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Strain-dependent magnetic domain freezing and unfreezing governed by D03 phase evolution in Fe-Ga alloys Fe-Ga合金中D03相演化控制的应变磁畴冻结与解冻
IF 5.6 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-03-15 Epub Date: 2025-12-26 DOI: 10.1016/j.scriptamat.2025.117153
M. Sun , W.B. Jiang , J.F. Peng , Q.F. Fang , X.B. Wu
The detrimental effect of the ordered D03 structure on the magnetostriction of Fe-Ga alloys has been extensively recognized over the past two decades, yet its role in governing magnetic domain behavior and damping characteristics remains poorly understood. In this study, a series of Fe-Ga alloys with systematically varied D03 phase fractions were designed to elucidate the influence of nano-scaled D03 precipitates on defect relaxation, damping performance, and magnetic domain morphology. With increasing Ga content, the D03 phase fraction increases progressively, accompanied by a morphological evolution from spherical to near-rectangular shapes due to spatial confinement. Unexpectedly, the widespread precipitation of D03 does not eliminate magnetic damping, and instead it shifts the onset of magnetic damping to higher strain amplitudes. Moreover, the presence of enlarged D03 precipitates raises the critical amplitude required to initiate magnetic domain motion, below which the domain activity becomes effectively frozen. This work closes a key knowledge gap in the low-amplitude magnetic mechanical hysteresis damping regime and demonstrates that tailoring the size of the second-phase precipitates offers a viable strategy to modulate the amplitude range for achieving high damping.
在过去的二十年中,人们已经广泛认识到有序D03结构对Fe-Ga合金磁致伸缩的不利影响,但其在控制磁畴行为和阻尼特性中的作用仍然知之甚少。在本研究中,设计了一系列具有不同D03相分数的Fe-Ga合金,以阐明纳米级D03沉淀对缺陷弛豫、阻尼性能和磁畴形貌的影响。随着Ga含量的增加,D03相分数逐渐增加,由于空间限制,D03相由球形向近矩形演化。出乎意料的是,D03的广泛沉淀并没有消除磁阻尼,相反,它将磁阻尼的开始转移到更高的应变幅值。此外,增大的D03相的存在提高了启动磁畴运动所需的临界振幅,低于该振幅,磁畴活动就会有效冻结。这项工作填补了低振幅磁滞阻尼机制的关键知识空白,并证明了调整第二相沉淀的大小提供了一种可行的策略来调节振幅范围以实现高阻尼。
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引用次数: 0
Searching for new multi-component alloys with desirable stacking fault energies: The compositional dependency of binary interaction terms 寻找具有理想层错能的新型多组分合金:二元相互作用项的组分依赖性
IF 5.6 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-03-15 Epub Date: 2025-12-08 DOI: 10.1016/j.scriptamat.2025.117113
Chunguang Tang , Muhammad A. Ghouri , Jiaojiao Yi , Matthew R. Barnett
The Calculation of Phase Diagrams (CALPHAD) method has proven useful in assessing the phase stability of multi-component alloys. This success does not extend to the prediction of stacking fault energy (SFE) in fcc systems. We propose this can be viewed as a consequence of the (largely unknown) compositional dependency of the binary interaction terms. To make the case, we compare CALPHAD-predicted SFEs with atomistic computations based on the axial Ising model. To facilitate the search for new multi-component alloys while acknowledging this shortfall in knowledge, we propose an approach whereby binary interaction terms are refined during the search. As an illustrative case study, we apply this method to a directed search for Cr-Fe-Ni alloys with reduced Ni contents while preserving the value of the SFE.
