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Nimble native oxides: Printing circuits from the skin of liquid metal 灵活的原生氧化物:从液态金属表皮打印电路
IF 17.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-11-06 DOI: 10.1016/j.matt.2024.09.020
William J. Scheideler
Stretchable materials, such as liquid metals, promise to transform microelectronics hardware into soft, wearable devices. However, a recent report by Kong et al. shows that liquid metals are much more than stretchable wires; their metal-air interfaces offer surprising possibilities for synthesis and deposition of multifunctional two-dimensional (2D) transparent oxide nanomaterials.
液态金属等可拉伸材料有望将微电子硬件转变为柔软的可穿戴设备。然而,Kong 等人的最新报告显示,液态金属不仅仅是可拉伸的金属丝,其金属-空气界面为合成和沉积多功能二维(2D)透明氧化物纳米材料提供了令人惊喜的可能性。
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引用次数: 0
Do materials have a genome, and if they do, what can be done with it? 材料是否有基因组,如果有,又该如何处理?
IF 17.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-11-06 DOI: 10.1016/j.matt.2024.06.026
Simon J.L. Billinge
Materials do not have a genome, yet for the past decade, and into the next decade, in the USA, there has been a presidential and inter-agency funding initiative called the “Materials Genome Initiative (MGI).” This initiative has nothing to do with real genomes, materials, or otherwise. However, in this paper, we, somewhat whimsically, explore some ideas about what a material’s gene could be and how it could be used to further our understanding of materials structure and properties. The result is a slightly non-conventional, less crystal-centric, view of materials structure that we believe can, will, and is resulting in novel materials insights.
材料并没有基因组,但在过去十年以及未来十年,美国总统和机构间一直在资助一项名为 "材料基因组计划(MGI)"的计划。这项计划与真正的基因组、材料或其他方面毫无关系。不过,在本文中,我们有点异想天开地探讨了一些关于材料基因的想法,以及如何利用它来加深我们对材料结构和特性的理解。我们相信,这种非传统的、不那么以晶体为中心的材料结构观点能够、将会并正在带来新颖的材料见解。
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引用次数: 0
Direct observation of autonomous self-healing in silver 直接观察银的自主自愈
IF 17.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-11-06 DOI: 10.1016/j.matt.2024.07.009
Jianlin Wang , Qiuhao Xu , Muhua Sun , Jiyu Xu , Pan Chen , Bohan Yu , Zhongqi Wu , Zitao Chen , Xudan Huang , Huacong Sun , Lei Liao , Chen Cai , Xiaomin Li , Lifen Wang , Xuezeng Tian , Zhi Xu , Sheng Meng , Wenlong Wang , Xuedong Bai
Although the concept of self-healing has undergone a recent resurgence of interest in polymers and other soft materials, it is extremely rare for metal solids to autonomously self-repair structural damage without any external trigger. Here, we report on the direct in situ observation of such an autonomous solid-state self-healing behavior in nanoscale silver (Ag) by utilizing atomic-resolution transmission electron microscopy (TEM). Two representative kinds of structural damage—both nanopores and nanocracks—are observed to undergo automatic self-repair at room temperature and well below (down to 173 K) without any external intervention. Importantly, such an autonomous self-healing phenomenon does not occur in gold (Au) at room temperature, as it is hindered by the stronger Au-Au bonding resulting from the known relativistic effect. A combination of atomistic imaging and molecular dynamics simulation unravels that the self-healing process is accomplished through surface-mediated diffusion of Ag atoms as driven by chemical potential imbalance due to the Gibbs-Thomson effect.
