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Coupling effects of temperature and strain rate on the mechanical behavior and microstructure evolution of a powder-plasma-arc additive manufactured high-entropy alloy with multi-heterogeneous microstructures 温度和应变率对粉末等离子弧添加剂制造的多异质微结构高熵合金的力学行为和微结构演变的耦合效应
IF 8.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-06-27 DOI: 10.1016/j.actamat.2024.120147
Jianjun Wang , Hongxu Guo , Zhiming Jiao , Dan Zhao , Xizhang Chen , Shengguo Ma , Tuanwei Zhang , Xiaohuan Liu , Gang Sha , Junwei Qiao , Jamieson Brechtl , Peter K. Liaw , Zhihua Wang

A single-phase or simple-structured alloy does not always possess outstanding combinations of strength and ductility over a wide range of temperatures and strain rates for engineering applications. In the present work, a high-entropy alloy with multi-heterogeneous microstructures was in-situ fabricated via powder-plasma-arc additive manufacturing. The compressive behavior of the additive manufactured high-entropy alloy over a wide range of temperatures and strain rates was studied, using an improved split Hopkinson bar system and electronic universal testing machine. It shows exceptional combination of strength and ductility within the selected temperature and strain rate ranges. Microstructural evolution was characterized at various temperatures and strain rates, providing insight into the intricate relationship between microstructure and property. The multicomponent Laves phase is hard yet deformable, while the multicomponent FCC phase is soft and ductile. The deformation twins observed all over the selected temperature and strain rate ranges and dynamic recrystallization appearing at high temperatures in the FCC phase enhance the ductility of the FCC phase and rise the crack-arresting capability. The third-type strain aging occurs at different strain rates, which shifts to a higher temperature range as strain rate increases. Ta and impurity atom, Si, acting as “solute atoms” form atom atmosphere and silicide, pinning the moving dislocations in the FCC phase. Finally, a deformation mechanism map was proposed over a wide temperature and strain rate range. The study explored a potentially new avenue to design alloys with exceptional combinations of strength and ductility over a wide range of temperatures and strain rates.

