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

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.

Authors

Institutions

Publication Details

Journal
Small Methods
Published
2025-02-28
DOI
https://doi.org/10.1002/smtd.202401650
Citations
2
Primary Topic
Advanced Materials Characterization Techniques
Type
article
Field-Weighted Citation Impact
1.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Christian H. Liebscher, Srikakulapu Kiranbabu, Saurabh Mohan Das, E.F. Rauch et al.
2 citations
Small Methods
Advanced Materials Characterization Techniques
1.35
article

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

Christian H. Liebscher, Srikakulapu Kiranbabu, Saurabh Mohan Das, E.F. Rauch, Xuyang Zhou, Michael Herbig, Wolfgang Ludwig, Patrick Harrison
article en
2 citations

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.

Small MethodsVol. 9(5)
Institut polytechnique de Grenoble (FR), Centre National de la Recherche Scientifique (FR), European Synchrotron Radiation Facility (FR), Science et Ingénierie des Matériaux et Procédés (FR), Max-Planck-Institut für Nachhaltige Materialien (DE), Matériaux Ingénierie et Science (FR), Institut National des Sciences Appliquées de Lyon (FR), Ruhr University Bochum (DE)
Deutsche Forschungsgemeinschaft, Agence Nationale de la Recherche
Climate action
Openalex Percentile: Top 23%
Advanced Materials Characterization Techniques
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.