虽然自愈合的概念最近在聚合物和其他软材料中再次引起人们的关注,但金属固体在没有任何外部触发的情况下自主自我修复结构损伤的情况却极为罕见。在此,我们报告了利用原子分辨率透射电子显微镜(TEM)在纳米级银(Ag)中直接原位观察到的这种自主固态自愈合行为。观察到两种具有代表性的结构损伤--纳米孔和纳米裂缝--在室温和远低于室温(低至 173 K)的条件下进行自动自我修复,无需任何外部干预。重要的是,金(Au)在室温下不会出现这种自主自修复现象,因为它受到已知相对论效应产生的更强金-金键的阻碍。原子成像和分子动力学模拟的结合揭示了自愈合过程是通过表面介导的银原子扩散完成的,而扩散是由吉布斯-汤姆森效应导致的化学势不平衡驱动的。
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引用次数: 0
Weaving innovative fabrics of knowledge between institutionalized sciences and Indigenous ways of knowing 在制度化科学与土著认知方式之间编织创新的知识结构
IF 17.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-11-06 DOI: 10.1016/j.matt.2024.10.013
Michael Charles
In the rapid chase to address humanity’s grand challenges, we must embrace multiple knowledge systems, including Indigenous ways of knowing, to fuel innovation, translate science into practice, and invite institutional sciences to evolve in an increasingly globalized world.
在应对人类巨大挑战的快速追逐中,我们必须接受多种知识体系,包括土著人的认知方式,以推动创新,将科学转化为实践,并促使机构科学在日益全球化的世界中不断发展。
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引用次数: 0
Bioinspired processing for the sustainable fabrication of high-performance bioinspired ceramic-reinforced polymer composites 可持续制造高性能生物启发陶瓷增强聚合物复合材料的生物启发加工技术
IF 17.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-11-06 DOI: 10.1016/j.matt.2024.09.011
Slocha Sapasakulvanit , Jia Heng Teoh , Hortense Le Ferrand
Although bioinspired materials with outstanding mechanical properties have been developed successfully, current manufacturing methods are energy consuming and rely on harsh conditions. On the contrary, natural ceramic composites are grown at ambient temperature and pressure, exhibiting high performance that may not be suitable for engineering applications. Based on highly mineralized biological ceramic composites, five key structural elements were identified: (1) anisotropic inorganic building blocks, (2) tight packing of the organic phase, (3) weak inorganic-inorganic interfaces but strong inorganic-organic bonding, (4) complex microstructural arrangements, and (5) presence of water. While there is a bioinspired strategy for each established element, some 3D printing methods appear promising in combining all into a single process. A better assessment on the sustainability of bioinspired ceramic composites and their marketization is also critical in view of future applications. This review serves to inform researchers on approaches to develop sustainable processes for advanced ceramic composites using bioinspiration.
虽然具有出色机械性能的生物启发材料已经研发成功,但目前的制造方法耗能且依赖于苛刻的条件。相反,天然陶瓷复合材料在环境温度和压力下生长,表现出的高性能可能并不适合工程应用。基于高度矿化的生物陶瓷复合材料,确定了五个关键的结构元素:(1) 各向异性的无机构件,(2) 有机相的紧密堆积,(3) 弱的无机-无机界面但强的无机-有机结合,(4) 复杂的微结构排列,以及 (5) 水的存在。虽然每种既定元素都有一种生物启发策略,但一些三维打印方法似乎有望将所有元素结合到一个过程中。鉴于未来的应用,更好地评估生物启发陶瓷复合材料的可持续性及其市场化也至关重要。本综述旨在向研究人员介绍利用生物启发开发先进陶瓷复合材料可持续工艺的方法。
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引用次数: 0
Continuous lithium extraction from brine by efficient redox-couple electrodialysis 通过高效氧化还原耦合电渗析从盐水中连续提取锂
IF 17.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-11-06 DOI: 10.1016/j.matt.2024.07.014
Rong Xu , Xin Xiao , Ge Zhang , Yusheng Ye , Pu Zhang , Yufei Yang , Sanzeeda Baig Shuchi , Yi Cui
The rapid growth of lithium (Li)-ion batteries has catalyzed an unprecedented demand for Li. However, global Li supplies struggle to meet the ever-increasing demand because traditional Li mining processes are slow, expensive, and environmentally unsustainable. Here, we introduce an efficient redox-couple electrodialysis (RCE) approach for sustainable Li extraction from brine. The electrodialysis is driven by the same half-cell electrochemical reaction but operated in opposite directions—hydrogen evolution reaction and hydrogen oxidation reaction—which consumes minimal energy due to the zero-equilibrium full-cell voltage and the low overpotential. We demonstrate continuous Li extraction from brine for over 100 h, with a low operating voltage of 0.25 V, a faradaic efficiency of 88.87%, and a Li selectivity of 0.9954. Notably, the Li extraction via RCE consumes the specific energy of a mere 1.1 kWh kgLi−1, an order of magnitude lower than the energy demands of previously reported Li extraction techniques.
