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000587556 1001_ $$0P:(DE-HGF)0$$aNeumann, Matthias$$b0$$eCorresponding author
000587556 245__ $$aThe Morphology of Nanoporous Glass: Stochastic 3D Modeling, Stereology and the Influence of Pore  Width
000587556 260__ $$aCollege Park, MD$$bAPS$$c2024
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000587556 520__ $$aExcursion sets of Gaussian random fields are used to model the three-dimensional (3D) morphology of differently manufactured porous glasses (PGs), which vary with respect to their mean pore widths measured by mercury intrusion porosimetry. The stochastic 3D model is calibrated by means of volume fractions and two-point coverage probability functions estimated from tomographic image data. Model validation is performed by comparing model realizations and image data in terms of morphological descriptors which are not used for model fitting. For this purpose, we consider mean geodesic tortuosity and constrictivity of the pore space, quantifying the length of the shortest transportation paths and the strength of bottleneck effects, respectively. Additionally, a stereological approach for parameter estimation is presented, i.e., the 3D model is calibrated using merely two-dimensional (2D) cross-sections of the 3D image data. Doing so, on average, a comparable goodness of fit is achieved as well. The variance of the calibrated model parameters is discussed, which is estimated on the basis of randomly chosen, individual 2D cross-sections. Moreover, interpolating between the model parameters calibrated to differently manufactured glasses enables the predictive simulation of virtual but realistic PGs with mean pore widths that have not yet been manufactured. The predictive power is demonstrated by means of cross-validation. Using the presented approach, relationships between parameters of the manufacturing process and descriptors of the resulting morphology of PGs are quantified, which opens possibilities for an efficient optimization of the underlying manufacturing process.
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000587556 536__ $$0G:(GEPRIS)318019437$$aSFB 986 B07 - Polymere in grenzflächenbestimmten Geometrien: Struktur, Dynamik und Funktion an planaren und in porösen Hybridsystemen (B07) (318019437)$$c318019437$$x1
000587556 536__ $$0G:(GEPRIS)445052466$$aSFB 986 C10 - Photonische Metamaterialien mit anpassbarer und schaltbarer Anisotropie durch Funktionalisierung von porösen Festkörpern mit Flüssigkristallen (C10*) (445052466)$$c445052466$$x2
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000587556 7001_ $$0P:(DE-HGF)0$$aGräfensteiner, Phillip$$b1$$eCorresponding author
000587556 7001_ $$0P:(DE-HGF)0$$aSantos de Oliveira, Cristine$$b2
000587556 7001_ $$0P:(DE-HGF)0$$aMartins-Schalinski, Juliana$$b3
000587556 7001_ $$0P:(DE-HGF)0$$aKoppka, Sharon$$b4
000587556 7001_ $$0P:(DE-HGF)0$$aEnke, Dirk$$b5
000587556 7001_ $$0P:(DE-H253)PIP1013897$$aHuber, Patrick$$b6$$eCorresponding author
000587556 7001_ $$0P:(DE-HGF)0$$aSchmidt, Volker$$b7
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000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1016/S1387-1811(03)00329-9
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1002/cite.201300088
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1103/PhysRevE.79.067301
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1088/0953-8984/27/10/103102
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1103/PhysRevApplied.18.054027
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1042/EBC20200020
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1016/0922-338X(91)90150-F
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1016/0922-338X(94)90134-1
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.3390/pharmaceutics14061184
000587556 999C5 $$1C. J. Brinker$$2Crossref$$oC. J. Brinker Sol-Gel Science: The Physics and Chemistry of Sol-Gel Processing 2013$$tSol-Gel Science: The Physics and Chemistry of Sol-Gel Processing$$y2013
000587556 999C5 $$1T. H. Elmer$$2Crossref$$oT. H. Elmer Engineered Materials Handbook, Vol. 4: Ceramics and Glasses 1991$$tEngineered Materials Handbook, Vol. 4: Ceramics and Glasses$$y1991
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1002/cite.201600049
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1039/C5NJ03591K
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1021/acs.langmuir.0c03047
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1007/s10450-016-9792-y
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1039/C6CC00962J
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1103/PhysRevB.60.12657
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1103/PhysRevB.64.184203
000587556 999C5 $$1M. Neumann$$2Crossref$$oM. Neumann Simulation Science: First International Workshop, SimScience 2017, Göttingen, Germany, April 27-28, 2017, Revised Selected Papers 2018$$tSimulation Science: First International Workshop, SimScience 2017, Göttingen, Germany, April 27-28, 2017, Revised Selected Papers$$y2018