相图计算法(CALPHAD)已被证明是评价多组分合金相稳定性的有效方法。这一成功并不适用于fcc系统的层错能(SFE)预测。我们认为这可以看作是二元相互作用项(很大程度上未知)组合依赖的结果。为了证明这一点,我们比较了calphad预测的sfe与基于轴向Ising模型的原子计算。为了方便寻找新的多组分合金,同时承认这种知识的不足,我们提出了一种在搜索过程中改进二元相互作用项的方法。作为一个说明性的案例研究,我们将这种方法应用于在保留SFE值的同时降低Ni含量的Cr-Fe-Ni合金的定向搜索。
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引用次数: 0
Two-step deep learning for decoding elastic constants of hexagonal-symmetry materials from resonant-spectrum image 共振光谱图像中六边形对称材料弹性常数的两步深度学习
IF 5.6 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-03-15 Epub Date: 2025-12-03 DOI: 10.1016/j.scriptamat.2025.117115
Kazuya Kohira , Shota Nakamura , Hiroki Fukuda , Kazuhiro Kyotani , Hirotsugu Ogi
We developed a deep learning (DL) framework based on convolutional neural networks (CNNs) to predict elastic constants of hexagonal materials by leveraging high image-recognition capability of CNNs. Resonant frequency data were converted into three-channel RGB images, referred to as ”elasticity images” for CNN training. Without mode identification, the trained models accurately predicted all five independent elastic constants. We reveal that the average Young modulus is a critical for classification of hexagonal materials based on their elasticity images. Furthermore, we extended the Blackman diagram, originally developed for cubic crystals, to hexagonal systems, enabling a substantial reduction of five-dimensional elastic-constant space. We then established a two-step DL scheme: first, classification using the average Young modulus, followed by regression of the five elastic constants in the classified average-Young-modulus class. The prediction error was approximately 5 % for the principal elastic constants and 1.5 % for the average Young modulus.
我们开发了一个基于卷积神经网络(cnn)的深度学习(DL)框架,利用cnn的高图像识别能力来预测六边形材料的弹性常数。将共振频率数据转换为三通道RGB图像,称为“弹性图像”,用于CNN训练。在没有模态识别的情况下,训练的模型可以准确地预测所有五个独立的弹性常数。我们揭示了平均杨氏模量是一个关键的分类六边形材料基于他们的弹性图像。此外,我们将最初为立方晶体开发的Blackman图扩展到六边形系统,从而大大减少了五维弹性常数空间。然后,我们建立了一个两步DL方案:首先,使用平均杨氏模量进行分类,然后在分类的平均杨氏模量类别中回归五个弹性常数。主弹性常数预测误差约为5%,平均杨氏模量预测误差约为1.5%。
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引用次数: 0
Inclined TEDs with pairs of partial dislocations located away from the basal plane in 4H-SiC epilayers 在4H-SiC薄膜中,具有部分位错对的倾斜TEDs远离基面
IF 5.6 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-03-15 Epub Date: 2025-12-05 DOI: 10.1016/j.scriptamat.2025.117123
Chiharu Ota, Johji Nishio, Ryosuke Iijima
We discovered previously unreported defects in the 4H-SiC epilayers that do not lie along the [0001] direction or on the (112¯0) plane. Each defect consists of a pair of partial dislocations separated by a stacking fault rather than forming a perfect dislocation. Because they have inclination angles of 52° and 65° from the [0001] direction toward the [112¯0] direction, we refer to them as “pseudo- threading edge dislocations (TEDs).” The spacing between partial dislocations in the pseudo-TEDs also increases, reaching up to 12 nm at an inclination angle of 90° Based on the observed crystallographic orientation, the pseudo-TEDs appear to stabilize along the (112¯(2n)) planes. Furthermore, comparison of the elastic strain energy between TEDs in the form of perfect dislocations and the total energy of basal plane dislocations suggests that as the inclination angle increases, the pseudo-TED structure becomes more favorable compared with a perfect dislocation.
我们在4H-SiC脱毛层中发现了以前未报道的缺陷,这些缺陷不在[0001]方向或(112¯0)平面上。每个缺陷由一对由层错分隔的部分位错组成,而不是形成一个完美的位错。由于它们从[0001]方向向[112¯0]方向的倾角分别为52°和65°,因此我们将它们称为“伪螺纹边缘位错(ted)”。伪ted中部分位错间距也增加,在90°倾角下达到12 nm。根据观察到的晶体取向,伪ted沿(112¯(2n))面趋于稳定。此外,将完全位错形式的ted结构与基面位错形式的总能进行比较,发现随着倾角的增大,伪ted结构比完全位错形式更有利。
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引用次数: 0
Short-range order governs plastic flow localization in irradiated multi-principal element alloys 辐照多主元素合金的塑性流动局部化受短程数量级控制
IF 5.6 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-03-15 Epub Date: 2025-12-15 DOI: 10.1016/j.scriptamat.2025.117141
Qiyue Zhang , Yang Chen , Bin Liu , Ruiqian Zhang , Qihong Fang , Peter K. Liaw , Jia Li
Refractory multi-principal element alloys (RMPEAs) exhibit outstanding irradiation resistance performance owing to severe lattice distortion and short-range order (SRO). Nevertheless, the influence of SRO on the plastic flow behavior of irradiated RMPEAs remains unclear, hindering development of high radiation-resistant RMPEA. Here, the origin and evolution of defect-free channels in HfNbTa RMPEA is revealed via hybrid MC/MD simulation and discrete dislocation dynamics coupled with random field theory. In HfNbTa RMPEA possessing SRO, a relatively large quantity of narrow defect-free channels alleviates plastic flow localization. The probabilistic distribution of dislocation cross-slip events indicates that SRO expands the high-probability regions for cross-slip, increasing the longitudinal distance traversed by a single dislocation through double cross-slip. This feature enables dislocation loops to escape interactions with dislocations, thereby reducing defect-free channel width and improving irradiation resistance. These findings provide insights into the role of SRO in mitigating irradiation damage and guide the design of irradiation-stable RMPEAs.
