Progress in Materials Science最新文献_第4页

Recent progress in rare earth element modulated electrocatalysts for CO2 electroreduction 稀土元素调制CO2电还原电催化剂研究进展

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

Progress in Materials Science

Pub Date : 2025-10-24 DOI: 10.1016/j.pmatsci.2025.101594

Yin Wang , Wensheng Fang , Deyu Zhu , Jiwen Chen , Xin Wang , Ho Seok Park , Jinghai Liu , Bao Yu Xia

Electrocatalytic CO₂ reduction reaction (CO₂RR) represents a highly promising carbon-negative technology, capable of mitigating atmospheric CO₂ concentrations while simultaneously generating value-added chemicals. Rare earth (RE) elements have been extensively used to fabricate advanced electrocatalysts for enhancing the performance of CO₂RR due to their unique 4f electron configurations and redox characteristics. However, critical challenges of achieving precise modulation on CO₂ selectivity with RE elements and their mechanisms are still being pursued. This review systematically summarizes recent advances in RE-based electrocatalysts for selective conversion of CO₂ towards each C₁ (CO, HCOOH/HCOO⁻ and CH₄) or C₂₊ (C₂H₄, C₂H₅OH) products, and aims to construct the relationship between the RE-mediated structure and electrocatalytic performance. Primarily, the fundamental aspects of CO₂RR selectivity and RE characteristics are established. Subsequently, selective modulation mechanisms for specific CO₂RR product and corresponding RE-based catalysts are proposed and classified. We elucidate the synergistic modulation on CO₂ reduction pathway by RE elements unique physicochemical properties (including 4f-electron properties, larger atomic radius, oxygen affinity, and high-valence state) in critical reaction metrics: CO₂ activation, *CO adsorption energy, C–C coupling kinetics, electron/mass transport efficiency and long-term catalytic stability. Building on this foundation, atomic-level control over Cu/RE ratio governs the selective generation of C₁ versus C₂₊ products by modulating reaction pathways, while the intrinsic high-valence stability of RE effectively enhances catalytic durability. Finally, we outline the current challenges and future research directions for RE-mediated CO₂RR systems. This review will offer rational principles and deeper understanding for engineering RE-based electrocatalysts toward desired chemicals under industrial-scale CO₂RR.

电催化二氧化碳还原反应（CO2RR）是一种非常有前途的负碳技术，能够在减少大气二氧化碳浓度的同时产生增值化学品。稀土元素由于其独特的4f电子构型和氧化还原特性，已被广泛用于制造先进的电催化剂，以提高CO2RR的性能。然而，利用稀土元素实现对CO2选择性的精确调制及其机制仍是一个重要的挑战。本文系统地综述了re基电催化剂在CO2选择性转化为C1 （CO， HCOOH/HCOO−和CH4）或C2+ (C2H4, C2H5OH)产物方面的最新进展，旨在构建re介导的结构与电催化性能之间的关系。首先，建立了CO2RR选择性和RE特性的基本方面。随后，提出并分类了特定CO2RR产物的选择性调制机制和相应的re基催化剂。我们阐明了稀土元素独特的物理化学性质（包括4f电子性质、更大的原子半径、氧亲和和高价态）在CO2活化、*CO吸附能、C-C耦合动力学、电子/质量传递效率和长期催化稳定性等关键反应指标上对CO2还原途径的协同调节。在此基础上，原子水平上对Cu/RE比的控制通过调节反应途径来控制C1和C2+产物的选择性生成，而RE固有的高价稳定性有效地提高了催化耐久性。最后，我们概述了re介导的CO2RR系统目前面临的挑战和未来的研究方向。本文综述将为工业规模CO2RR条件下的工程稀土电催化剂催化所需化学物质提供合理的原理和更深入的认识。

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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

Progress in Materials Science

Pub 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/NO_x 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

4D printing for bone implant: Progress, advantages and challenges 骨种植体的4D打印：进展、优势和挑战

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

Progress in Materials Science

Pub Date : 2025-10-15 DOI: 10.1016/j.pmatsci.2025.101591

Feng Yang , Wenjing Ding , Jiye Jia , Cijun Shuai , Pei Feng

While the dynamic characteristic of 4D printing empowers the original static objects fabricated by 3D printing to adapt to more complex application scenarios, their efficacy in orchestrating sophisticated tissue regeneration processes remains controversial given the pathophysiological complexity of native tissues. It is particularly noteworthy that significant changes in properties such as mechanical strength during dynamic transformation pose challenges for its application in load-bearing tissues like bone, warranting further research. Here, 4D printed bone implants were taken as the research objects, beginning with the construction strategies where the advantages of 4D printing over 3D printing in bone tissue engineering were also summarized, leading to the structural design and fabrication techniques of 4D printed bone implants. Then, three major challenges focused on shape transformation, stimulation methods and mechanical strength that 4D printed bone implants faced in practical applications were emphasized in sequence, with corresponding solutions being summarized. Overall, this review systematically analyzed both the advantages and challenges of 4D printed bone implants in the treatment of bone defects, aiming to facilitate the development of intelligent bone implants and accelerate the transition of 4D printed bone implants from basic research to clinical application.