锂(Li)离子电池的快速发展催化了对锂的空前需求。然而,由于传统的锂矿开采工艺缓慢、昂贵且对环境不可持续,全球锂供应难以满足日益增长的需求。在此,我们介绍一种高效的氧化还原耦合电渗析(RCE)方法,用于从盐水中可持续地提取锂。电渗析由相同的半电池电化学反应驱动,但以相反的方向运行--氢进化反应和氢氧化反应--由于零平衡全电池电压和低过电位,因此能耗极低。我们证明了从盐水中连续提取锂超过 100 小时,工作电压低至 0.25 V,远红外效率为 88.87%,锂选择性为 0.9954。值得注意的是,通过 RCE 提取锂消耗的比能量仅为 1.1 kWh kgLi-1,比之前报道的锂提取技术的能耗低一个数量级。
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引用次数: 0
A general flame aerosol route to high-entropy nanoceramics 高熵纳米陶瓷的一般火焰气溶胶路线
IF 17.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-11-06 DOI: 10.1016/j.matt.2024.07.019
Shuo Liu , Chih-Wen Pao , Jeng-Lung Chen , Sichi Li , Kaiwen Chen , Zhengxi Xuan , Chengyu Song , Jeffrey J. Urban , Mark T. Swihart , Chaochao Dun
High-entropy ceramics are an emerging class of materials with fascinating characteristics. However, elemental immiscibility and crystal complexity limit the development of a general synthesis strategy, and common methods yield bulk materials. Here, we introduce a transformative non-equilibrium flame aerosol technique for synthesizing high-entropy nanoceramics. This scalable, one-step process enables the production of high-entropy oxide nanoceramics with an unprecedented diversity of crystal structures, including fluorite-phase materials that integrate up to 22 distinct cation elements. The method’s capacity for entropic stabilization and grain refinement significantly improves the thermal stability of these nanostructures. In a representative application, a Pt-(MgCoNiCuZn)O high-entropy single-atom catalyst showed superior activity and long-term stability, maintaining constant CO2 conversion over 670 h and dramatically outperforming conventional catalysts. The general approach opens a vast composition and structure space for the creation of high-entropy oxide nanomaterials for application across diverse fields, including catalysis, energy storage, sensing, and thermal management.
