Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Predicting effective conductivities based on geometric microstructure characteristics
Authors: Stenzel, Ole
Pecho, Omar
Holzer, Lorenz
Neumann, Matthias
Schmidt, Volker
DOI: 10.1002/aic.15160
Published in: AIChE Journal
Volume(Issue): 62
Issue: 5
Page(s): 1834
Pages to: 1843
Issue Date: 2016
Publisher / Ed. Institution: Wiley
ISSN: 1547-5905
0001-1541
Language: English
Subjects: Map
Subject (DDC): 540: Chemistry
620.11: Engineering materials
URI: https://digitalcollection.zhaw.ch/handle/11475/2217
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Computational Physics (ICP)
Appears in collections:Publikationen School of Engineering

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Stenzel, O., Pecho, O., Holzer, L., Neumann, M., & Schmidt, V. (2016). Predicting effective conductivities based on geometric microstructure characteristics. AIChE Journal, 62(5), 1834–1843. https://doi.org/10.1002/aic.15160
Stenzel, O. et al. (2016) ‘Predicting effective conductivities based on geometric microstructure characteristics’, AIChE Journal, 62(5), pp. 1834–1843. Available at: https://doi.org/10.1002/aic.15160.
O. Stenzel, O. Pecho, L. Holzer, M. Neumann, and V. Schmidt, “Predicting effective conductivities based on geometric microstructure characteristics,” AIChE Journal, vol. 62, no. 5, pp. 1834–1843, 2016, doi: 10.1002/aic.15160.
STENZEL, Ole, Omar PECHO, Lorenz HOLZER, Matthias NEUMANN und Volker SCHMIDT, 2016. Predicting effective conductivities based on geometric microstructure characteristics. AIChE Journal. 2016. Bd. 62, Nr. 5, S. 1834–1843. DOI 10.1002/aic.15160
Stenzel, Ole, Omar Pecho, Lorenz Holzer, Matthias Neumann, and Volker Schmidt. 2016. “Predicting Effective Conductivities Based on Geometric Microstructure Characteristics.” AIChE Journal 62 (5): 1834–43. https://doi.org/10.1002/aic.15160.
Stenzel, Ole, et al. “Predicting Effective Conductivities Based on Geometric Microstructure Characteristics.” AIChE Journal, vol. 62, no. 5, 2016, pp. 1834–43, https://doi.org/10.1002/aic.15160.


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