在工程应用中,单相或结构简单的合金并不总能在较宽的温度和应变速率范围内拥有出色的强度和延展性组合。在本研究中,通过粉末等离子弧增材制造技术原位制造了一种具有多异质微结构的高熵合金。使用改进的分体式霍普金森棒系统和电子万能试验机,研究了添加剂制造的高熵合金在宽温度和应变率范围内的抗压行为。在选定的温度和应变率范围内,该合金显示出卓越的强度和延展性组合。在不同的温度和应变速率下,微观结构的演变也各具特色,使人们得以深入了解微观结构与性能之间错综复杂的关系。多组分 Laves 相坚硬但可变形,而多组分 FCC 相柔软且具有延展性。在所选温度和应变速率范围内观察到的变形孪晶以及 FCC 相在高温下出现的动态再结晶增强了 FCC 相的延展性,并提高了抗裂能力。第三类应变时效发生在不同的应变速率下,随着应变速率的增加,应变时效转移到更高的温度范围。Ta和杂质原子Si作为 "溶质原子",形成原子氛和硅化物,将移动位错固定在FCC相中。最后,研究人员提出了在较宽温度和应变率范围内的变形机理图。这项研究为设计在宽温度和应变率范围内具有优异强度和延展性组合的合金探索了一条潜在的新途径。
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引用次数: 0
Deciphering chemical ordering in High Entropy Materials: A machine learning-accelerated high-throughput cluster expansion approach 解密高熵材料中的化学排序:机器学习加速的高通量集群扩展方法
IF 9.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-06-27 DOI: 10.1016/j.actamat.2024.120137
Guillermo Vazquez, Daniel Sauceda, Raymundo Arróyave
The Cluster Expansion (CE) Method encounters significant computational challenges in multicomponent systems due to the computational expense of generating training data through density functional theory (DFT) calculations. This work aims to refine the cluster and structure selection processes to mitigate these challenges. We introduce a novel method that significantly reduces the computational load associated with the calculation of fitting parameters. This method employs a Graph Neural Network (GNN) model, leveraging the M3GNet network, which is trained using a select subset of DFT calculations at each ionic step. The trained surrogate model excels in predicting the volume and energy of the final structure for a relaxation run. By employing this model, we sample thousands of structures and fit a CE model to the energies of these GNN-relaxed structures. This approach, utilizing a large training dataset, effectively reduces the risk of overfitting, yielding a CE model with a root-mean-square error (RMSE) below 10 meV/atom. We validate our method’s effectiveness in two test cases: the (Ti, Cr, Zr, Mo, Hf, Ta)B diboride system and the Refractory High-Entropy Alloy (HEA) AlTiZrNbHfTa system. Our findings demonstrate the significant advantages of integrating a GNN model, specifically the M3GNet network, with CE methods for the efficient predictive analysis of chemical ordering in High Entropy Materials. The accelerating capabilities of the hybrid ML-CE approach to investigate the evolution of Short Range Ordering (SRO) in a large number of stoichiometric systems. Finally, we show how it is possible to correlate the strength of chemical ordering to easily accessible alloy parameters.
由于通过密度泛函理论(DFT)计算生成训练数据的计算费用高昂,簇扩展(CE)方法在多组分系统中遇到了巨大的计算挑战。这项工作旨在改进聚类和结构选择过程,以减轻这些挑战。我们引入了一种新方法,可显著降低与拟合参数计算相关的计算负荷。该方法采用图形神经网络 (GNN) 模型,利用 M3GNet 网络,在每个离子步骤中使用选定的 DFT 计算子集对其进行训练。经过训练的代用模型在预测弛豫运行的最终结构的体积和能量方面表现出色。通过使用该模型,我们对数千种结构进行了采样,并根据这些 GNN 松弛结构的能量拟合了 CE 模型。这种方法利用了大量的训练数据集,有效地降低了过拟合的风险,使 CE 模型的均方根误差 (RMSE) 低于 10 meV/原子。我们在两个测试案例中验证了我们方法的有效性:(Ti, Cr, Zr, Mo, Hf, Ta)B 二硼化物体系和难熔高熵合金 (HEA) AlTiZrNbHfTa 体系。我们的研究结果表明,将 GNN 模型(特别是 M3GNet 网络)与 CE 方法相结合,对高熵材料中的化学排序进行高效预测分析具有显著优势。ML-CE 混合方法可加速研究大量化学计量体系中短程有序(SRO)的演化。最后,我们展示了如何将化学有序的强度与容易获得的合金参数相关联。
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引用次数: 0
Influence of chemical composition on the room temperature plasticity of C15 Ca-Al-Mg Laves phases 化学成分对 C15 Ca-Al-Mg Laves 相室温塑性的影响
IF 8.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-06-27 DOI: 10.1016/j.actamat.2024.120124
Martina Freund , Zhuocheng Xie , Pei-Ling Sun , Lukas Berners , Joshua Spille , Hexin Wang , Carsten Thomas , Michael Feuerbacher , Marta Lipinska-Chwalek , Joachim Mayer , Sandra Korte-Kerzel

The influence of chemical composition changes on the room temperature mechanical properties in the binary Ca33Al67 C15 CaAl2 Laves phase were investigated in two ternary alloys with off-stoichiometric compositions with 5.7 at.% Mg substitution (Ca33Al61Mg6) and 10.8 at.% Mg and 3.0 at.% Ca substitution (Ca36Al53Mg11) and compared to the stoichiometric (Ca33Al67) composition. Cubic Ca-Al-Mg Laves phases with multiple crystallographic orientations were characterised and deformed using nanoindentation. The hardness and indentation modulus were measured to be 4.1 ± 0.3 GPa and 71.3 ± 1.5 GPa for Ca36Al53Mg11, 4.6 ± 0.2 GPa and 80.4 ± 3.8 GPa for Ca33Al61Mg6 and 4.9 ± 0.3 GPa and 85.5 ± 4.0 GPa for Ca33Al67, taken from our previous study, respectively. The resulting surface traces as well as slip and crack planes, were distinguished on the indentation surfaces, revealing the activation of several different {11n} slip systems, as further confirmed by conventional transmission electron microscopic observations. Additionally, the deformation mechanisms and corresponding energy barriers of activated slip systems were evaluated by atomistic simulations.

