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@ARTICLE{Neumann:587556,
      author       = {Neumann, Matthias and Gräfensteiner, Phillip and Santos de
                      Oliveira, Cristine and Martins-Schalinski, Juliana and
                      Koppka, Sharon and Enke, Dirk and Huber, Patrick and
                      Schmidt, Volker},
      title        = {{T}he {M}orphology of {N}anoporous {G}lass: {S}tochastic
                      3{D} {M}odeling, {S}tereology and the {I}nfluence of {P}ore
                      {W}idth},
      journal      = {Physical review materials},
      volume       = {8},
      number       = {4},
      issn         = {2475-9953},
      address      = {College Park, MD},
      publisher    = {APS},
      reportid     = {PUBDB-2023-04372},
      pages        = {045605},
      year         = {2024},
      abstract     = {Excursion 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.},
      cin          = {CIMMS},
      ddc          = {530},
      cid          = {I:(DE-H253)CIMMS-20211022},
      pnm          = {632 - Materials – Quantum, Complex and Functional
                      Materials (POF4-632) / SFB 986 B07 - Polymere in
                      grenzflächenbestimmten Geometrien: Struktur, Dynamik und
                      Funktion an planaren und in porösen Hybridsystemen (B07)
                      (318019437) / SFB 986 C10 - Photonische Metamaterialien mit
                      anpassbarer und schaltbarer Anisotropie durch
                      Funktionalisierung von porösen Festkörpern mit
                      Flüssigkristallen (C10*) (445052466) / DFG project
                      G:(GEPRIS)390874152 - EXC 2154: POLiS - Post Lithium Storage
                      Cluster of Excellence (390874152)},
      pid          = {G:(DE-HGF)POF4-632 / G:(GEPRIS)318019437 /
                      G:(GEPRIS)445052466 / G:(GEPRIS)390874152},
      experiment   = {EXP:(DE-MLZ)NOSPEC-20140101},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001218097200004},
      doi          = {10.1103/PhysRevMaterials.8.045605},
      url          = {https://bib-pubdb1.desy.de/record/587556},
}