Correlating Grain Boundary Character and Composition in 3-Dimensions Using 4D-Scanning Precession Electron Diffraction and Atom Probe Tomography

IF 9.1 2区 材料科学 Q1 CHEMISTRY, PHYSICAL Small Methods Pub Date : 2025-02-28 DOI:10.1002/smtd.202401650
Saurabh M. Das, Patrick Harrison, Srikakulapu Kiranbabu, Xuyang Zhou, Wolfgang Ludwig, Edgar F. Rauch, Michael Herbig, Christian H. Liebscher
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Abstract

Grain boundaries (GBs) are dominant imperfections in nanocrystalline materials that form a complex 3D network. Solute segregation to GBs is strongly coupled to the GB character, which governs the stability and macroscopic properties of nanostructured materials. Here, a 3D transmission electron microscopy and atom probe tomography (APT) correlation framework are developed to retrieve the GB character and composition at the highest spatial resolution and chemical sensitivity by correlating 4D scanning precession electron diffraction tomography (4D-SPEDT) and APT on the same sample. The 3D GB habit plane network and explore the preferential segregation of Cu and Si in a nanocrystalline Ni-W alloy is obtained. The correlation of structural and compositional information reveals that Cu segregates predominantly along high-angle GBs and incoherent twin boundaries, whereas Si segregation to low-angle and incommensurate GBs is observed. The novel full 3D correlative approach employed in this work opens up new possibilities to explore the 3D crystallographic and compositional nature of nanomaterials. This lays the foundation for both probing the true 3D structure-chemistry at the sub-nanometer scale and, consequentially, tailoring the macroscopic properties of advanced nanomaterials.

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利用四维扫描前驱电子衍射和原子探针断层扫描技术在三维空间中关联晶界特征和成分
晶界(GBs)是纳米晶材料的主要缺陷,形成复杂的三维网络。溶质向GB的偏析与GB的性质密切相关,而GB的性质决定了纳米结构材料的稳定性和宏观性能。本文建立了三维透射电镜和原子探针断层扫描(APT)相关框架,通过将同一样品上的4D扫描进动电子衍射断层扫描(4D- spedt)和APT进行关联,以最高的空间分辨率和化学灵敏度检索GB特征和组成。获得了纳米晶Ni-W合金的三维GB习惯面网络,并对Cu和Si在纳米晶Ni-W合金中的优先偏析进行了探讨。结构和成分信息的对比表明,铜主要沿高角度晶界和非共格孪晶界偏析,而硅主要沿低角度晶界和非共格孪晶界偏析。在这项工作中采用的新颖的全三维相关方法为探索纳米材料的三维晶体学和成分性质开辟了新的可能性。这为在亚纳米尺度上探索真正的三维结构化学,以及相应地调整先进纳米材料的宏观特性奠定了基础。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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