研究了化学成分变化对二元 Ca33Al67 C15 CaAl2 Laves 相室温机械性能的影响,并将其与化学成分(Ca33Al67)进行了比较。采用纳米压痕法对具有多种结晶取向的立方钙-铝-镁拉维斯相进行了表征和变形。根据我们之前的研究,测得 Ca36Al53Mg11 的硬度和压痕模量分别为 4.1 ± 0.3 GPa 和 71.3 ± 1.5 GPa,Ca33Al61Mg6 的硬度和压痕模量分别为 4.6 ± 0.2 GPa 和 80.4 ± 3.8 GPa,Ca33Al67 的硬度和压痕模量分别为 4.9 ± 0.3 GPa 和 85.5 ± 4.0 GPa。由此产生的表面痕迹以及滑移和裂纹平面在压痕表面得以区分,揭示了几种不同的{11n}滑移系统的激活,传统的透射电子显微镜观察进一步证实了这一点。此外,原子模拟还评估了活化滑移系统的变形机制和相应的能量障碍。
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引用次数: 0
The micromechanics of fracture of zirconium hydrides 锆氢化物断裂的微观力学
IF 8.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-06-27 DOI: 10.1016/j.actamat.2024.120143
Saiedeh Marashi, Hamidreza Abdolvand

Zirconium alloys are susceptible to hydrogen embrittlement and hydride precipitation. The precipitation of hydrides is accompanied by a transformation strain, but the contribution of this strain to the fracture of hydrides is not well-understood. In this study, deformation mechanisms and the micromechanics of fracture of hydrides are investigated by conducting in-situ and interrupted ex-situ tensile experiments on hydrided zirconium specimens. Electron backscatter diffraction (EBSD) is used to measure the macro-EBSD maps that contain the grains located in the gauge section of the specimens’ surfaces. Further, high spatial resolution EBSD is used to determine orientation variations induced by the precipitation of hydrides and by the external mechanical load. The measured grain orientations are mapped into a crystal plasticity finite element (CPFE) model to examine the performance of eight different crack initiation criteria. It is shown that a multiscale approach is essential for studying the fracture of hydrides as the details of hydride morphology, orientation, local grain neighborhood, and hydride-hydride interactions are important in such analysis. It is shown that neglecting the effects of hydride-induced transformation strain leads to inaccuracies in predicting both the location and direction of microcracks within hydrides. Among the examined methods, the combination of resolved shear stress and resolved shear strain on slip systems, i.e., the highest shear energy density, consistently predicts the correct locations of hydride microcracks as well as their propagation direction. Further, it is shown that the significant deformation that takes place within hydrides is the main driving force for the fracture of hydrides.

锆合金容易发生氢脆和氢化物析出。氢化物的析出伴随着转化应变,但这种应变对氢化物断裂的影响尚不十分清楚。本研究通过对氢化物锆试样进行原位和间断原位拉伸实验,研究了氢化物的变形机制和断裂的微观力学。电子反向散射衍射 (EBSD) 用于测量宏观 EBSD 图,其中包含位于试样表面规整截面上的晶粒。此外,高空间分辨率 EBSD 还用于确定由氢化物沉淀和外部机械负载引起的取向变化。测量到的晶粒取向被映射到晶体塑性有限元(CPFE)模型中,以检验八种不同裂纹起始标准的性能。研究表明,多尺度方法对于研究氢化物的断裂至关重要,因为氢化物形态、取向、局部晶粒邻域以及氢化物与氢化物之间的相互作用等细节在此类分析中非常重要。研究表明,忽略氢化物诱导的转化应变的影响会导致对氢化物内部微裂纹位置和方向的预测不准确。在所研究的方法中,滑移系统上的解析剪应力和解析剪应变组合(即最高剪切能量密度)可持续预测氢化物微裂缝的正确位置及其传播方向。此外,研究还表明,氢化物内部发生的巨大变形是氢化物断裂的主要驱动力。
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引用次数: 0
High wide-temperature-range thermoelectric performance in GeTe through hetero-nanostructuring 通过异质纳米结构实现 GeTe 的高宽温范围热电性能
IF 8.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-06-26 DOI: 10.1016/j.actamat.2024.120132
Qingtang Zhang , Pan Ying , Aftab Farrukh , Yaru Gong , Jizi Liu , Xinqi Huang , Di Li , Meiyu Wang , Guang Chen , Guodong Tang

