Progress in Materials Science最新文献_第7页

Adaptable conductive hydrogel-enabled soft electronics 适应性导电性水凝胶软电子器件

IF 4 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Progress in Materials Science

Pub Date : 2025-10-13 DOI: 10.1016/j.pmatsci.2025.101590

Yi Liu , Rawan Omar , Gang Li , Pengcheng Zhou , Yujie Zhang , Wenqing Yan , Hossam Haick , Chuan Fei Guo , Takao Someya , Yan Wang

This review provides a concise exploration of the rapidly evolving field of adaptable conductive hydrogel-enabled soft electronics for extreme environments. Hydrogels, recognized for their water-rich network structure and remarkable biocompatibility, hold immense promise for soft electronics due to their excellent flexibility, permeability, biocompatibility, and tunable mechanical and electrical properties. However, when exposed to extreme environments, the significant aqueous content of hydrogels brings about inherent challenges such as icing, water loss, swelling, low adhesion, corrosion, weak mechanical properties, and physical damage, which can severely impair the performance and reliability of hydrogel-enabled soft electronics. This review thoroughly explores the remarkable properties of adaptable conductive hydrogel-enabled soft electronics, such as anti-freezing, anti-drying, anti-swelling, bioadhesive, self-healing, anti-corrosive, stretchable and other desirable characteristics. It then highlights their applications in soft electronics under extreme conditions such as temperature, humidity, harsh solutions, high adhesiveness, physical damage, and mechanical deformations. Despite considerable progress, challenges remain in adaptable conductive hydrogel-enabled soft electronics, particularly in enhancing function and electronics integration, as well as developing effective recycling and degradation mechanisms. This comprehensive overview provides a roadmap for researchers and innovators in this field, offering valuable insights into current advancements and future prospects.

这篇综述提供了一个简明的探索快速发展的领域适应性导电水凝胶使软电子极端环境。水凝胶以其富水的网络结构和卓越的生物相容性而闻名，由于其优异的柔韧性、渗透性、生物相容性和可调的机械和电气性能，在软电子领域具有巨大的前景。然而，当暴露在极端环境中时，水凝胶的大量含水含量会带来固有的挑战，如结冰、失水、膨胀、低粘附、腐蚀、弱机械性能和物理损坏，这些都会严重损害水凝胶软电子设备的性能和可靠性。本文综述了自适应导电水凝胶软电子器件的优异性能，如抗冻、抗干燥、抗膨胀、生物粘接、自愈、抗腐蚀、可拉伸等特性。然后重点介绍了它们在极端条件下的软电子产品中的应用，如温度，湿度，苛刻的解决方案，高粘性，物理损伤和机械变形。尽管取得了相当大的进展，但在适应性导电水凝胶软电子方面仍然存在挑战，特别是在增强功能和电子集成以及开发有效的回收和降解机制方面。这一全面的概述为该领域的研究人员和创新者提供了路线图，提供了对当前进展和未来前景的宝贵见解。

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引用次数: 0

Revolutionary near-infrared phosphors with emerging structures and mechanisms driving next-generation applications 革命性的近红外荧光粉，具有新兴的结构和机制，推动下一代应用

IF 4 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Progress in Materials Science

Pub Date : 2025-10-10 DOI: 10.1016/j.pmatsci.2025.101588

Kuan-Chun Chen, Shih-En Chen, Chuan-Fang Tsao, Yu-Chieh Huang, Ru-Shi Liu

Near-infrared (NIR) phosphors have emerged as critical components for next-generation optoelectronic devices, spanning biological windows NIR-I (650–950 nm), NIR-II (1000–1350 nm), and NIR-III (1500–1850 nm). This review aims to provide the evolution of NIR phosphor structures, luminescence mechanisms, and applications from fundamental crystal field theory to cutting-edge intervalence charge transfer processes. We systematically analyze activator systems including rare earth elements and transition metals, elucidating structure–property relationships through site engineering, cation substitution, and energy transfer mechanisms. Recent breakthroughs achieving high internal quantum efficiency and broadband emission demonstrate remarkable progress, especially in the NIR-II phosphor research field. Applications encompass plant growth lighting, artificial intelligence image recognition, spectroscopic analysis, and optical communication. Machine learning-accelerated discovery approaches now enable good prediction accuracy for new phosphor systems. This review provides design principles for high-performance NIR phosphors while identifying future opportunities in high-power laser diode light sources and biomedical applications, establishing a roadmap for next-generation NIR phosphor materials.

