Super-resolving microscopy images of Li-ion electrodes for fine-feature quantification using generative adversarial networks

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: npj Computational Materials ; 8 (2022). - Art.-Nr. 68. - eISSN 2057-3960

Keyword: Batterie
Rasterelektronenmikroskopie

Event: Veröffentlichung

(where): Ulm

(who): Universität Ulm

(when): 2022

Creator: Furat, Orkun

DOI: 10.18725/OPARU-49669

URN: urn:nbn:de:bsz:289-oparu-49745-7

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:47 PM CET

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Furat, Orkun
Universität Ulm

Time of origin

2022

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Super-resolving microscopy images of Li-ion electrodes for fine-feature quantification using generative adversarial networks

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