难熔多主元素合金(RMPEAs)具有严重的晶格畸变和短程有序性(SRO),具有优异的耐辐照性能。然而,SRO对辐照RMPEA塑性流动行为的影响尚不清楚,阻碍了高抗辐射RMPEA的发展。本文通过混合MC/MD模拟和离散位错动力学结合随机场理论,揭示了HfNbTa RMPEA中无缺陷通道的起源和演变。在具有SRO的HfNbTa RMPEA中,相对大量的窄缺陷通道缓解了塑性流动的局部化。位错交叉滑动事件的概率分布表明,SRO扩展了交叉滑动的高概率区域,增加了单个位错通过双交叉滑动所穿越的纵向距离。这一特征使位错环能够逃脱与位错的相互作用,从而减少无缺陷通道宽度并提高辐照抗性。这些发现为SRO在减轻辐照损伤中的作用提供了见解,并指导了辐照稳定rmpea的设计。
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引用次数: 0
Enhancing hydrogen embrittlement resistance in high-strength martensitic steels via tailoring variant selection at prior austenite grain boundaries 通过在先前奥氏体晶界处裁剪变体选择提高高强度马氏体钢的抗氢脆性
IF 5.6 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-03-15 Epub Date: 2025-12-30 DOI: 10.1016/j.scriptamat.2025.117157
Xiaodong Lan, Kazuho Okada, Rintaro Ueji, Akinobu Shibata
This study presents a thermomechanical processing strategy to improve the resistance to hydrogen embrittlement (HE) in martensitic steels through controlling variant selection at prior austenite grain boundaries (PAGBs), while retaining ultrahigh tensile strength (>1.5 GPa). Under identical hydrogen-charging conditions, the 10% hot-compressed specimen exhibited the highest HE resistance, correlating with its largest fraction of low-angle PAGB segments. Misorientation-distribution analysis and tensile tests revealed a non-monotonic dependence of compressive strain: an optimal compressive level maximized the beneficial stress-assisted variant selection at PAGBs, whereas excessive strains promoted self-accommodation of transformation strain in the work-hardened austenite, diminishing the beneficial effect. The improved HE resistance stems from reduced hydrogen trapping, enhanced strain-dissipating slip transfer, and increased cohesive energy at PAGBs. Tailoring variant selection at PAGBs through this simple process thus provides an industry-feasible route to hydrogen-resistant high-strength martensitic steels.
