Materials Science and Engineering: R: Reports最新文献_第6页

Corrigendum to “On-chip atomristors” [Mater. Sci. Eng.: R: Rep. 165 (2025) 101006] “片上原子电阻”的勘误表[Mater.]科学。Eng。[R：众议员165 (2025)101006]

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

Materials Science and Engineering: R: Reports

Pub Date : 2025-09-01 DOI: 10.1016/j.mser.2025.101046

Yue Yuan , Sebastian Pazos , Junzhu Li , Bo Tian , Osamah Alharbi , Xixiang Zhang , Deji Akinwande , Mario Lanza

引用次数: 0

Corrigendum to “Advancing water collection efficiency in hybrid solar evaporators: Key factors, strategic innovations, and synergistic applications” [Mater. Sci. Eng.: R: Rep. 165 (2025) 101018] “提高混合太阳能蒸发器的集水效率：关键因素、战略创新和协同应用”的勘误表[Mater]。科学。Eng。[R：众议员165 (2025)101018]

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

Materials Science and Engineering: R: Reports

Pub Date : 2025-09-01 DOI: 10.1016/j.mser.2025.101069

Muhammad Sultan Irshad , Naila Arshad , Ghazala Maqsood , Iftikhar Ahmed , Bushra Shakoor , Muhammad Sohail Asghar , Uzma Ghazanfar , Liangyou Lin , M.A.K. Yousaf Shah , Irshad Hussain , Xia Chen , Jianying Wang , Chen Yi , Jinhua Li , Jingwen Qian , Wenlu Li , Zafar Said , Hongrong Li , Nang Xuan Ho , Hao Wang , Xianbao Wang

引用次数: 0

Soft magnetic amorphous alloys and their derivatives 软磁非晶合金及其衍生物

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

Materials Science and Engineering: R: Reports

Pub Date : 2025-08-30 DOI: 10.1016/j.mser.2025.101078

Lingxiang Shi , Tiantian Chai , Xiangning Du , Jili Jia , Kefu Yao , Zhengjun Zhang , Na Chen

With the rapid development of information technology including artificial intelligence, the issue related to power consumption of current electrical and electronic devices has become increasingly serious. Hence, there is a pressing need to design and develop high-performance materials that can meet the critical demands for low power consumption and high energy conversion efficiency. Soft magnetic amorphous alloys (SMAAs) and their derivatives, mainly including soft magnetic nanocrystalline alloys (SMNAs), are nowadays state-of-the-art energy-saving materials due to their high permeability (μ), low coercivity (H_c), low saturation magnetostriction (λ_s) and high saturation magnetic induction (B_s), which result in low core loss and high energy conversion efficiency, particularly for high-frequency applications. Over the past few decades, compositional design, structural modification and subsequent process control have been utilized to enhance B_s, increase μ, reduce H_c and decrease λ_s. Through a comprehensive survey on these results in literature, this review article aims to clarify the key factors influencing the soft magnetic properties of SMAAs/SMNAs from both experimental and theoretical viewpoints and further uncover the mechanisms underlying the correlations among composition, structure, processing and properties as well as their coupling effects. In addition, the current industrial application status of SMAAs/SMNAs is summarized together with the related technological challenges that impede their potential applications. To sustain the rapid development of SMAAs/SMNAs, new perspectives are also proposed for making possible breakthroughs in their soft magnetic properties and cost performance, which may trigger new research realm and further extend their application range.

随着包括人工智能在内的信息技术的快速发展，当前电子电气设备的功耗问题日益严重。因此，迫切需要设计和开发高性能材料，以满足低功耗和高能量转换效率的关键要求。软磁非晶合金（SMAAs）及其衍生物，主要包括软磁纳米晶合金（SMNAs），由于其高磁导率（μ），低矫顽力（Hc），低饱和磁致伸缩（λs）和高饱和磁感应强度（Bs），导致低磁芯损耗和高能量转换效率，特别是在高频应用中，是当今最先进的节能材料。在过去的几十年里，通过成分设计、结构改造和随后的工艺控制，提高了Bs，增加了μ，降低了Hc，降低了λs。本文旨在通过对相关文献的综合梳理，从实验和理论两方面阐明影响SMAAs/SMNAs软磁性能的关键因素，并进一步揭示其组成、结构、加工和性能之间的相互关系及其耦合效应的机制。此外，总结了目前SMAAs/SMNAs的工业应用现状，以及阻碍其潜在应用的相关技术挑战。为了保持SMAAs/SMNAs的快速发展，还提出了在其软磁性能和成本性能方面可能取得突破的新视角，这可能会引发新的研究领域，进一步扩大其应用范围。

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引用次数: 0

Solid-state hydrogen storage alloys for production-storage and transportation-application coupling at ambient temperature: A review 室温下用于生产-储存和运输-应用耦合的固态储氢合金：综述