近红外（NIR）荧光粉已成为下一代光电器件的关键组件，涵盖生物窗口NIR- i(650-950 nm), NIR- ii（1000-1350 nm）和NIR- iii（1500-1850 nm）。本文综述了近红外荧光粉结构的演变、发光机制以及从基本晶体场理论到最新价间电荷转移过程的应用。我们系统地分析了包括稀土元素和过渡金属在内的激活剂体系，通过现场工程、阳离子取代和能量转移机制来阐明结构-性能关系。近年来在实现高内量子效率和宽带发射方面的突破，特别是在NIR-II荧光粉研究领域取得了显著进展。应用领域包括植物生长照明、人工智能图像识别、光谱分析和光通信。机器学习加速发现方法现在可以为新的荧光粉系统提供良好的预测精度。本综述提供了高性能近红外荧光粉的设计原则，同时确定了高功率激光二极管光源和生物医学应用的未来机会，并建立了下一代近红外荧光粉材料的路线图。

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引用次数: 0

Alkali-resistant nanofiltration membranes: materials, mechanisms, applications, and perspectives 耐碱纳滤膜：材料、机理、应用及展望

IF 4 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Progress in Materials Science

Pub Date : 2025-10-10 DOI: 10.1016/j.pmatsci.2025.101589

Zai-Xu Nan , Jiang-Shan Xing , Xue-Li Cao , Shi-Peng Sun , Weihong Xing

Industrial alkaline solutions, characterized by complex compositions and large treatment volumes, pose significant challenges for purification and resource recovery. Nanofiltration (NF) offers an effective and economically advantageous for separating and purifying alkaline solutions. However, the polyamide layer of traditional NF membranes is susceptible to nucleophilic attack by OH^– ions in alkaline environments, causing performance degradation over time. Recent advancements in alkali-resistant NF membranes have demonstrated stable separation under such harsh conditions. Despite this progress, comprehensive analyses addressing monomer selection, design principles, preparation methods, process coupling, economic evaluation, and application requirements remain insufficiently addressed, creating confusion in membrane design, selection, and application. This paper provides a thorough overview of the materials and performance of current alkali-resistant NF membranes, delving into the underlying mechanisms of alkali resistance. Additionally, it summarizes the preparation techniques and industrial applications of these membranes, while also highlighting the broader application requirements. Finally, the paper outlines the challenges and future research directions of material upgrading and process optimization for alkali-resistant NF membranes. The goal is to provide valuable insights to guide further advancements in this field, paving the way for more efficient and durable membrane technologies for separation, purification and resource recovery of alkaline solutions.

工业碱性溶液组成复杂，处理量大，对其净化和资源回收提出了重大挑战。纳滤技术为分离和净化碱性溶液提供了一种既有效又经济的方法。然而，传统NF膜的聚酰胺层在碱性环境中容易受到OH -离子的亲核攻击，导致性能随着时间的推移而下降。耐碱滤膜的最新进展已经证明在这种恶劣条件下可以稳定分离。尽管取得了这些进展，但对单体选择、设计原则、制备方法、工艺耦合、经济评价和应用要求的综合分析仍然不够充分，这在膜的设计、选择和应用中造成了混乱。本文全面综述了目前耐碱纳滤膜的材料和性能，深入探讨了耐碱的潜在机制。此外，综述了这些膜的制备技术和工业应用，同时强调了更广泛的应用需求。最后，概述了耐碱纳滤膜在材料升级和工艺优化方面面临的挑战和未来的研究方向。目的是提供有价值的见解，以指导该领域的进一步发展，为更有效和耐用的膜技术的分离，净化和碱性溶液的资源回收铺平道路。

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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

Progress in Materials Science

Pub 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

Emergence of deep eutectic solvents (DES): chemistry, preparation, properties, and applications in biorefineries and critical materials 深共晶溶剂（DES）的出现：化学、制备、性质及其在生物精炼厂和关键材料中的应用

IF 4 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Progress in Materials Science

Pub Date : 2025-09-30 DOI: 10.1016/j.pmatsci.2025.101586

Karthik Ananth Mani , Lokesh Kumar , Nelson Barrios , Sachin Agate , Ashutosh Mittal , John Yarbrough , Hasan Jameel , Lucian Lucia , Lokendra Pal

The emergence of renewable deep eutectic solvents (DES) as clean and efficient catalysts and solvents has created new opportunities for lignocellulosic biorefineries and critical material sectors, including chemical, energy, pharmaceutical, textile, and hydrometallurgical industries. This review provides an in-depth overview of DES, covering their chemistry, classifications, preparation methods, processing characteristics, and recyclability, while highlighting their unique attributes and industry relevant applications. Emphasis is placed on the integration of DES into advanced biorefinery systems, focusing on their tunable physicochemical and thermodynamic properties for biomass pretreatment and the production of value-added products. The review explores how DES can be tuned for selective dissolution of biomass components and evaluates production and valorization of DES-derived biochemicals, with attention to lignin extraction mechanisms and conversion of biomass into bioproducts and biofuels. Beyond biorefineries, the scope extends to DES applications in electrochemical energy devices, where they serve as electrolytes, synthesis media for electrode materials, and leaching agents in battery recycling. The multifunctional roles of DES in pharmaceutical, hydrometallurgical, and textile sectors are also explored for contributions to sustainable processing. Finally, the review identifies future research directions, outlining benefits, challenges, and knowledge gaps, for continued industrial development.

