Materials Science and Engineering: R: Reports最新文献_第9页

Lithium-based lifeforms: Influence analysis of instantaneous and hysteresis performances in lithium-ion batteries 锂基生命形式：对锂离子电池瞬时和滞后性能的影响分析

IF 31.6 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials Science and Engineering: R: Reports

Pub Date : 2025-08-26 DOI: 10.1016/j.mser.2025.101096

Yongkai Zhang , Zhenhao Luo , Pushpendra Kumar , Songtong Zhang , Yuhong Jin , Qianqian Zhang , Xiayu Zhu , Wenjie Meng , Hai Ming , Jingyi Qiu

Lithium-ion batteries (LIBs) mainly function via the processes of lithium-ion diffusion and electron transport, which can be metaphorically compared to biological functions. Just like living lifeform organisms that need particular conditions to keep homeostasis, any departure from optimal operating parameters in LIBs may result in performance degradation, safety and reliability compromise, and ultimately may lead to battery failure or even to thermal runaway. To ensure reliable operation, a thorough understanding and influence analysis of the instantaneous and hysteresis performance for LIBs under the extreme environments or operating conditions, such as mechanical extrusion, vibration, high- and low- temperatures, supergravity and microgravity, and low atmospheric pressure, is essential, which enables accurate assessment of their ability to meet energy and power demands over their whole service life. Additionally, a series of critical challenges associated with overcharge, overdischarge, and high-current (pulse) cycling can also exert an adverse impact on the LIBs, especially when these factors act either individually or in combination. Herein, this review firstly presents the concept of lithium-based lifeforms, in conjunction with the groundbreaking proposal of instantaneous and hysteresis performances to comprehensively evaluate the whole life of LIBs, which is expected to guide the design of advanced LIBs with high performance and substantially enhance the accuracy of predictive and early-warning models for batteries and modules.

锂离子电池（LIBs）主要通过锂离子扩散和电子传递过程发挥作用，这可以比喻为生物功能。就像有生命的有机体需要特定的条件来保持体内平衡一样，锂电池中任何偏离最佳工作参数都可能导致性能下降、安全性和可靠性降低，最终可能导致电池故障甚至热失控。为了确保可靠的运行，对lib在极端环境或操作条件下（如机械挤压、振动、高温和低温、超重力和微重力以及低气压）的瞬时和滞后性能进行全面的了解和影响分析是必不可少的，这可以准确评估其在整个使用寿命内满足能源和电力需求的能力。此外，与过充、过放和大电流（脉冲）循环相关的一系列关键挑战也会对锂电池产生不利影响，特别是当这些因素单独或共同作用时。本文首次提出了锂基生命形式的概念，并开创性地提出了瞬时和滞后性能来综合评估锂电池的全寿命，这有望指导高性能先进锂电池的设计，并大幅提高电池和模块预测和预警模型的准确性。

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引用次数: 0

Multifunctional nanomaterials, systems, and algorithms for neuromorphic computing applications: Autonomous systems and wearable robotics 神经形态计算应用的多功能纳米材料、系统和算法：自主系统和可穿戴机器人

IF 31.6 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials Science and Engineering: R: Reports

Pub Date : 2025-08-25 DOI: 10.1016/j.mser.2025.101095

Shao-Xiang Go , Qishen Wang , Yu Jiang , Yishu Zhang , Desmond K. Loke

Memristive devices are the preferred choice for neuromorphic computer architectures, with low-dimensional materials exhibiting unique functionality resembling biological neurons. The ability to adjust these properties presents significant opportunities for artificial neural networks. This review offers a critical investigation of emerging multi-functional (MF) neuromorphic devices enabled by zero-dimensional, one-dimensional, and two-dimensional materials, van der Waals heterojunctions, and their mechanisms. It highlights the multiple unique bio-inspired device responses that arises from quantum confinement, interfaces, and low-dimensional topology. The advancements, obstacles, and potential solutions for effective neuromorphic computing using low-dimensional MF neuromorphic systems are surveyed. This overview highlights the appealing attributes of neuromorphic computing for future computations and explores the potential for advancing neuromorphic algorithms based on low-dimensional MF systems. The development of low-dimensional MF neural networks for autonomous system applications is outlined. This review article investigates the integration of physical, physiological, and environmental data through low-dimensional MF neural networks, which is essential for wearable robotic applications. It also provides a prospective analysis of the opportunities and challenges associated with low-dimensional MF neuromorphic materials compared to conventional bulk electronic technologies.

