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S. J. Pennycook

Researcher at Oak Ridge National Laboratory

Publications -  247
Citations -  5433

S. J. Pennycook is an academic researcher from Oak Ridge National Laboratory. The author has contributed to research in topics: Scanning transmission electron microscopy & Thin film. The author has an hindex of 41, co-authored 245 publications receiving 5202 citations. Previous affiliations of S. J. Pennycook include University of Cádiz & Spanish National Research Council.

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Journal ArticleDOI

Enhanced tunnelling electroresistance effect due to a ferroelectrically induced phase transition at a magnetic complex oxide interface

TL;DR: Electrical, ferroelectric and magnetoresistive measurements combined with first-principles calculations provide evidence for a magnetoelectric origin of the enhanced TER, and indicate the presence of defect-mediated conduction in the FTJs.
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Atomic arrangement of iodine atoms inside single-walled carbon nanotubes

TL;DR: At atomic resolution Z-contrast scanning transmission electron microscopy images that reveal the incorporation of I atoms in the form of helical chains inside single-walled carbon nanotubes are reported.
Journal ArticleDOI

The effect of interfacial layer properties on the performance of Hf-based gate stack devices

TL;DR: In this article, the influence of Hf-based dielectrics on the underlying SiO2 interfacial layer (IL) in high-k gate stacks is investigated, and it is concluded that high temperature processing generates oxygen vacancies in the IL responsible for the observed trend in transistor performance.
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Self-Limiting Growth of Strained Faceted Islands

TL;DR: In this paper, the growth of faceted semiconductor islands was investigated and the island growth rate was found to rapidly self-limit, which has important consequences for island size distributions.
Book ChapterDOI

Structure determination through Z-contrast microscopy

TL;DR: In this article, the authors outlined the quantum mechanical basis for regarding Z-contrast imaging and EELS in the STEM as directly interpretable, column-by-column imaging and analysis.