GeTe is emerging as promising medium-temperature thermoelectric material due to its highly competitive performance and good mechanical properties. Strong Rashba spin splitting was harnessed to markedly improve the Seebeck coefficient and power factor of Bi and Sn codoped GeTe at low-medium temperature. Moreover, it is found that Bi-Sn-Cu doping reduces the phase-transition temperature to extend better electrical transport behavior of cubic phase to low temperature. As a result, the electrical transport properties in low-medium temperature were overall enhanced. In the meanwhile, endotaxial hetero-nanostructures efficiently scatter phonons and play a dominant role on affecting phonon propagation. The lattice thermal conductivity was reduced to 0.2 W m−1 K−1 at 673 K. Drive by strengthening Rashba effect and endotaxial hetero-nanostructures, a record-high average ZT (300–823 K) of 1.6 and a high ZT of 2.1 were obtained in lead-free GeTe-based compounds. The vast increase of ZT promotes GeTe as a promising candidate for a wide range of applications in waste heat recovery and power generation.

GeTe 因其极具竞争力的性能和良好的机械特性,正在成为一种前景广阔的中温热电材料。利用强 Rashba 自旋分裂,可以显著提高 Bi 和 Sn 共掺 GeTe 在中低温下的塞贝克系数和功率因数。此外,研究还发现掺杂铋-锡-铜可降低相变温度,从而将立方相更好的电传输特性延伸至低温。因此,中低温下的电传输特性得到了全面提升。同时,内轴异质纳米结构能有效散射声子,并在影响声子传播方面发挥主导作用。通过加强拉什巴效应和内轴异质纳米结构,无铅 GeTe 基化合物的平均热导率(300-823 K)达到了创纪录的 1.6 和 2.1。GeTe 在余热回收和发电领域的广泛应用前景广阔。
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引用次数: 0
Magnetization reversal process in flat and patterned exchange-biased CoO/[Co/Pd] thin films 平面和图案化交换偏置 CoO/[Co/Pd]薄膜中的磁化反转过程
IF 8.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-06-26 DOI: 10.1016/j.actamat.2024.120129
Marcin Perzanowski , Juliusz Chojenka , Aleksandra Szkudlarek , Michal Krupinski

Nanostructured magnetic materials have gained great interest due to their possible technological applications in electronic and spintronic devices or in medicine as drug carriers. The key issue which decides on their potential industrial utilization is an exhibited type of a magnetization reversal process. Two main approaches used to describe the switching mechanism are the domain wall motion and coherent magnetization rotation, known as the Kondorsky and Stoner–Wohlfarth models, respectively. The reversal modes can be distinguished by angular measurements of hysteresis loops; however, in many experimental reports the dependencies do not precisely follow either of the models. This makes the question of how the magnetization reversal takes place and how to control or modify it one of the unclear and worth investigation issues in the research on magnetic materials. In this paper, we present our studies on the magnetization reversal in the exchange-biased CoO/[Co/Pd] thin films deposited on a flat substrate and on an array of anodized titanium oxide nanostructures. We studied the reversal mechanism using hysteresis loops and First-Order Reversal Curves. Interestingly, instead of the typical for the flat Co/Pd multilayers Kondorsky process, the system shows a crossover between the domain wall motion and the coherent rotation. A similar situation takes place for the pattern sample. Here, we connect this unusual behavior with the interface exchange interaction responsible for the exchange bias effect.