记忆器件是神经形态计算机体系结构的首选，低维材料具有类似生物神经元的独特功能。调节这些属性的能力为人工神经网络提供了重要的机会。本文综述了新兴的多功能（MF）神经形态器件的关键研究，这些器件由零维、一维和二维材料、范德华异质结及其机制组成。它强调了由量子约束、界面和低维拓扑产生的多种独特的生物启发器件响应。本文综述了利用低维MF神经形态系统进行有效神经形态计算的进展、障碍和潜在解决方案。本文概述了神经形态计算对未来计算的吸引力，并探讨了基于低维MF系统的神经形态算法的发展潜力。概述了用于自治系统应用的低维中频神经网络的发展。本文通过低维MF神经网络研究了物理、生理和环境数据的集成，这对可穿戴机器人的应用至关重要。它还提供了与传统散装电子技术相比，与低维MF神经形态材料相关的机遇和挑战的前瞻性分析。

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引用次数: 0

Emerging MXene and covalent-organic framework hybrids: Design strategies for energy, sensing, and environmental applications 新兴的MXene和共价有机框架混合物：能源、传感和环境应用的设计策略

IF 31.6 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials Science and Engineering: R: Reports

Pub Date : 2025-08-25 DOI: 10.1016/j.mser.2025.101087

Farzad Seidi , Ahmad Arabi Shamsabadi , Mostafa Dadashi Firouzjaei , Mark Elliott , Anupma Thakur , Yang Huang , Yuqian Liu , Huining Xiao , Babak Anasori

The demand for developing advanced hybrid materials with improved functions and performance is rising due to the current challenges in the environmental and energy fields. Hybridization of nanomaterials can address the shortcomings of individual components and afford composite nanomaterials with improved performance through synergistic effects. MXenes are among the growing families of inorganic two-dimensional (2D) materials with unique properties such as high electrical conductivity, hydrophilicity, easy processability, and excellent photothermal and electrochemical characteristics. Some limitations of MXenes, including poor chemical stability in oxidative conditions and low porosity due to restacking the 2D flakes, could hinder their potential in environmental applications. On the other hand, covalent organic frameworks (COFs) are highly porous organic networks but with primary shortcomings of low electrical conductivity and poor processability. Combining the metallic conductivity and excellent photothermal and electrochemical properties of MXenes with the high porosity of COFs enables the formation of COF@MXene nanomaterials with improved properties. Here, we provide a comprehensive review of the strategies utilized for designing and fabricating COF@MXene heterostructures through chemical and physical hybridization. The synergistic effects of hybridization are discussed for diverse applications, including catalysis, energy storage materials, sensors, water purification, and anti-corrosion coatings. Finally, the future outlook of the COF@MXenes, their challenges and possible solutions for these challenges are discussed.

由于当前环境和能源领域的挑战，对开发功能和性能改进的先进混合材料的需求正在上升。纳米材料的杂交可以解决单个组分的缺点，并通过协同效应提供性能提高的复合纳米材料。MXenes是不断发展的无机二维（2D）材料家族之一，具有高导电性、亲水性、易加工性、优异的光热和电化学特性等独特性能。MXenes的一些局限性，包括在氧化条件下化学稳定性差，以及由于二维薄片的重新堆积而导致的低孔隙率，可能会阻碍其在环境应用中的潜力。另一方面，共价有机框架（COFs）是高多孔性的有机网络，但主要缺点是电导率低，可加工性差。将MXenes的金属导电性和优异的光热电化学性能与COFs的高孔隙率相结合，可以形成具有改进性能的COF@MXene纳米材料。在这里，我们提供了利用化学和物理杂交设计和制造COF@MXene异质结构的策略的全面回顾。讨论了杂化的协同效应在催化、储能材料、传感器、水净化和防腐涂料等方面的应用。最后，对COF@MXenes的未来前景、面临的挑战以及可能的解决方案进行了讨论。