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

Materials Science and Engineering: R: Reports

Pub Date : 2025-08-30 DOI: 10.1016/j.mser.2025.101089

Junyao Tu , Panpan Zhou , Shuling Chen , Shaoyang Shen , Xingyu Liu , Xuezhang Xiao , Zhinian Li , Liuzhang Ouyang

Renewable energy is essential for achieving sustainable development in human society. As a renewable energy carrier, hydrogen holds significant promise as an alternative to traditional energy sources due to its high energy density, abundant availability, and zero-emission combustion. However, challenges such as high cost and low efficiency in hydrogen production, storage, transportation, and application contribute to its relatively low overall energy conversion efficiency. Therefore, establishing a comprehensive industrial system is crucial to advance the utilization of hydrogen energy. This review proposes an integrated industrial framework that includes offshore wind power and seawater electrolysis for hydrogen production, purification, storage, transportation, and application in fuel cells, offering a novel strategy for the development of the hydrogen energy industry. Additionally, we summarize advances in hydrogen storage alloys (HSAs), which can directly absorb hydrogen produced from seawater electrolysis and supply it at the required pressure for fuel cell applications. Based on their performance, we identify suitable HSAs from the existing studies that meet these criteria. These selected HSAs are integrated with hydrogen storage tanks and marine transportation to establish a completely coupled engineering system. This review offers insights into the future developmental potential of this system and its prospects for large-scale practical applications.

可再生能源是实现人类社会可持续发展的必要条件。作为一种可再生能源载体，氢因其高能量密度、丰富的可用性和零排放燃烧而成为传统能源的替代品。然而，氢气的生产、储存、运输和应用等方面的高成本、低效率等挑战导致其整体能量转换效率相对较低。因此，建立完善的产业体系是推进氢能利用的关键。本文提出了包括海上风电和海水电解制氢、净化、储存、运输和燃料电池应用在内的一体化产业框架，为氢能产业的发展提供了新的战略思路。此外，我们总结了储氢合金（HSAs）的进展，它可以直接吸收海水电解产生的氢，并在燃料电池应用所需的压力下提供氢。根据它们的表现，我们从现有的研究中确定符合这些标准的合适的HSAs。这些选定的HSAs与储氢罐和海洋运输相结合，建立了一个完全耦合的工程系统。本文对该系统的未来发展潜力及其大规模实际应用前景进行了展望。

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引用次数: 0

The review of sodium and potassium-ion battery advances in density functional theory: Progresses, challenges and prospects 钠离子和钾离子电池密度泛函理论研究进展：进展、挑战与展望

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

Materials Science and Engineering: R: Reports

Pub Date : 2025-08-28 DOI: 10.1016/j.mser.2025.101097

Mei Yang , Shuling Chen , Yunqi Jia , Liuzhang Ouyang

Sodium-ion batteries (SIBs) and potassium-ion batteries (PIBs) have emerged as promising alternatives for large-scale energy storage due to their abundant raw materials, low cost, and high safety. Density functional theory (DFT) has become a crucial technique for screening electrode materials due to the high cost and time-consuming nature of experimental research. Therefore, we present a systematic discussion of DFT applications in SIBs and PIBs studies. This review first outlines DFT processes and related concepts, including theoretical development, computational content, relevant software, and boundary condition description. It then clarifies the working principles and key challenges of SIBs and PIBs. The third part focuses on three primary implements of DFT. First, structural stability is enhanced through energy reduction, as demonstrated by structural optimization, defect design, and composite phase analysis. Second, the relationship between electronic structure modifications and battery performance is elucidated by examining molecular orbitals, charge density, band structures, and density of states. Third, superior reaction kinetics are predicated upon the identification of optimal ion migration pathways and minimal energy barriers. Finally, to address the inherent limitations of DFT, particularly in computational efficiency, the restricted scale of atoms and electrons, and the accurate modelling of electrochemical conditions, it is recommended to integrate DFT with machine learning and other computational approaches. This combined approach leverages complementary strengths to enhance efficiency and expand simulation scale. This review serves as a valuable reference for research on superior performance SIBs and PIBs, promoting more efficient energy storage solutions.