本研究提出了一种热处理策略,通过控制奥氏体晶界(pagb)的变异选择来提高马氏体钢的抗氢脆(HE)性能,同时保持超高的抗拉强度(>1.5 GPa)。在相同的充氢条件下,10%热压试样的HE电阻最高,其低角PAGB段的比例最大。错取向分布分析和拉伸试验揭示了压缩应变的非单调依赖性:最佳压缩水平最大化了pagb中有益的应力辅助变异选择,而过多的应变促进了加工硬化奥氏体中转变应变的自适应,从而减弱了有益的影响。提高的HE阻力源于减少氢捕获,增强应变耗散滑移传递,增加pagb的内聚能。因此,通过这个简单的过程,在pagb上裁剪变体选择提供了一种工业上可行的抗氢高强度马氏体钢的途径。
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引用次数: 0
Water quenching enhances ductility of titanium alloys with ultra-high interstitial solutes 水淬可提高具有超高间隙溶质的钛合金的延展性
IF 5.6 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-03-15 Epub Date: 2025-12-23 DOI: 10.1016/j.scriptamat.2025.117144
Yahui Yang , Biao Chen , Katsuyoshi Kondoh , Jianghua Shen
Interstitial elements such as nitrogen and oxygen can significantly harden titanium alloys, but they severely compromise plasticity, primarily due to their suppression of deformation twinning and propensity for grain boundary segregation. In this work, our findings reveal that water quenching induces {101¯1}<101¯2> compressive twins and FCC phase formation in ultra-high interstitial Ti alloys, thereby stabilizing the microstructure and mitigating stress localization. Remarkably, water quenching increases the ductility of titanium alloys containing ultra-high interstitial solutes (with nitrogen content exceeding 1.1 wt.%) from 3 % to 11 % while maintaining tensile strength above 1000 MPa, establishing an unprecedented strength-ductility synergy in ultra-high interstitial systems. These insights offer a viable pathway for repurposing Ti scrap with elevated interstitials and designing high-performance alloys through rapid cooling techniques compatible with additive manufacturing.
氮和氧等间隙元素可以显著硬化钛合金,但它们严重损害塑性,这主要是由于它们抑制变形孪晶和倾向于晶界偏析。在这项工作中,我们的研究结果表明,水淬火在超高间隙Ti合金中诱导{101¯1}<;101¯2>;压缩孪晶和FCC相形成,从而稳定了组织并减轻了应力局部化。值得注意的是,水淬火使含超高间隙溶质(含氮量超过1.1 wt.%)的钛合金的塑性从3%提高到11%,同时拉伸强度保持在1000 MPa以上,在超高间隙体系中建立了前所未有的强度-塑性协同效应。这些见解为利用高间隙的Ti废料重新利用以及通过与增材制造兼容的快速冷却技术设计高性能合金提供了一条可行的途径。
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引用次数: 0
Cyclic stable superelasticity and elastocaloric effect via the R→B19′ transformation in NiTi NiTi中R→B19′相变的循环稳定超弹性和弹热效应
IF 5.6 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-03-15 Epub Date: 2025-12-26 DOI: 10.1016/j.scriptamat.2025.117149
Jingxian Zhang, Qianglong Liang, Xiangdong Ding
NiTi-based shape memory alloys are promising candidates for solid-state refrigeration owing to the latent heat associated with stress-induced martensitic transformations. However, the conventional B2→B19′ pathway is constrained by a fundamental trade-off between elastocaloric performance and cyclic stability. In this work, we demonstrate that activating the R→B19′ transformation pathway effectively circumvents this limitation. Differential scanning calorimetry confirms stable and reversible R→B19′ transformations in binary NiTi alloys. The reduced energy barrier between the R-phase and B19′ martensite facilitates a more continuous and efficient transformation, thereby suppressing the accumulation of irreversible defects. Through integrated thermomechanical processing and microstructural characterization, we show that NiTi alloys undergoing reversible R↔B19′ transformations exhibit a large adiabatic temperature change (18.59 K), high recoverable strain (4.86%), and exceptional cycling stability, retaining over 99% of performance after 200 tensile cycles. These findings establish a robust design strategy for high-performance shape memory alloys.
镍钛基形状记忆合金由于与应力诱导马氏体相变相关的潜热,是固态制冷的有希望的候选者。然而,传统的B2→B19’路径受到弹性热性能和循环稳定性之间的基本权衡的限制。在这项工作中,我们证明激活R→B19’转化途径有效地绕过了这一限制。差示扫描量热法证实了二元NiTi合金中R→B19′的稳定可逆转变。减小了r相与B19′马氏体之间的能垒,使得相变更加连续和有效,从而抑制了不可逆缺陷的积累。通过综合的热机械处理和微观结构表征,我们发现经过可逆R↔B19 '转化的NiTi合金具有较大的绝热温度变化(18.59 K)、高的可恢复应变(4.86%)和优异的循环稳定性,在200次拉伸循环后仍保持99%以上的性能。这些发现为高性能形状记忆合金的设计奠定了坚实的基础。
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引用次数: 0
Strain aging kinetics in FCC steels: site saturation vs matrix depletion FCC钢的应变老化动力学:位置饱和与基体耗竭
IF 5.6 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-03-15 Epub Date: 2025-12-17 DOI: 10.1016/j.scriptamat.2025.117140
Jee-Hyun Kang, Jeong-Moo Oh
Since Cottrell and Bilby first proposed a kinetic model for strain aging, many refinements have been introduced. In particular, Harper’s model gained attention for BCC steels because it additionally considered the depletion of interstitial atoms in the matrix, which is significant in these alloys. However, for FCC-based steels, Harper’s consideration becomes insufficient owing to their high interstitial solubility; sites adjacent to dislocations become saturated with interstitials more rapidly than the matrix is depleted. In this study, an integrated model was developed by incorporating both Harper’s and Hartley’s considerations. The proposed model was shown to reproduce the main features observed in nitrogen-bearing austenitic stainless steels. More importantly, it converges to Harper’s model under low interstitial concentrations, as in BCC steels, thereby providing a unified kinetic framework for static strain aging across both lattice types.