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引用次数: 0

Ultra- and high-performance polymers for material extrusion additive manufacturing: Recent advancements, challenges, and optimization perspectives 用于材料挤压增材制造的超高性能聚合物：最新进展、挑战和优化观点

IF 31.6 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials Science and Engineering: R: Reports

Pub Date : 2025-08-21 DOI: 10.1016/j.mser.2025.101086

Nectarios Vidakis , Markos Petousis , Maria Spyridaki , Nikolaos Mountakis , Evgenia Dimitriou , Nikolaos Michailidis

Material extrusion-based additive manufacturing (MEXAM) has emerged as a transformative technology for ultra-performance polymers (UPPs) and high-performance polymers (HPPs), enabling their use in demanding applications across diverse industries such as aerospace, automotive, medical, and defense. Their high strength-to-weight ratio, heat resistance, chemical stability, and performance retention under harsh conditions perfectly match the high potential of additive manufacturing for cost-effectiveness, flexibility, and adaptability. Among the most studied UPPs/HPPs, Polyimide (PΙ), polyetherketoneketone (PEKK), and polyetheretherketone (PEEK) have gained substantial attention due to their printability and superior functional properties. Despite these advantages, MEXAM of UPPs and HPPs presents considerable challenges. This review provides a comprehensive analysis of the molecular, rheological, thermal, and structural characteristics of UPPs/HPPs and their major composites that influence their printability and performance. A comparative evaluation of their advantages and limitations is presented, along with a discussion on recent advancements in process optimization. Research efforts for the optimization of MEXAM process control parameters were reviewed and interpreted. Furthermore, this work explores the integration of Artificial Intelligence (AI)-assisted optimization strategies to enhance processing efficiency and material properties. This study identifies key research gaps and highlights opportunities for future advancements in the field of MEXAM for UPPs and HPPs.

基于材料挤压的增材制造（MEXAM）已经成为超高性能聚合物（UPPs）和高性能聚合物（HPPs）的变革性技术，使其能够在航空航天、汽车、医疗和国防等不同行业的苛刻应用中使用。它们的高强度重量比、耐热性、化学稳定性和恶劣条件下的性能保持完全符合增材制造在成本效益、灵活性和适应性方面的高潜力。在研究最多的UPPs/HPPs中，聚酰亚胺（PΙ）、聚醚酮酮（PEKK）和聚醚醚酮（PEEK）由于其可印刷性和优越的功能特性而获得了大量关注。尽管有这些优势，UPPs和HPPs的MEXAM仍然面临着相当大的挑战。本文综述了UPPs/HPPs及其主要复合材料的分子、流变、热学和结构特性，并对影响其可打印性和性能进行了全面分析。对它们的优点和局限性进行了比较评价，并讨论了工艺优化的最新进展。综述了国内外在MEXAM工艺控制参数优化方面的研究成果。此外，本工作探讨了人工智能（AI）辅助优化策略的集成，以提高加工效率和材料性能。这项研究确定了关键的研究差距，并强调了未来在upp和hpp的MEXAM领域取得进展的机会。

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引用次数: 0

Advances in multi-atom catalysts for electrocatalytic applications 电催化用多原子催化剂的研究进展

IF 31.6 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials Science and Engineering: R: Reports

