1. ZHAW digitalcollection
  2. School of Engineering
  3. Forschungsdaten
  4. ZHAW Forschungsdaten School of Engineering
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dc.contributor.authorMarmet, Philip-
dc.contributor.authorHolzer, Lorenz-
dc.contributor.authorHocker, Thomas-
dc.contributor.authorBoiger, Gernot K.-
dc.contributor.authorBausinger, Holger-
dc.contributor.authorMai, Andreas-
dc.contributor.authorFingerle, Mathias-
dc.contributor.authorReeb, Sarah-
dc.contributor.authorMichel, Dominik-
dc.contributor.authorBrader, Joseph M.-
dc.date.accessioned2023-05-26T09:26:06Z-
dc.date.available2023-05-26T09:26:06Z-
dc.date.issued2023-03-17-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/27934-
dc.description.abstractPerformance and durability of solid oxide cell (SOC) electrodes are closely linked to their microstructure properties. Thus, the comprehensive characterization of the 3D microstructures e.g., obtained by FIB-SEM tomography is essential for SOC electrode optimization. Recent advances and trends call for a standardized and automated microstructure characterization. Advances in FIB-SEM tomography enable the acquisition of more samples. In order to make reasonable comparisons of 3D microstructures from different sources and to make reliable statistical analyses, these structures need to be analyzed with standardized 3D image processing tools. In addition, the emerging methods for Digital Materials Design (DMD) enable to create numerous virtual but realistic microstructure variations using stochastic microstructure modeling. For such a DMD workflow, many virtual microstructures need to be characterized. Thus, the availability of a standardized, efficient and automated microstructure characterization tool is a crucial prerequisite for the data-driven optimization of energy materials. This dataset provides a standardized microstructure characterization tool for SOC electrodes, which is implemented as a Python app for the GeoDict software-package. A large number of microstructure characteristics can be determined with this app, which are relevant for the performance of conventional electrodes like Ni-YSZ and for more recent MIEC-based electrodes like Ni-CGO or titanate-CGO anodes. This dataset consists of the following files: - The SOC characterization app is described in detail in the file “1_Read_Me_SOC_Characterization_App.pdf” including a description of three examples (testcases with 3D structures). - The scripts for the characterization-app are provided in the folder “2_SOC_Characterization_App”. - Three characterization examples are provided in the folder “3_Characterization_Examples”.de_CH
dc.language.isoende_CH
dc.publisherZenodode_CH
dc.relation.isreferencedbyhttps://doi.org/10.1039/d3ya00132fde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectSOFCde_CH
dc.subjectStandardized microstructure characterizationde_CH
dc.subjectMicrostructure propertiesde_CH
dc.subjectDigital Materials Designde_CH
dc.subjectVirtual materials testingde_CH
dc.subjectGeoDictde_CH
dc.subjectTortuosityde_CH
dc.subjectEffective transport propertiesde_CH
dc.subjectTomographyde_CH
dc.subjectEnergy materialde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.subject.ddc621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnikde_CH
dc.titleCharacterization-app : standardized microstructure characterization of SOC electrodes as a key element for Digital Materials Designde_CH
dc.typeForschungsdatende_CH
dcterms.typeSoftwarede_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitute of Computational Physics (ICP)de_CH
dc.identifier.doi10.5281/zenodo.7741305de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.webfeedMultiphysics Modelingde_CH
zhaw.funding.zhawVersatile oxide fuel cell microstructures employing WGS active titanate anode current collectors compatible to ferritic stainless steel interconnects (VOLTA)de_CH
zhaw.funding.zhawGeoCloud – Simulation Software for Cloud-based Digital Microstructure Design of New Fuel Cell Materialsde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:ZHAW Forschungsdaten School of Engineering

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Marmet, P., Holzer, L., Hocker, T., Boiger, G. K., Bausinger, H., Mai, A., Fingerle, M., Reeb, S., Michel, D., & Brader, J. M. (2023). Characterization-app : standardized microstructure characterization of SOC electrodes as a key element for Digital Materials Design [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7741305
Marmet, P. et al. (2023) ‘Characterization-app : standardized microstructure characterization of SOC electrodes as a key element for Digital Materials Design’. Zenodo. Available at: https://doi.org/10.5281/zenodo.7741305.
P. Marmet et al., “Characterization-app : standardized microstructure characterization of SOC electrodes as a key element for Digital Materials Design.” Zenodo, Mar. 17, 2023. doi: 10.5281/zenodo.7741305.
MARMET, Philip, Lorenz HOLZER, Thomas HOCKER, Gernot K. BOIGER, Holger BAUSINGER, Andreas MAI, Mathias FINGERLE, Sarah REEB, Dominik MICHEL und Joseph M. BRADER, 2023. Characterization-app : standardized microstructure characterization of SOC electrodes as a key element for Digital Materials Design. Data set. 17 März 2023. Zenodo
Marmet, Philip, Lorenz Holzer, Thomas Hocker, Gernot K. Boiger, Holger Bausinger, Andreas Mai, Mathias Fingerle, Sarah Reeb, Dominik Michel, and Joseph M. Brader. 2023. “Characterization-App : Standardized Microstructure Characterization of SOC Electrodes as a Key Element for Digital Materials Design.” Data set. Zenodo. https://doi.org/10.5281/zenodo.7741305.
Marmet, Philip, et al. Characterization-App : Standardized Microstructure Characterization of SOC Electrodes as a Key Element for Digital Materials Design. Zenodo, 17 Mar. 2023, https://doi.org/10.5281/zenodo.7741305.


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