纳米结构磁性材料因其可能在电子和自旋电子设备中的技术应用或在医药中作为药物载体而备受关注。决定其工业应用潜力的关键问题是磁化反转过程的表现类型。用于描述切换机制的两种主要方法是畴壁运动和相干磁化旋转,分别称为 Kondorsky 模型和 Stoner-Wohlfarth 模型。通过对磁滞回线的角度测量可以区分这两种反转模式;然而,在许多实验报告中,这两种模式的相关性并不完全一致。这就使得磁化反转如何发生以及如何控制或改变磁化反转成为磁性材料研究中一个不明确且值得研究的问题。本文介绍了我们对沉积在平面基底和阳极氧化钛纳米结构阵列上的交换基 CoO/[Co/Pd]薄膜磁化反转的研究。我们利用滞后环和一阶反转曲线研究了反转机制。有趣的是,与平面 Co/Pd 多层 Kondorsky 过程的典型情况不同,该系统显示了畴壁运动和相干旋转之间的交叉。图案样品也出现了类似的情况。在这里,我们将这种不寻常的行为与产生交换偏置效应的界面交换相互作用联系起来。
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引用次数: 0
Atomistically informed mesoscale modelling of deformation behavior of bulk metallic glasses 大块金属玻璃变形行为的原子信息中尺度建模
IF 8.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-06-26 DOI: 10.1016/j.actamat.2024.120136
Yuchi Wang , Yuchu Wang , Chaoyi Liu , Jinwoo Hwang , Yue Fan , Yunzhi Wang

Both atomistic and mesoscale simulation techniques have been extensively employed to gain fundamental understanding of the structures, deformation mechanisms, and structure-property relationships in bulk metallic glasses (BMGs), each with its unique strengths and limitations. Nevertheless, there is a limited degree of synergistic integration between the two approaches. In this study, we extract key properties of shear transformation zones (STZs) directly from the atomistic simulations, including their size, number of shear modes, eigenstrain, and most importantly, the activation energy barrier spectrum as a function of cooling history and strain rate. We then incorporate these STZ properties into a heterogeneously randomized STZ dynamic model implemented in a kinetic Monte Carlo algorithm to study parametrically the deformation microstructure, shear band formation and stress-strain behavior of BMGs. Two important characteristics of STZ activation that dictate the strength and ductility of a glass are identified. One is the average of the activation energy barrier spectrum (approximated by a Gaussian distribution), determined by the glass composition and processing history such as the cooling rate. The other is the amount of shift of the Gaussian distribution towards smaller activation energy barrier values during deformation, which is determined by the initial structural states and strain rate during deformation, and exhibits a saturation value. These findings have allowed us to gain important fundamental insights into the correlation between the degree of shear-induced softening and the general deformation behavior of BMGs, leading to a better understanding of the correlation between the processing history/loading condition and the mechanical behavior.

为了从根本上了解块状金属玻璃(BMGs)的结构、变形机制和结构-性能关系,原子学和介观尺度模拟技术被广泛应用,每种技术都有其独特的优势和局限性。然而,这两种方法之间的协同整合程度有限。在本研究中,我们直接从原子模拟中提取剪切转变区(STZ)的关键属性,包括其尺寸、剪切模式数量、特征应变,以及最重要的作为冷却历史和应变速率函数的活化能势垒谱。然后,我们将这些 STZ 属性纳入一个异构随机 STZ 动态模型,该模型采用动力学蒙特卡洛算法来研究 BMG 的参数化变形微观结构、剪切带形成和应力应变行为。确定了 STZ 激活的两个重要特征,它们决定了玻璃的强度和延展性。一个是活化能势垒谱的平均值(近似于高斯分布),它由玻璃成分和加工历史(如冷却速率)决定。另一种是高斯分布在变形过程中向较小活化能势垒值的移动量,这由初始结构状态和变形过程中的应变率决定,并呈现出饱和值。这些发现使我们对剪切诱导软化程度与 BMG 一般变形行为之间的相关性有了重要的基本认识,从而更好地理解了加工历史/加载条件与机械行为之间的相关性。
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引用次数: 0
Predicting the formation enthalpy and phase stability of (Ti,Al,TM)N (TM = III-VIB group transition metals) by high-throughput ab initio calculations and machine learning 通过高通量 ab initio 计算和机器学习预测 (Ti,Al,TM)N(TM = III-VIB 族过渡金属)的形成焓和相稳定性
IF 8.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-06-25 DOI: 10.1016/j.actamat.2024.120139
Jie Zhang , Yi Kong , Li Chen , Nikola Koutná , Paul H. Mayrhofer