Pub Date : 2025-08-20 DOI: 10.1016/j.mser.2025.101090

Luoluo Qi, Jingqi Guan

Multi-atom catalysts (MACs) can break the limitation of single-atom catalysts (SACs) by introducing metal clusters, presenting a more diversified way in the composition, structure and performance of multi-atom sites, and utilizing the synergistic effect of multi atoms and metal-support interactions to jointly regulate the electronic structure of active sites, which endow them with advantageous electrocatalytic performance and unique reaction mechanism and expand new opportunities for the electrocatalytic field. Here, we summarize synthesis strategies, in situ structural characterization and the features reflecting structure-activity relationships of MACs with respect to composition and configuration, electron distribution as well as multiple functional effects. Then, the design principles of high-performance MACs are accentuated, involving multi-atom sites, coordination environments, interfacial defects, reaction media, and special thoughts including bio-inspired design and computing-learning-prediction. Subsequently, the applications in energy storage and conversion technologies are provided. Lastly, we conclude with some personal thoughts and perspectives on the growth and development of MACs in their nascent state.

多原子催化剂（MACs）通过引入金属团簇，打破单原子催化剂（SACs）的局限，在多原子位点的组成、结构和性能上呈现出更加多样化的方式，利用多原子和金属-载体相互作用的协同效应，共同调控活性位点的电子结构。使其具有优越的电催化性能和独特的反应机理，为电催化领域开辟了新的机遇。本文综述了MACs的合成策略、原位结构表征以及在组成和构型、电子分布和多种功能效应方面反映构效关系的特征。然后，重点介绍了高性能mac的设计原则，包括多原子位点、协调环境、界面缺陷、反应介质以及生物启发设计和计算-学习-预测等特殊思想。随后，提供了在储能和转换技术中的应用。最后，我们对mac的成长和发展提出了一些个人的想法和观点。

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引用次数: 0

Metal additive manufacturing of lattice-based orthopedic implants: A comprehensive review of requirements and design strategies 基于晶格的骨科植入物的金属增材制造：需求和设计策略的全面审查

IF 31.6 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials Science and Engineering: R: Reports

Pub Date : 2025-08-20 DOI: 10.1016/j.mser.2025.101075

Melika Babaei , Simone Murchio , Lorena Emanuelli , Raffaele De Biasi , Luigi Branca Vergano , Roberto Giuliani , Shuya Tian , Marie-Luise Wille , Filippo Berto , Massimo Pellizzari , Matteo Benedetti

This scoping review synthesizes recent advancements in the design and manufacturing of metallic additively manufactured lattice-based orthopedic implants. The review begins with an in-depth discussion on material selection, exploring the range of metals suitable for orthopedic applications, and progresses to detail the evolution of design methodologies, which now incorporate bio-inspired concepts and data-driven models such as inverse design. These innovative approaches significantly enhance the customization and functionality of bone implants, offering unprecedented opportunities for tailored patient care.

Additionally, the review analyzes the current standards and regulations that govern the development and implementation of these implants in clinical settings. It outlines the necessary steps and considerations for compliance, emphasizing the importance of these frameworks in ensuring the safe and effective transition of lattice-based orthopedic implants from theoretical models to practical solutions in healthcare.

By bridging the gap between cutting-edge research and clinical application, this review aims to serve as a crucial resource for researchers, engineers, and medical professionals. It not only encapsulates the state-of-the-art in implant technology but also highlights the collaborative efforts required to advance the field and overcome existing challenges. The ultimate goal is to pave the way for next-generation bone implants that are highly effective, safe, and optimized for individual patient needs.

本文综述了金属增材制造的基于晶格的骨科植入物的设计和制造方面的最新进展。回顾开始于对材料选择的深入讨论，探索适合骨科应用的金属范围，并进一步详细介绍设计方法的演变，现在包括生物启发概念和数据驱动模型，如逆向设计。这些创新的方法显著增强了骨植入物的定制和功能，为量身定制的患者护理提供了前所未有的机会。此外，本文还分析了在临床环境中管理这些植入物的开发和实施的现行标准和法规。它概述了必要的步骤和合规性的考虑，强调了这些框架的重要性，以确保安全有效地过渡到基于格的骨科植入物从理论模型到医疗保健的实际解决方案。通过弥合前沿研究和临床应用之间的差距，本综述旨在为研究人员、工程师和医学专业人员提供重要的资源。它不仅包含了最先进的植入技术，而且还强调了推进该领域和克服现有挑战所需的合作努力。最终目标是为下一代骨植入物铺平道路，这些骨植入物是高效、安全的，并且针对个体患者的需求进行了优化。