可再生的深共晶溶剂（DES）作为清洁高效的催化剂和溶剂的出现，为木质纤维素生物炼制和关键材料行业，包括化学、能源、制药、纺织和湿法冶金行业创造了新的机遇。本文从DES的化学性质、分类、制备方法、加工特点、可回收性等方面对其进行了综述，重点介绍了DES的独特属性和行业应用。重点是将DES整合到先进的生物精炼系统中，重点是其可调的物理化学和热力学特性，用于生物质预处理和增值产品的生产。这篇综述探讨了如何将DES用于选择性溶解生物质成分，并评估了DES衍生生化物质的生产和增值，重点是木质素提取机制和生物质转化为生物产品和生物燃料。除生物精炼厂外，其应用范围还扩展到电化学能源设备中的DES应用，在这些设备中，DES用作电解质、电极材料的合成介质和电池回收中的浸出剂。还探讨了DES在制药、湿法冶金和纺织部门的多功能作用，以促进可持续加工。最后，该综述确定了未来的研究方向，概述了工业持续发展的好处、挑战和知识差距

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引用次数: 0

An overview of HR-EBSD techniques for mapping local stress and dislocations in crystalline materials at sub-micron resolution 在亚微米分辨率下绘制晶体材料局部应力和位错的HR-EBSD技术综述

IF 4 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Progress in Materials Science

Pub Date : 2025-09-29 DOI: 10.1016/j.pmatsci.2025.101585

Timothy J. Ruggles , William G. Gilliland , David T. Fullwood , Josh Kacher

High resolution electron backscatter diffraction (HR-EBSD) is a technique used to map elastic strain, crystallographic orientation and dislocation density in a scanning electron microscope. This review covers the background and mathematics of this technique, contextualizing it within the broader landscape of EBSD techniques and other materials characterization methods. Several case studies are presented showing the application of HR-EBSD to the study of plasticity in metals, failure analysis in microelectronics and defect quantification in thin films. This is intended to be a comprehensive resource for researchers developing this technique as well as an introduction to those wishing to apply it.

高分辨率电子背散射衍射（HR-EBSD）是一种在扫描电子显微镜下绘制弹性应变、晶体取向和位错密度的技术。这篇综述涵盖了该技术的背景和数学，将其置于更广泛的EBSD技术和其他材料表征方法的背景下。几个案例研究展示了HR-EBSD在金属塑性研究、微电子失效分析和薄膜缺陷量化方面的应用。这是一个全面的资源，为研究人员开发这种技术，以及介绍那些希望应用它。

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

Progress in Materials Science

Pub 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

Corrigendum to “Progress in recent sustainable materials for greenhouse gas (NOx and SOx) emission mitigation”. [Prog. Mater. Sci. 132 (2023) 101033] “减少温室气体（氮氧化物和硫氧化物）排放的近期可持续材料的进展”的勘误。[掠夺。板牙。科学通报，132 (2023)101033]

IF 4 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Progress in Materials Science

Pub Date : 2025-09-21 DOI: 10.1016/j.pmatsci.2025.101566

Aminul Islam , Siow Hwa Teo , Chi Huey Ng , Yun Hin Taufiq-Yap , Shean Yaw Thomas Choong , Md. Rabiul Awual

引用次数: 0

Non-fluorinated superomniphobic surfaces 非氟超疏水表面

IF 4 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Progress in Materials Science

Pub Date : 2025-09-17 DOI: 10.1016/j.pmatsci.2025.101581

Sadaf Shabanian , Mohammad Soltani , Sudip Kumar Lahiri , Carlo Antonini , Kevin Golovin