高熵陶瓷是一类新兴材料,具有迷人的特性。然而,元素的不溶性和晶体的复杂性限制了通用合成策略的发展,而常见的方法则会产生块状材料。在此,我们介绍一种用于合成高熵纳米陶瓷的变革性非平衡火焰气溶胶技术。这种可扩展的一步法工艺能够生产出具有前所未有的多种晶体结构的高熵氧化物纳米陶瓷,包括集成了多达 22 种不同阳离子元素的萤石相材料。该方法的熵稳定和晶粒细化能力显著提高了这些纳米结构的热稳定性。在一个具有代表性的应用中,一种铂-(镁钴镍铜锌)O 高熵单原子催化剂显示出卓越的活性和长期稳定性,在 670 小时内保持恒定的二氧化碳转化率,大大优于传统催化剂。这种通用方法为创造高熵氧化物纳米材料开辟了广阔的组成和结构空间,可应用于催化、储能、传感和热管理等多个领域。
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引用次数: 0
Activating Ru nanoclusters for robust oxygen reduction in aqueous wide-temperature zinc-air batteries 活化 Ru 纳米团簇,在水性宽温锌-空气电池中实现强效氧还原
IF 17.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-11-06 DOI: 10.1016/j.matt.2024.08.005
Rupeng Liu (刘如鹏) , Chunhuan Jiang (姜春环) , Jinhan Guo (郭金函) , Yue Zheng (郑月) , Leting Zhang (张乐婷) , Xiaolong Liang (梁晓龙) , Huimin Gao (高慧敏) , Jiancheng Zhao (赵建成) , Yunhang Fan (范云航) , Qing Chen (陈庆) , Wenhui He (何文辉) , Lehui Lu (逯乐慧)
Aqueous wide-temperature zinc-air batteries (AWT-ZABs) have the potential to meet the fast-growing energy demand in extreme climates (−60°C to 60°C). However, cathodic oxygen reduction reaction (ORR) kinetics are susceptible to temperature fluctuations. Herein, we present a highly active and durable ORR catalyst composed of Ru nanoclusters and neighboring Mn-N4 moieties (RuNC@Mn-N4). The RuNC@Mn-N4 achieved a half-wave potential of 0.925 V, surpassing known Ru-based electrocatalysts, with minimal decay after 50,000 cycles. In AWT-ZABs, the RuNC@Mn-N4 delivered a peak power density (Pmax) of 320.6 mW cm−2 at 60°C and a 1.5- to 3-fold higher Pmax at −20°C to −60°C compared to Pt/C. Our mechanistic investigations unveil the electron-deficient nature of Ru nanoclusters activated by the Mn-N4 moieties, which enables the optimized adsorption/dissociation of O2 and facilitates low-temperature protonation of intermediates, resulting in speedy wide-temperature ORR kinetics. This study sets the stage for the deliberate design of ORR electrocatalysts for optimal AWT-ZAB performance.
水基宽温锌-空气电池(AWT-ZAB)有望满足极端气候条件下(-60°C 至 60°C)快速增长的能源需求。然而,阴极氧还原反应(ORR)动力学易受温度波动的影响。在此,我们提出了一种由 Ru 纳米团簇和邻近的 Mn-N4 分子(RuNC@Mn-N4)组成的高活性、高持久性 ORR 催化剂。RuNC@Mn-N4 的半波电位达到 0.925 V,超过了已知的 Ru 基电催化剂,而且在 50,000 次循环后衰减极小。在 AWT-ZAB 中,与 Pt/C 相比,RuNC@Mn-N4 在 60°C 时的峰值功率密度(Pmax)为 320.6 mW cm-2,在 -20°C 至 -60°C 时的峰值功率密度(Pmax)高出 1.5 至 3 倍。我们的机理研究揭示了由 Mn-N4 分子激活的 Ru 纳米团簇的缺电子特性,这使得 O2 的吸附/解离得以优化,并促进了中间产物的低温质子化,从而产生了快速的宽温 ORR 动力学。这项研究为精心设计具有最佳 AWT-ZAB 性能的 ORR 电催化剂奠定了基础。
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引用次数: 0
Soft bio-metamaterials with high acoustic transparency and gradient refractive index for tunable acoustic beamformer 用于可调声波束成形器的具有高声透明性和梯度折射率的软生物超材料
IF 17.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-11-06 DOI: 10.1016/j.matt.2024.06.048
Jinhu Zhang , Nana Zhou , Erqian Dong , Chuang Zhang , Zhongchang Song , Sheng Liu , Chen Yang , Xiaochun Su , Shujia Wang , Yu Zhang
Dolphins utilize soft forehead tissues for dynamic detection by efficiently transmitting and manipulating broadband acoustic waves. Imparting high acoustic transparency, gradient refractive index, and softness to acoustic functional materials can significantly enhance sound wave manipulation. Conventional metamaterials, consisting of solid and impedance-mismatched meta-atoms, have limitations in achieving acoustic transparency and flexibility. Here, we overcome these constraints with a new class of acoustic soft bio-metamaterials (SBMs) composed of solid microparticles or liquid microdroplets dispersed in a hyper-elastomer. The SBMs exhibit an extraordinary combination of high acoustic transparency with transmission coefficients near 1, a gradient refractive index above 1.25, and a low elastic modulus under 100 kPa comparable to biological tissues. Furthermore, we developed a dolphin-inspired tunable subwavelength acoustic beamformer using SBMs, which can dynamically modulate acoustic beam patterns through mechanical stretching. SBMs offer a new design paradigm for acoustic soft metamaterials and have potential applications in underwater monitoring and biomedical ultrasound.