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引用次数: 0

Machine learning for 2D material–based devices 二维材料设备的机器学习

IF 31.6 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials Science and Engineering: R: Reports

Pub Date : 2025-08-20 DOI: 10.1016/j.mser.2025.101085

Yuan Yan , Yimu Yang , Yinchang Ma , Kadin Reed , Shengzhi Li , Shichao Pei , Zhenwen Liang , Xixiang Zhang , Yi Wan , Xiangliang Zhang , Rongyu Lin

Two-dimensional (2D) materials have emerged as a cornerstone for next-generation electronics, offering unprecedented opportunities for device miniaturization, energy-efficient computing, and novel functional applications. Their atomic-scale thickness, coupled with exceptional electrical, mechanical, and optical properties, makes them highly promising for applications ranging from ultra-scaled transistors to neuromorphic and quantum devices. However, optimizing these materials for device fabrication remains a complex and resource-intensive challenge due to the vast parameter space involved in their synthesis, processing, and integration. Machine learning (ML), a pivotal aspect of artificial intelligence (AI), has emerged as a powerful tool to accelerate the development of 2D material–based electronics by extracting insights from large experimental datasets and automating decision-making in high-throughput experimentation. This review highlights the critical role of ML in advancing 2D material research, focusing on growth optimization through material selection and morphology control, characterization for quality assessment, and device design through fabrication parameter optimization and performance prediction. This work aims to provide a comprehensive overview of the synergistic relationship between ML and 2D materials, outlining current advancements, challenges, and future prospects in AI-assisted material and device engineering.

二维（2D）材料已经成为下一代电子产品的基石，为设备小型化、节能计算和新型功能应用提供了前所未有的机会。它们的原子级厚度，加上卓越的电学、机械和光学特性，使它们在从超大规模晶体管到神经形态和量子器件的应用中非常有前途。然而，优化这些材料用于器件制造仍然是一个复杂和资源密集型的挑战，因为它们的合成、加工和集成涉及巨大的参数空间。机器学习（ML）是人工智能（AI）的一个关键方面，它已经成为一种强大的工具，通过从大型实验数据集中提取见解，并在高通量实验中自动化决策，加速基于2D材料的电子学的发展。这篇综述强调了机器学习在推进二维材料研究中的关键作用，重点是通过材料选择和形态控制来优化生长，通过质量评估来表征，通过制造参数优化和性能预测来设计器件。这项工作旨在全面概述机器学习和2D材料之间的协同关系，概述人工智能辅助材料和设备工程的当前进展、挑战和未来前景。

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引用次数: 0

1D and 2D nanostructures of transition metal dichalcogenides: Toward functional devices and sustainable technologies 过渡金属二硫族化合物的一维和二维纳米结构：迈向功能器件和可持续技术

IF 31.6 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials Science and Engineering: R: Reports

Pub Date : 2025-08-20 DOI: 10.1016/j.mser.2025.101083

Anamika Sen , Junoh Shim , Michael Ross Spinazze , Zerui Liu , Yukun Jin , Minsung Jeon , Youngki Yoon , Lin Jiang , Sunkook Kim

Transition metal dichalcogenides (TMDs) have gained considerable attention attributable to their intricate multidimensional structures and the structure-dependent unique electronic, mechanical, electrocatalytic, and optical properties, making them potential candidates for various applications. Incorporating nanostructures introduces new properties to TMDs compared to their pristine counterparts, significantly enhancing their performance across various electronic platforms. This review explores the sophisticated one-dimensional (1D) and two-dimensional (2D) nanostructures of semiconductor TMDs, including nanotubes, periodic arrays of nanorods, nanopores, and nanosheets. Additionally, we have summarized the unique physical and chemical properties modified by nanostructures, which mainly depend on low dimensional scale and size. Special attention is dedicated to exploring advanced nanofabrication techniques, covering both top-down and bottom-up methodologies. The focus extends to elucidate the contributions of low-dimensional TMDs to various applications, including electronics, sensing, catalysis and other pertinent fields, with an emphasis on their enhanced performance. Finally, we provide an overview of the current challenges and future directions of research, addressing issues related to the practical applications of nanostructured semiconductor TMDs.