自从Cottrell和Bilby首次提出应变老化的动力学模型以来,已经引入了许多改进。特别是,Harper的模型引起了BCC钢的注意,因为它额外考虑了基体中间隙原子的损耗,这在这些合金中很重要。然而,对于fcc基钢,由于其高间隙溶解度,Harper的考虑变得不足;位错附近的位置被间隙饱和的速度要比基体耗尽的速度快。在本研究中,结合Harper’s和Hartley’s的考虑,建立了一个综合模型。所提出的模型被证明再现了在含氮奥氏体不锈钢中观察到的主要特征。更重要的是,它在低间隙浓度下收敛于哈珀模型,就像在BCC钢中一样,从而为两种晶格类型的静态应变老化提供了统一的动力学框架。
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引用次数: 0
Data-driven insights into composition-property relationships in FCC high entropy alloys FCC高熵合金中成分-性能关系的数据驱动分析
IF 5.6 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-03-15 Epub Date: 2025-12-19 DOI: 10.1016/j.scriptamat.2025.117136
Nicolás Flores , Daniel Salas Mula , Wenle Xu , Sahu Bibhu , Daniel Lewis , Alexandra Eve Salinas , Samantha Mitra , Raj Mahat , Surya R. Kalidindi , Justin Wilkerson , James Paramore , Ankit Srivastiva , George Pharr , Douglas Allaire , Ibrahim Karaman , Brady Butler , Vahid Attari , Raymundo Arróyave
Structural High Entropy Alloys (HEAs) are crucial in advancing technology across various sectors, including aerospace, automotive, and defense industries. Predictive modeling remains constrained by the extreme imbalance between the vast, continuous compositional design space of HEAs and the scarcity and heterogeneity of reliable experimental data. Identifying meaningful chemistry-property linkages under these constraints remains a key bottleneck in accelerating HEA discovery. Here, we address this challenge though a data-efficient, interpretable modeling framework applied to the BIRDSHOT Ni-Co-Fe-Cr-V-Mn-Cu-Al alloy system. Using sensitivity analyses and isometric log-ratio SHAP attributions, we isolate key elemental effects governing mechanical behavior, including the compositional signatures associated with brittle and fractured nanoindentation responses. Bayesian multi-objective optimization is used to tune sparsely connected, overcomplete encoder-decoder models for mapping alloy composition to six mechanical properties. These models outperform conventional regressors, particularly for yield strength and the UTS/YS ratio, demonstrating robust predictive capability and physically consistent interpretability under data-scarce conditions.
结构高熵合金(HEAs)在各个领域的技术进步中至关重要,包括航空航天、汽车和国防工业。预测建模仍然受到HEAs庞大、连续的组成设计空间与可靠实验数据的稀缺性和异质性之间极度不平衡的制约。在这些限制条件下确定有意义的化学性质联系仍然是加速HEA发现的关键瓶颈。在这里,我们通过应用于BIRDSHOT Ni-Co-Fe-Cr-V-Mn-Cu-Al合金系统的数据高效、可解释的建模框架来解决这一挑战。利用灵敏度分析和等距对数比SHAP属性,我们分离出控制力学行为的关键元素效应,包括与脆性和断裂纳米压痕响应相关的成分特征。贝叶斯多目标优化用于调整稀疏连接,过完备的编码器-解码器模型,以映射合金成分到六种力学性能。这些模型优于传统的回归模型,特别是在屈服强度和UTS/YS比率方面,在数据稀缺的条件下显示出强大的预测能力和物理上一致的可解释性。
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引用次数: 0
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Scripta Materialia
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