海豚利用额头软组织有效传输和操纵宽带声波,进行动态探测。为声学功能材料赋予高声学透明度、梯度折射率和柔软性,可以显著提高声波操纵能力。传统的超材料由固态和阻抗不匹配的元原子组成,在实现声学透明度和柔软性方面存在局限性。在这里,我们利用由分散在超弹性体中的固体微颗粒或液体微滴组成的新型声学软生物超材料(SBM)克服了这些限制。这种 SBM 具有非凡的组合特性:透射系数接近 1 的高声学透明度、高于 1.25 的梯度折射率以及与生物组织相当的低于 100 kPa 的低弹性模量。此外,我们还利用 SBM 开发了一种受海豚启发的可调亚波长声波波束成形器,它可以通过机械拉伸动态调节声波波束模式。SBM 为声学软超材料提供了一种新的设计范例,在水下监测和生物医学超声领域具有潜在的应用前景。
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引用次数: 0
High-entropy alloy electrocatalysts screened using machine learning informed by quantum-inspired similarity analysis 利用机器学习和量子启发的相似性分析筛选高熵合金电催化剂
IF 17.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-11-06 DOI: 10.1016/j.matt.2024.10.001
Yuxin Chang , Ian Benlolo , Yang Bai , Christoff Reimer , Daojin Zhou , Hengrui Zhang , Hidetoshi Matsumura , Hitarth Choubisa , Xiao-Yan Li , Wei Chen , Pengfei Ou , Isaac Tamblyn , Edward H. Sargent
The discovery of new electrocatalysts can be aided by density functional theory (DFT) computation of overpotentials based on the energies of chemical intermediates on prospective adsorption sites. We hypothesize that when training a machine learning model on DFT data, one could improve accuracy by introducing a quantitative measure of similarity among adsorption sites. When we augment a graph neural network-based machine learning workflow using similarity as an input feature, we find that the required training dataset size is decreased from 1,600 to 800, leading to a 2× acceleration: the number of DFT calculations required to train to a given level of accuracy is cut in half. This approach identifies Fe0.125Co0.125Ni0.229Ir0.229Ru0.292 as a promising oxygen reduction reaction catalyst with an overpotential of 0.24 V, outperforming a Pt/C benchmark. We examine, by studying experimentally four additional HEAs, the predictive power of the computational approach.
密度泛函理论(DFT)根据化学中间体在预期吸附位点上的能量计算过电势,有助于发现新的电催化剂。我们假设,在根据 DFT 数据训练机器学习模型时,可以通过引入吸附位点之间相似性的定量指标来提高准确性。当我们使用相似性作为输入特征来增强基于图神经网络的机器学习工作流程时,我们发现所需的训练数据集从 1600 个减少到 800 个,从而提高了 2 倍的速度:训练到一定准确度所需的 DFT 计算量减少了一半。这种方法确定了 Fe0.125Co0.125Ni0.229Ir0.229Ru0.292 是一种很有前途的氧还原反应催化剂,其过电势为 0.24 V,优于 Pt/C 基准。我们通过实验研究了另外四种 HEA,检验了计算方法的预测能力。
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引用次数: 0
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