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An optimized TEM specimen preparation method of quantum nanostructures.
Wang, Hongguang; Srot, Vesna; Fenk, Bernhard; Laskin, Gennadii; Mannhart, Jochen; van Aken, Peter A.
Afiliación
  • Wang H; Max Planck Institute for Solid State Research, 70569 Stuttgart, Germany. Electronic address: hgwang@fkf.mpg.de.
  • Srot V; Max Planck Institute for Solid State Research, 70569 Stuttgart, Germany.
  • Fenk B; Max Planck Institute for Solid State Research, 70569 Stuttgart, Germany.
  • Laskin G; Max Planck Institute for Solid State Research, 70569 Stuttgart, Germany.
  • Mannhart J; Max Planck Institute for Solid State Research, 70569 Stuttgart, Germany.
  • van Aken PA; Max Planck Institute for Solid State Research, 70569 Stuttgart, Germany.
Micron ; 140: 102979, 2021 Jan.
Article en En | MEDLINE | ID: mdl-33197749
Electron transparent TEM lamella with unaltered microstructure and chemistry is the prerequisite for successful TEM explorations. Currently, TEM specimen preparation of quantum nanostructures, such as quantum dots (QDs), remains a challenge. In this work, we optimize the sample-preparation routine for achieving high-quality TEM specimens consisting of SrRuO3 (SRO) QDs grown on SrTiO3 (STO) substrates. We demonstrate that a combination of ion-beam-milling techniques can produce higher-quality specimens of quantum nanostructures compared to TEM specimens prepared by a combination of tripod polishing followed by Ar+ ion milling. In the proposed method, simultaneous imaging in a focused ion-beam device enables accurate positioning of the QD regions and assures the presence of dots in the thin lamella by cutting the sample inclined by 5° relative to the dots array. Furthermore, the preparation of TEM lamellae with several large electron-transparent regions that are separated by thicker walls effectively reduces the bending of the specimen and offers broad thin areas. The final use of a NanoMill efficiently removes the amorphous layer without introducing any additional damage.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Micron Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Micron Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article
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