过渡金属二硫族化合物（TMDs）由于其复杂的多维结构和与结构相关的独特的电子、机械、电催化和光学性质而受到广泛关注，具有广泛的应用前景。与原始的tmd相比，结合纳米结构为tmd引入了新的特性，显著提高了其在各种电子平台上的性能。本综述探讨了半导体tmd的复杂的一维（1D）和二维（2D）纳米结构，包括纳米管、纳米棒的周期阵列、纳米孔和纳米片。此外，我们还总结了纳米结构修饰的独特的物理和化学性质，这些性质主要取决于低维尺度和尺寸。特别关注致力于探索先进的纳米制造技术，涵盖自上而下和自下而上的方法。重点扩展到阐明低维tmd在各种应用中的贡献，包括电子，传感，催化和其他相关领域，并强调其增强的性能。最后，我们概述了当前的挑战和未来的研究方向，解决了与纳米结构半导体tmd的实际应用相关的问题。

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引用次数: 0

Energy-offset and dopant-location driven molecular doping of polar polyselenophene with high electrical conductivity toward flexible piezoresistive sensor 面向柔性压阻式传感器的高导电性极性聚硒烯的能量偏移和掺杂位置驱动分子掺杂

IF 31.6 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials Science and Engineering: R: Reports

Pub Date : 2025-08-13 DOI: 10.1016/j.mser.2025.101081

Siyi Luo , Huimin Lu , Zhen Xu , Fei Zhong , Jian Song , Lidong Chen , Hui Li

Molecular doping is an effective approach to modulate the electrical properties of polymer semiconductors. However, doping efficiency is often limited by incomplete charge transfer between polymers and dopants. Herein, we designed three polymers, Pg₃2T-Se, Pg₃2T-T, P2T-Se, with tailored highest occupied molecular orbital (HOMO) levels by combining selenophene/thiophene backbone and alkyl/oligoethylene glycol side chains. It is found that the degree of charge transfer is strongly dependent on the energy offset between polymer and dopant (F4TCNQ). Pg₃2T-Se with a shallowest HOMO level shows completely integer charge transfers (ICT) state, even dopant dianions (double doping) is detected at a low dopant concentration, while both ICT state and charge transfer complex (CTC) state are observed in doped P2T-Se with a deepest HOMO level. A remarkably electrical conductivity of Pg₃2T-Se up to 1135.9 S cm⁻¹ is obtained via single-solution doping, which is attributed to its high carrier concentration. The microstructure evolution of polymer packing upon doping further indicate that the dopants insert into the side chain will facilitate the generation of ICT states. Our results demonstrate that a large energy offset, together with dopant located in the side chains (away from the backbone), promotes high doping level, thereby achieving high conductivity. Moreover, high-conductivity polymer film is attractive for sensor due to a low power consumption and an enhanced sensitivity. F4TCNQ-doped Pg₃2T-Se acts as active layer in flexible piezoresistive sensor and shows high sensitivity and cyclic stability, demonstrating its promising potential in wearable devices.