钠离子电池（SIBs）和钾离子电池（PIBs）因其原料丰富、成本低、安全性高而成为大规模储能的有希望的替代方案。密度泛函理论（DFT）由于实验研究成本高、耗时长，已成为筛选电极材料的关键技术。因此，我们对DFT在sib和pib研究中的应用进行了系统的讨论。本文首先概述了DFT过程和相关概念，包括理论发展、计算内容、相关软件和边界条件描述。然后阐明sib和pib的工作原理和主要挑战。第三部分重点介绍了DFT的三种主要实现。首先，通过结构优化、缺陷设计和复合材料相分析，通过降低能量来提高结构稳定性。其次，通过考察分子轨道、电荷密度、能带结构和态密度，阐明了电子结构修饰与电池性能之间的关系。第三，优异的反应动力学是建立在确定最佳离子迁移途径和最小能量势垒的基础上的。最后，为了解决DFT固有的局限性，特别是在计算效率、原子和电子的限制尺度以及电化学条件的精确建模方面，建议将DFT与机器学习和其他计算方法相结合。这种结合的方法利用互补的优势来提高效率和扩大模拟规模。本文为高性能sib和pib的研究提供了有价值的参考，促进了更高效的储能解决方案。

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引用次数: 0

Fully photonic controlled flexible synapse for bionic machine vision and reconfigurable logic applications 全光子控制柔性突触在仿生机器视觉和可重构逻辑中的应用

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

Materials Science and Engineering: R: Reports

Pub Date : 2025-08-28 DOI: 10.1016/j.mser.2025.101088

Manoj Kumar Rajbhar , Dayanand Kumar , Hanrui Li , Dhananjay D. Kumbhar , Amit Singh , Abdul Momin Syed , Md Hasan Raza Ansari , Serhii Tytov , Bashayr Alqahtani , Hoonkyung Lee , Nazek El-Atab

Optoelectronic synapses integrating sensing and synaptic functions are promising for neuromorphic computing, particularly in visual information processing. Traditional designs rely on electrical stimulation for bidirectional weight updating, limiting speed, bandwidth, and integration density. This work presents a wafer-scale, flexible silicon-based fully optical synaptic device capable of bidirectional optical response. This improvement facilitates excitatory and inhibitory synaptic behaviors under illumination with 465 nm and 785 nm wavelengths, respectively. The device demonstrates a range of optical synaptic features, including short-term plasticity, long-term plasticity, paired-pulse facilitation, paired-pulse depression, short-term memory (STM), long-term memory, and cognitive processes such as learning, forgetting, and relearning, particularly under 465 nm light stimulus. The system enables real-time image detection, in situ memorization, and processing within a single memory cell, reducing energy overhead and latency from traditional data conversion and transmission. Additionally, the device functions as a nonvolatile, reconfigurable logic gate. By leveraging three distinct wavelengths 465 nm and 532 nm, and 785 nm the system successfully implements logical operations such as “AND”, “OR”, “NAND” and “NOR”. It also integrates associative learning into the optical synaptic framework. This breakthrough marks a key step toward optogenetics-inspired neuromorphic computing, enabling adaptive processing networks and advancing next-generation wearable electronics and efficient computational systems.

光电突触集传感和突触功能于一体，在神经形态计算特别是视觉信息处理中具有广阔的应用前景。传统设计依赖电刺激进行双向权重更新，限制了速度、带宽和集成密度。本研究提出了一种晶圆级、柔性的硅基全光突触器件，具有双向光响应能力。这种改进促进了突触在465 nm和785 nm波长下的兴奋性和抑制性行为。该装置展示了一系列的光学突触特征，包括短期可塑性、长期可塑性、配对脉冲促进、配对脉冲抑制、短期记忆（STM）、长期记忆以及学习、遗忘和再学习等认知过程，特别是在465 nm光刺激下。该系统支持实时图像检测、原位记忆和单个存储单元内的处理，减少了传统数据转换和传输的能量开销和延迟。此外，该器件作为一个非易失性，可重构的逻辑门。该系统利用465 nm、532 nm和785 nm三个不同的波长，成功地实现了“and”、“OR”、“NAND”和“NOR”等逻辑运算。它还将联想学习整合到光学突触框架中。这一突破标志着朝着光遗传学启发的神经形态计算迈出了关键一步，使自适应处理网络成为可能，并推动下一代可穿戴电子设备和高效计算系统的发展。

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引用次数: 0

Self-confined oxidation domains in dual-metal sulfide catalyst enables active sites for selective photoconversion of carbon dioxide to methanol by pure water 双金属硫化物催化剂的自限制氧化域使活性位点能够通过纯水将二氧化碳选择性光转化为甲醇

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

Materials Science and Engineering: R: Reports

Pub Date : 2025-08-27 DOI: 10.1016/j.mser.2025.101093

Akkammagari Putta Rangappa , Dharani Praveen Kumar , Khai H. Do , Madhusudana Gopannagari , Kethireddy Arun Joshi Reddy , Xiaowen Ruan , Sai Kishore Ravi , Jun Zhao , Yuexing Zhang , Tae Kyu Kim

