surface chemistries, and intrinsic mechanical flexibility). This review critically examines recent advances in the synthesis and structural modulation of MXenes tailored for flexible energy storage systems. Emphasis is placed on their integration with complementary materials, such as carbon nanostructures (e.g., nanotubes and nanofibers), transition metal oxides (e.g., V2O3, VO2, and TiO2), and porous matrices. The discussion encompasses a broad spectrum of device chemistries, ranging from diverse flexible battery applications to supercapacitors, and highlights the mechanistic roles of MXenes in charge transport, ion diffusion, and mechanical resilience. Key challenges, including structural degradation under strain, interfacial stability, and scalable processing, are identified. Alongside strategic design principles to guide the future development of mechanically compliant and high-end Mxene based flexible energy technologies are highlighted.
可穿戴、便携式和可折叠电子设备的快速发展暴露了传统储能技术的关键局限性,特别是在机械适应性和小型化方面。为了解决这些挑战,需要开发不仅具有电化学稳定性,而且具有机械灵活性和可扩展性的储能系统。MXenes是一类新兴的二维过渡金属碳化物、氮化物和碳氮化物,由于其独特的结构和物理化学属性(电导率、可调表面化学性质和内在的机械灵活性),已成为柔性储能应用的引人注目的候选者。本文综述了针对柔性储能系统量身定制的MXenes的合成和结构调制的最新进展。重点放在它们与互补材料的集成上,例如碳纳米结构(例如,纳米管和纳米纤维),过渡金属氧化物(例如,V2O3, VO2和TiO2)和多孔基质。讨论涵盖了广泛的器件化学,从各种柔性电池应用到超级电容器,并强调了MXenes在电荷传输、离子扩散和机械弹性方面的机制作用。主要挑战包括应变下的结构退化、界面稳定性和可扩展处理。除了战略设计原则外,还强调了指导未来机械兼容和高端Mxene柔性能源技术发展的战略设计原则。
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引用次数: 0
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Progress in Materials Science
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