分子掺杂是调制聚合物半导体电性能的有效途径。然而，掺杂效率往往受到聚合物和掺杂剂之间电荷转移不完全的限制。在此，我们设计了三种聚合物，Pg32T-Se, Pg32T-T, P2T-Se，通过结合硒苯/噻吩主链和烷基/低聚乙二醇侧链来定制最高占据分子轨道（HOMO）水平。发现电荷转移程度强烈依赖于聚合物和掺杂剂（F4TCNQ）之间的能量偏移。最浅HOMO能级的Pg32T-Se表现为完全整数电荷转移（ICT）状态，在低掺杂浓度下甚至可以检测到掺杂离子（双掺杂），而在最深HOMO能级掺杂的P2T-Se中可以观察到ICT状态和电荷转移复合物（CTC）状态。通过单溶液掺杂，Pg32T-Se的电导率可达1135.9 S cm−1，这是由于其载流子浓度高。聚合物填料在掺杂后的微观结构演变进一步表明，掺杂剂插入侧链会促进ICT态的生成。我们的研究结果表明，大的能量偏移，以及位于侧链（远离主链）的掺杂剂，促进了高掺杂水平，从而实现了高电导率。此外，由于低功耗和提高灵敏度，高导电性聚合物薄膜对传感器具有吸引力。掺f4tcnq的Pg32T-Se作为柔性压阻传感器的有源层，具有较高的灵敏度和循环稳定性，在可穿戴设备中具有广阔的应用前景。

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引用次数: 0

In-situ alloying modulation in additive manufacturing of titanium-tantalum alloy: From melt pool modelling to process development 钛钽合金增材制造中的原位合金化调制：从熔池建模到工艺开发

IF 31.6 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials Science and Engineering: R: Reports

Pub Date : 2025-08-12 DOI: 10.1016/j.mser.2025.101082

Yanting Liu , Jinlong Su , Yuehua Li , Ri Han , Raymond Chung Wen Wong , James Hoi Po Hui , Swee Leong Sing

In-situ alloying by additive manufacturing (AM) is a versatile and efficient approach for the rapid development of new materials. However, its successful implementation critically depends on achieving effective and homogeneous alloying during the process — an outcome that is highly sensitive to the process parameters and remains challenging to predict. In this study, a process map incorporating the degree of in-situ alloying was developed for laser powder bed fusion (LPBF) of a titanium-tantalum binary alloy with 30 wt% tantalum (Ti-30Ta) by correlating single-track melt pool characteristics with bulk sample properties through the integration of machine learning and analytical modelling. This approach coupled and quantified the relationship between the melt pool mode and mechanical properties, refining the process window for the Ti-30Ta alloy system. Under the defined process window, fabricated Ti-30Ta bulk samples exhibited optimised mechanical properties, with an ultimate tensile strength (UTS) of 745.8 MPa and an elongation of 16.9 %. Synchrotron X-ray diffraction analysis confirmed that the microstructure is predominantly composed of orthorhombic α″ phase. Furthermore, the samples demonstrated enhanced biocompatibility and a favorable balance between structural density and alloy homogeneity, underscoring their broad application potential. Beyond its direct implications for Ti-30Ta alloy, this study establishes a transferable framework for in-situ alloying process maps development across various alloy systems, paving the way for more advanced alloy development and manufacturing strategies in the field of in-situ alloying AM and beyond.

原位合金化增材制造（AM）是一种快速开发新材料的通用而高效的方法。然而，它的成功实施关键取决于在过程中实现有效和均匀的合金化-这一结果对工艺参数高度敏感，并且仍然具有挑战性预测。在本研究中，通过集成机器学习和分析建模，将单轨熔池特征与体样特性相关联，开发了含有30 wt%钽（Ti-30Ta）的钛-钽二元合金的激光粉末床熔合（LPBF）的过程图，其中包含了原位合金化程度。该方法耦合并量化了熔池模式与力学性能之间的关系，细化了Ti-30Ta合金体系的工艺窗口。在确定的工艺窗口下，制备的Ti-30Ta体试样具有最佳的力学性能，其极限抗拉强度（UTS）为745.8 MPa，伸长率为16.9 %。同步加速器x射线衍射分析证实，其微观结构主要由正交α″相组成。此外，样品具有较强的生物相容性，并在结构密度和合金均匀性之间取得了良好的平衡，具有广阔的应用潜力。除了对Ti-30Ta合金的直接影响外，本研究还为跨各种合金系统的原位合金化工艺图开发建立了一个可转移的框架，为原位合金化AM等领域更先进的合金开发和制造策略铺平了道路。

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引用次数: 0