The development of transition-metal-alloyed (Ti,Al)N thin films has become a common strategy to achieve optimized mechanical and thermal properties. Selection of a suitable alloying element, however, should consider the effect on Al solubility, directly influencing phase stability during the deposition. Here we use high-throughput ab initio formation enthalpy calculations to assess stability of the cubic (c) vs. hexagonal wurtzite-type (w-) phase of TM-alloyed (Ti,Al,TM)N. This compositionally-limited ab initio dataset serves to fit several machine-learning (ML) models enabling phase stability predictions over the entire compositional range. Of all the models, the linear regression using Magpie feature descriptor pre-processed by a genetic algorithm has the highest accuracy. For Ta, Nb, Mo, and W addition below ∼10 at.%, our ML model predicts enhanced stability of c-(Ti,Al,TM)N due to increased solubility of Al. Other alloying elements, especially Sc and Y from IIIB group and Hf and Zr from IVB group, decrease the cubic metastable solubility limit. In agreement with available experimental data, all transition metals except for Cr and V increase the volume of c-(Ti,Al,TM)N and w-(Ti,Al,TM)N.

开发过渡金属合金化 (Ti,Al)N 薄膜已成为实现优化机械和热性能的常用策略。然而,选择合适的合金元素应考虑对铝溶解度的影响,因为铝溶解度直接影响沉积过程中的相稳定性。在此,我们使用高通量形成焓计算来评估 TM 合金 (Ti,Al,TM)N的立方 (c) 相与六方钨锆石型 (w-) 相的稳定性。这个成分有限的数据集可用于拟合多个机器学习(ML)模型,从而预测整个成分范围内的相稳定性。在所有模型中,使用经遗传算法预处理的特征描述器进行线性回归的准确度最高。对于 Ta、Nb、Mo 和 W 的添加量低于 ∼10 at.%,我们的 ML 模型预测由于 Al 的溶解度增加,c-(Ti,Al,TM)N 的稳定性会增强。其他合金元素,尤其是来自 IIIB 族的 Sc 和 Y 以及来自 IVB 族的 Hf 和 Zr 会降低立方体的可迁移溶解度极限。与现有的实验数据一致,除 Cr 和 V 外,所有过渡金属都会增加 c-(Ti,Al,TM)N 和 w-(Ti,Al,TM)N 的体积。
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引用次数: 0
Machine learning based insights of seeded congruent crystal growth of LiNbO3 in glass 基于机器学习的玻璃中 LiNbO3 种子同晶生长见解
IF 8.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-06-25 DOI: 10.1016/j.actamat.2024.120115
R. Thapa , M.E. McKenzie , E. Musterman , J. Kaman , V. Dierolf , H. Jain

The seeded crystal growth of LiNbO3 in glass under the isothermal conditions has been studied using a machine-learned clustering algorithm trained on a combination of static and dynamic structural features. Our findings contradict the sharp crystal-glass interface assumption of classical nucleation theory (CNT). The growth of the seed occurs via the attachment of a group of atoms rather than single atoms. The predictions from the machine-learned simulations helped us compare the growth rate of seeds across various initial seed-sizes and temperature. Simulations with multiple seeds show that the growth rate of a seed is enhanced by the presence of another seed in its vicinity.