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1002/aic.16391
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1016/j.powtec.2020.09.056
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1016/j.ijsolstr.2019.03.028
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.3389/fmats.2021.786502
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1038/s41598-020-72085-5
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1073/pnas.1119352109
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1016/j.colsurfa.2015.09.055
000587556 999C5 $$1D. Enke$$2Crossref$$oD. Enke Characterization of Porous Solids VI: Proceedings of the 6th International Symposium on the Characterization of Porous Solids (COPS-VI) 2002$$tCharacterization of Porous Solids VI: Proceedings of the 6th International Symposium on the Characterization of Porous Solids (COPS-VI)$$y2002
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1039/C8RE00037A
000587556 999C5 $$1C. Lantuéjoul$$2Crossref$$9-- missing cx lookup --$$a10.1007/978-3-662-04808-5$$y2002
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1021/la9710379
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1021/la9808418
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1111/jmi.12374
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1016/j.commatsci.2017.11.015
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1016/j.jpowsour.2018.11.095
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1007/s11242-019-01240-y
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1016/j.commatsci.2018.09.033
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1063/1.1563038
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1016/j.commatsci.2015.02.039
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1016/j.actamat.2018.01.005
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1016/S0001-8686(98)00042-6
000587556 999C5 $$1S. N. Chiu$$2Crossref$$9-- missing cx lookup --$$a10.1002/9781118658222$$y2013
000587556 999C5 $$1D. Jeulin$$2Crossref$$9-- missing cx lookup --$$a10.1007/978-3-030-75452-5$$y2021
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1038/s42256-021-00322-1
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1103/PhysRevE.57.495
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1103/PhysRevLett.121.265501
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1103/PhysRevE.104.035304
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1088/0965-0393/6/3/002
000587556 999C5 $$1B. Jähne$$2Crossref$$oB. Jähne Digital Image Processing 2013$$tDigital Image Processing$$y2013
000587556 999C5 $$1A. Buades$$2Crossref$$oA. Buades IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 05), San Diego, CA, USA 2005$$tIEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 05), San Diego, CA, USA$$y2005
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1039/D1QM00383F
000587556 999C5 $$1R. J. Adler$$2Crossref$$oR. J. Adler The Geometry of Random Fields 1981$$tThe Geometry of Random Fields$$y1981
000587556 999C5 $$1J. Ohser$$2Crossref$$9-- missing cx lookup --$$a10.1002/9783527628308$$y2009
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1063/1.1695731
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1038/s41524-020-0341-6
000587556 999C5 $$1K. Schladitz$$2Crossref$$oK. Schladitz 13th International Conference Discrete Geometry for Computer Imagery 2007$$t13th International Conference Discrete Geometry for Computer Imagery$$y2007
000587556 999C5 $$1G. Matheron$$2Crossref$$oG. Matheron Random Sets and Integral Geometry 1975$$tRandom Sets and Integral Geometry$$y1975
000587556 999C5 $$1J. Serra$$2Crossref$$oJ. Serra Image Analysis and Mathematical Morphology 1982$$tImage Analysis and Mathematical Morphology$$y1982
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1016/0031-3203(84)90057-8
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1007/s10853-012-6968-z
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1144/GSL.SP.1997.122.01.18
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.2136/sssaj2012.0435
000587556 999C5 $$1L. Holzer$$2Crossref$$9-- missing cx lookup --$$a10.1007/978-3-031-30477-4$$y2023
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1016/j.jpowsour.2013.05.047
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1111/sjos.12375
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1111/jmi.12077
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1214/10-AOS799
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1016/j.commatsci.2019.109083
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1088/0965-0393/23/4/045003
000587556 999C5 $$1T. Hastie$$2Crossref$$oT. Hastie The Elements of Statistical Learning 2008$$tThe Elements of Statistical Learning$$y2008
000587556 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1007/s11004-013-9492-z