Superomniphobic surfaces, capable of repelling a wide range of liquids including low-surface-tension oils, rely on a synergy between surface chemistry and texture. For decades, these surfaces have primarily relied on per- and polyfluoroalkyl substances (PFAS) due to their low surface energy and durability. However, the persistence of PFAS in the environment and their toxicological risks have triggered global regulations to phase out their use. This transition presents substantial challenges, especially in sectors such as textiles, food packaging, and electronics, where oil and chemical resistance are essential and fluorine-free alternatives remain limited. While recent research has made progress in developing PFAS-free superhydrophobic surfaces, there remains a significant gap in understanding and designing non-fluorinated superomniphobic systems. This review provides a comprehensive overview of recent strategies for achieving superomniphobicity without fluorinated chemistry. We discuss both texture- and chemistry-based approaches, including coatings made with silica nanoparticles, treated fabrics, and metal oxide nanostructures, as well as coating-free systems that leverage advanced 3D-printing to fabricate doubly and triply re-entrant geometries. Importantly, we highlight limitations in scalability, durability, and liquid-specific performance. By identifying key material and structural design considerations, this review offers a clear perspective on current challenges and emerging opportunities for creating sustainable, high-performance, PFAS-free superomniphobic surfaces.

超疏水表面，能够排斥各种液体，包括低表面张力的油，依赖于表面化学和质地之间的协同作用。几十年来，这些表面主要依赖于全氟烷基和多氟烷基物质（PFAS），因为它们具有优异的驱避性和耐久性。然而，PFAS在环境中的持续存在及其毒理学风险已促使全球法规逐步淘汰其使用。这种转变带来了巨大的挑战，特别是在纺织、食品包装和电子等部门，在这些部门，耐油和耐化学品是必不可少的，而无氟替代品仍然有限。虽然最近的研究在开发无pfas的超疏水表面方面取得了进展，但在理解和设计无氟超疏水系统方面仍有很大的差距。这篇综述提供了一个全面的概述，最近的策略，以实现超疏水性不含氟化学。我们讨论了基于纹理和化学的方法，包括用二氧化硅纳米颗粒、处理过的织物和金属氧化物纳米结构制成的涂层，以及利用先进的3d打印来制造双重和三重可重入几何形状的无涂层系统。重要的是，我们强调了可扩展性、耐用性和液体特定性能方面的局限性。通过确定关键的材料和结构设计考虑因素，本综述为当前的挑战和创造可持续、高性能、无pfas的超全憎表面提供了清晰的视角。

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引用次数: 0

Lithium selective membranes for direct lithium extraction from complex brine 锂选择膜直接从复杂卤水中提取锂

IF 4 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Progress in Materials Science

Pub Date : 2025-09-15 DOI: 10.1016/j.pmatsci.2025.101582

Zhi-Yuan Guo , Jing Wang , Panpan Zhan , Lei Wang , Zhiping Lai , Zhi-Yong Ji

Membrane separation technology is an effective method for lithium extraction, boasting advantages such as environmental sustainability and continuous production feasibility. As high-grade lithium resources become increasingly depleted, the extraction paradigm must shift toward processing complex brines and seawater, which are characterized by ultra-low Li⁺ concentrations and a high content of competing ions, particularly Na⁺, K⁺, and Mg²⁺. Lithium selective membranes (LSMs) have emerged as critical enablers for sustainable lithium extraction from unconventional resources. Despite various LSMs have been proposed, there is a lack of systematic summarization and analysis of their lithium selective extraction mechanism and performance. This review systematically classifies state-of-the-art LSMs based on the lithium selective mechanisms of size sieving effect, binding affinity difference and hybrid mechanisms. The relationships of composition-structure–property in LSMs are analyzed in detail. The characteristics of various functional materials (including inorganic solid-state electrolytes, ionic liquids, phosphate esters, crown ethers, lithium ion-sieves, and metal–organic frameworks) used in the fabrication of LSMs are analyzed. Additionally, this review discussed the key technical challenges of the LSMs, and presented the potential future research directions to provide viable recommendations for the design, fabrication, and application of high-performance LSMs.

膜分离技术是一种有效的锂提取方法，具有环境可持续性和连续生产可行性等优点。随着高品位锂资源的日益枯竭，提取模式必须转向处理复杂卤水和海水，这些卤水的特点是超低Li+浓度和高竞争离子含量，特别是Na+、K+和Mg2+。锂选择膜（lsm）已成为从非常规资源中可持续提取锂的关键推动因素。尽管已经提出了各种lsm，但缺乏对其锂选择性萃取机理和性能的系统总结和分析。本文从粒径筛分效应、结合亲和性差异和杂化机制三个方面对lsm进行了系统的分类。详细分析了lsm中组成-结构-性能的关系。分析了用于lsm制备的各种功能材料（包括无机固态电解质、离子液体、磷酸酯、冠醚、锂离子筛和金属有机骨架）的特性。此外，本文还讨论了lsm的关键技术挑战，并提出了未来可能的研究方向，为高性能lsm的设计、制造和应用提供可行的建议。

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引用次数: 0