我们使用根据静态和动态结构特征组合训练的机器学习聚类算法,研究了等温条件下玻璃中铌酸锂的种子晶体生长。我们的研究结果与经典成核理论(CNT)中晶体-玻璃界面尖锐的假设相矛盾。种子的生长是通过原子团而不是单个原子的附着发生的。机器学习模拟的预测结果帮助我们比较了不同初始种子大小和温度下种子的生长率。多颗种子的模拟结果表明,一颗种子的生长速度会因为其附近存在另一颗种子而加快。
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引用次数: 0
Atomic-scale compositional complexity ductilizes eutectic phase towards creep-resistant Al-Ce alloys with improved fracture toughness 原子尺度的成分复杂性使共晶相具有延展性,从而形成具有更好断裂韧性的抗蠕变铝铈合金
IF 8.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-06-24 DOI: 10.1016/j.actamat.2024.120133
Meng Yi , Peng Zhang , Sihao Deng , Hang Xue , Chong Yang , Fuzhu Liu , Bin Chen , Shenghua Wu , Huaile Lu , Zhijian Tan , Jinyu Zhang , Yong Peng , Gang Liu , Lunhua He , Jun Sun

Hierarchical microstructures spanning from micro-sized eutectic structure to nano-sized precipitates are promisingly engineered in lightweight Al alloys to improve the high-temperature creep resistance that is increasingly required for rapid industrial development. However, the intrinsically-brittle eutectic phase is ready to fracture upon applied loading, which, dramatically reducing room-temperature ductility and fracture toughness, greatly hampers practical applications of the creep-resistant Al alloys. Here, through the combination of Sc microalloying with sub-rapid solidification, we observe the ductilization of Al11Ce3 eutectic phase in cast heat-resistant Al-Ce-Sc alloys due to the formation of atomic-scale compositional complexity. High-concentration Sc atoms are frozen within the Al11Ce3 intermetallic phase by the sub-rapid solidification, which then assemble into unusual atomic-scale compositional dipoles with the Sc atoms enriched at one pole and the Al atoms at the opposite during subsequent heat treatment. The dispersed Sc-Al compositional dipoles induce local lattice distortions that stimulate dislocation activities, as temporally and spatially visualized by in-situ neutron diffraction tensile test and microstructural characterizations. The unexpected plastic deformation triggered in Al11Ce3 improves the deformation compatibility between the eutectic phases, enabling the sub-rapidly-solidified Al-Ce-Sc alloy to reach a room-temperature tensile elongation 3 times and fracture toughness over 8 times of its counterpart derived from traditional solidification. In addition, the sub-rapidly-solidified Al-Ce-Sc alloy exhibits an excellent creep resistance at 300 °C, achieving a tensile creep stress threshold of ∼ 70 MPa. These findings provide new perspectives on the design of ductile intermetallic phases and the development of creep-resistant Al alloys with application-level ductility.

在轻质铝合金中设计从微小共晶结构到纳米级析出物的分层微结构很有希望提高高温抗蠕变性,而这正是快速工业发展所日益需要的。然而,内在脆性共晶相在施加载荷时随时可能断裂,这大大降低了室温延展性和断裂韧性,极大地阻碍了抗蠕变铝合金的实际应用。在这里,通过将 Sc 微合金化与亚快速凝固相结合,我们观察到在铸造耐热 Al-Ce-Sc 合金中,由于原子尺度成分复杂性的形成,AlCe 共晶相发生了延展。高浓度 Sc 原子在亚快速凝固过程中凝固在 AlCe 金属间相中,然后在随后的热处理过程中聚集成不寻常的原子尺度成分偶极,Sc 原子富集在一极,Al 原子富集在另一极。分散的 Sc-Al 成分偶极子会引起局部晶格畸变,从而刺激位错活动,中子衍射拉伸试验和微观结构特征可在时间和空间上对其进行观察。在 AlCe 中引发的意外塑性变形改善了共晶相之间的变形兼容性,使亚快速凝固的 Al-Ce-Sc 合金的室温拉伸伸长率达到传统凝固法的 3 倍,断裂韧性超过 8 倍。此外,亚快速凝固的 Al-Ce-Sc 合金在 300 ℃ 下表现出优异的抗蠕变性,拉伸蠕变应力阈值达到 70 兆帕。这些发现为延展性金属间相的设计和具有应用级延展性的抗蠕变铝合金的开发提供了新的视角。
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