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Data · dataset · 2026

Precise Nanoscale Mapping of Electric Fields across Random Grain Boundaries in Polycrystalline Oxides Using Precession-Assisted 4D-STEM

Listed in RADAR and RADAR4Memory — shown once because both records carry DOI 10.35097/7rmnd7w9mz4b1kb0

Space charge layers (SCLs) at grain boundaries play a crucial role in modulating local electric fields and influencing the functional properties of materials, such as oxygen vacancy migration and ionic conductivity in oxide ceramics.

Description

However, the direct experimental analysis of such localized electric fields and the corresponding charge distribution remains challenging. Conventional center-of-mass (CoM) analysis in scanning transmission electron microscopy differential phase contrast (STEM-DPC) is strongly affected by orientation-dependent contrast and dynamic scattering.

Here, we demonstrate that combining electron beam precession with advanced post-processing, employing iterative edge detection via a Sobel filter and singular value decomposition (SVD), enables reliable and precise diffraction-shift measurements with reduced crystallographic artifacts. The new method enables precise refinement of the central disk position in nanobeam electron diffraction (NBED) patterns and thus significantly improves the extraction of the local electric field and corresponding charge distribution.

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Comparative analysis with conventional CoM methods shows superior precision and robustness for random grain boundaries in BaTiO₃ and SrTiO₃ as exemplary case studies. The experimental work is complemented by atomistic simulations to separate the electric field of the SCL from the mean inner potential difference of the grain boundary and the elemental segregation around the grain boundary. The in-depth analysis shows that our approach enables high-fidelity mapping of electromagnetic fields and their charge distribution in complex polycrystalline specimens, laying the groundwork for improved quantitative analysis using STEM-DPC.

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Catalogue records · 1

Topics

Inferred from text
Microscopy 75% · Nanotechnology 71%
Provenance · 2 source records, 11 field assertions
SourceKeyLast seenRaw
RADAR10.35097/7rmnd7w9mz4b1kb010 d agoJSON v1
RADAR4Memory10.35097/7rmnd7w9mz4b1kb010 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · radar service eu deconnector:radar_service_eu_de@1.0.0
concepts[field].anzsrc:group:4018enrichment · radar service eu detaxonomy-embedding@1.1.0title+keywords+description (71%)
concepts[field].local:field:earth-environmentalmapping · radar service eu deconnector:radar_service_eu_de@1.0.0
concepts[field].local:field:earth-environmentalmapping · radar4memory radar service euconnector:radar4memory_radar_service_eu@1.0.0
concepts[field].local:field:engineeringmapping · radar4memory radar service euconnector:radar4memory_radar_service_eu@1.0.0
concepts[field].local:field:engineeringmapping · radar service eu deconnector:radar_service_eu_de@1.0.0
concepts[modality].local:modality:microscopyenrichment · radar service eu dekeyword-concept-rules@1.0.0title+description (75%)
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