The selective photoreduction of carbon dioxide (CO₂) into high-value products, such as methanol, is a highly desirable yet challenging research area. Herein, we report a facile hydro-solvothermal-assisted method (HSM) for constructing dual-metal-site (Sn, In)-based photocatalysts. The resulting composites function as synergistic catalysts, achieving nearly 100 % selectivity for methanol in pure water under an AM1.5 G solar simulator. The formation of a highly stable Sn–C–O–In configuration within the dual-metal-site catalyst (SnIn₄S₈) facilitates the promotion of key intermediates (*COOH/*CHO) essential for the selective photoreduction of CO₂ to methanol following protonation. Additionally, the oxidation domains confined on the SnIn₄S₈ surface can be self-regulated by adjusting the water to ethylene glycol ratio during the HSM process. Experimental and theoretical results indicate that these oxidation domains not only favor the methanol production pathway but also enhance CO₂ adsorption and activation, as well as charge separation and transport. Consequently, the photoreduction efficiency of CO₂ is boosted, achieving rates twenty times higher than those of prismatic SnIn₄S₈. This work provides valuable insights into the role of oxidation domains confined within dual-metal sulfides in CO₂ photoreduction, paving the way for higher CO₂ reduction efficiency while maintaining the selectivity of the parent catalyst.

二氧化碳（CO2）选择性光还原成高价值产品，如甲醇，是一个非常理想但具有挑战性的研究领域。在此，我们报告了一种简单的水溶剂热辅助方法（HSM）来构建双金属位（Sn, In）基光催化剂。所得复合材料作为协同催化剂，在AM1.5 G太阳模拟器下，在纯水中对甲醇的选择性接近100% %。在双金属位催化剂（SnIn4S8）内形成高度稳定的Sn-C-O-In构型，促进了关键中间体（*COOH/*CHO）在质子化后选择性光还原CO2为甲醇所必需的。此外，HSM过程中，SnIn4S8表面的氧化域可以通过调节水与乙二醇的比例进行自我调节。实验和理论结果表明，这些氧化结构域不仅有利于甲醇的生成途径，而且促进了CO2的吸附和活化，以及电荷的分离和运输。因此，CO2的光还原效率提高了，达到了比棱镜SnIn4S8高20倍的速率。这项工作为双金属硫化物氧化域在CO2光还原中的作用提供了有价值的见解，为在保持母体催化剂选择性的同时提高CO2还原效率铺平了道路。

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引用次数: 0

Recent advances in potential high entropy materials for electrocatalysis applications 用于电催化的潜在高熵材料的最新进展

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

Materials Science and Engineering: R: Reports

Pub Date : 2025-08-26 DOI: 10.1016/j.mser.2025.101091

Purna Prasad Dhakal , Duy Thanh Tran , Deepanshu Malhotra , Phan Khanh Linh Tran , Ganesh Bhandari , Nam Hoon Kim , Joong Hee Lee

High-entropy materials (HEMs) constitute a new class of materials composed of five or more elements in a cohesive single-phase lattice structure, providing a vast compositional design space that endows them with distinctive physiochemical properties and exceptional catalytic activities. Significant attention has recently been directed towards the development of new high-efficiency HEM systems through simultaneous theoretical and experimental approaches. However, to date, no comprehensive review has fully assessed the advances in HEMs across various emerging energy storage and conversion applications; thus, a thorough review focusing on HEM-based electrocatalysts would be extremely useful to researchers. This review highlights recent developments in innovative synthetic strategies for designing HEM-based catalysts. The correlation between structure and physiochemical properties is well-established through diverse experiments and theoretical studies. We also explore the potential of HEMs for future applications in energy conversion and storage. Additionally, the prospects, opportunities, and challenges in the discovery, design, and use of HEMs will be discussed across different catalytic domains. Our critical review aims to provide invaluable insights and foundational knowledge on HEMs development to the research community, thereby promoting their application in future electrocatalysis in both academic and industrial settings.

高熵材料（High-entropy materials, hem）是一类由五种或五种以上元素组成的具有内聚性的单相晶格结构的新型材料，为其提供了广阔的组合设计空间，使其具有独特的物理化学性质和特殊的催化活性。最近，通过同时采用理论和实验方法，对开发新的高效HEM系统给予了极大的关注。然而，到目前为止，还没有全面的综述充分评估hem在各种新兴能源存储和转换应用中的进展；因此，对基于hem的电催化剂进行全面的综述将对研究人员非常有用。本文综述了设计hem基催化剂的创新合成策略的最新进展。结构与理化性质之间的相关性是通过各种实验和理论研究得到证实的。我们还探讨了hem在能量转换和存储方面的未来应用潜力。此外，将讨论在不同催化领域中发现、设计和使用HEMs的前景、机遇和挑战。我们的评论旨在为研究界提供关于HEMs发展的宝贵见解和基础知识，从而促进其在未来电催化学术和工业环境中的应用。

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引用次数: 0

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