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Issue DateTitleInvolved Person(s)
2020Quantifying the influence of microstructure on effective conductivity and permeability: virtual materials testingNeumann, Matthias; Stenzel, Ole; Willot, François; Holzer, Lorenz; Schmidt, Volker
2019Stochastic 3D modeling of three-phase microstructures for predicting transport properties: a case studyNeumann, Matthias; Abdallah, Bassam; Holzer, Lorenz; Willot, François; Schmidt, Volker
2018On microstructure-property relationships derived by virtual materials testing with an emphasis on effective conductivityNeumann, Matthias; Furat, Orkun; Hlushkou, Dzmitry; Tallarek, Ulrich; Holzer, Lorenz; Schmidt, Volker
2017Big data for microstructure-property relationships : a case study of predicting effective conductivitiesStenzel, Ole; Pecho, Omar; Holzer, Lorenz; Neumann, Matthias; Schmidt, Volker
1-Jun-2016Stochastic 3D modeling of complex three-phase microstructures in SOFC-electrodes with completely connected phasesNeumann, Matthias; Staněk, Jakub; Pecho, Omar M.; Holzer, Lorenz; Beneš, Viktor; Schmidt, Volker
2016Predicting effective conductivities based on geometric microstructure characteristicsStenzel, Ole; Pecho, Omar; Holzer, Lorenz; Neumann, Matthias; Schmidt, Volker
26-Aug-20153D microstructure effects in Ni-YSZ anodes : prediction of effective transport properties and optimization of redox stabilityPecho, Omar M.; Stenzel, Ole; Iwanschitz, Boris; Gasser, Philippe; Neumann, Matthias; Schmidt, Volker; Prestat, Michel; Hocker, Thomas; Flatt, Robert J.; Holzer, Lorenz
25-Feb-2014Quantitative relationships between microstructure and effective transport properties based on virtual materials testingGaiselmann, Gerd; Neumann, Matthias; Schmidt, Volker; Pecho, Omar; Hocker, Thomas; Holzer, Lorenz
Feb-2013Stochastic 3D modeling of La0.6Sr0.4CoO3−δ cathodes based on structural segmentation of FIB–SEM imagesGaiselmann, Gerd; Neumann, Matthias; Holzer, Lorenz; Hocker, Thomas; Prestat, Michel René; Schmidt, Volker