虽然4D打印的动态特性使3D打印制造的原始静态物体能够适应更复杂的应用场景，但考虑到原生组织的病理生理复杂性，它们在协调复杂组织再生过程中的功效仍然存在争议。特别值得注意的是，动态转化过程中机械强度等性能的显著变化，对其在骨等承重组织中的应用提出了挑战，值得进一步研究。本文以4D打印骨植入物为研究对象，从构建策略入手，总结了4D打印相对于3D打印在骨组织工程中的优势，进而提出了4D打印骨植入物的结构设计和制造技术。然后依次强调了4D打印骨植入物在实际应用中面临的形状转化、刺激方式和机械强度三大挑战，并总结了相应的解决方案。综上所述，本文系统分析了4D打印骨种植体在骨缺损治疗中的优势和挑战，旨在促进智能骨种植体的发展，加快4D打印骨种植体从基础研究向临床应用的过渡。

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引用次数: 0

Biodegradable zinc-based metallic materials: Mechanisms, properties, and applications 可生物降解的锌基金属材料：机理、性能和应用

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

Progress in Materials Science

Pub Date : 2025-10-15 DOI: 10.1016/j.pmatsci.2025.101584

Hongtao Yang , He Huang , Shuang Li , Yu Qin , Peng Wen , Xinhua Qu , Bo Jia , Yufeng Zheng

Zinc (Zn) and its alloys have rapidly emerged as biodegradable metals with promising biomedical applications over the past decade. Their unique advantages include tunable degradation rates that align well with tissue healing, diverse biofunctions, and superior mechanical properties. These attributes position Zn alloys as a potential breakthrough for expanding the clinical utility of biodegradable materials and addressing existing technical challenges. This review begins with a historical development of industrial Zn alloys and Zn biology, highlighting the interdisciplinary efforts that gave rise to biodegradable Zn alloys, and the comparison of metallic Zn with other biodegradable metals and Zn-based biomaterials. We then examine the biodegradation process of Zn metals in physiological environments, focusing on material and environmental factors influencing degradation behavior and potential metabolic pathways of Zn degradation products. The biological functions of Zn alloy implants, including osteogenesis, antibacterial activity, angiogenesis, immunomodulation, and anti-restenosis effects, are discussed. Next, critical mechanical properties, such as strength, ductility, stiffness, fatigue, and creep, are also analyzed, along with factors that influence these properties. Furthermore, we explore the performance of Zn alloy implants in cardiovascular, orthopedic, and wound closure applications. Finally, we discuss challenges that must be addressed to facilitate clinical translation of Zn alloys and outline promising future directions including AI assisted design and “smart” Zn biomaterials for precision medicine.

近十年来，锌及其合金作为生物可降解金属迅速崛起，具有广阔的生物医学应用前景。其独特的优势包括可调节的降解率，与组织愈合，多样化的生物功能和优越的机械性能相匹配。这些特性使锌合金成为扩大生物可降解材料临床应用和解决现有技术挑战的潜在突破。本文从工业锌合金和锌生物学的历史发展开始，重点介绍了生物可降解锌合金的跨学科研究，以及金属锌与其他生物可降解金属和锌基生物材料的比较。然后，我们研究了锌金属在生理环境中的生物降解过程，重点研究了影响降解行为的内在和外在因素以及锌降解产物的潜在代谢途径。本文讨论了锌合金植入物的生物学功能，包括成骨、抗菌、血管生成、免疫调节和抗再狭窄作用。其次，关键的机械性能，如强度，延展性，刚度，疲劳和蠕变，也进行了分析，以及影响这些性能的因素。此外，我们还探讨了锌合金植入物在心血管、骨科和伤口愈合方面的应用。最后，我们讨论了必须解决的挑战，以促进锌合金的临床翻译，并概述了有希望的未来方向，包括人工智能辅助设计和用于精准医疗的“智能”锌生物材料。

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引用次数: 0

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