Publications in scientific journals

Aricò, C., Helmig, R., Puleo, D., & Schneider, M. (2024). A new numerical mesoscopic scale one-domain approach solver for free fluid/porous medium interaction. Computer Methods in Applied Mechanics and Engineering, 419, 116655. https://doi.org/10.1016/j.cma.2023.116655

Boon, W. M., Gläser, D., Helmig, R., Weishaupt, K., & Yotov, I. (2024). A mortar method for the coupled Stokes-Darcy problem using the MAC scheme for Stokes and mixed finite elements for Darcy. Computational Geosciences, 28(3), Article 3. https://doi.org/10.1007/s10596-023-10267-6

Bringedal, C., & Jaust, A. (2024). Phase-field modeling and effective simulation of non-isothermal reactive transport. Results in Applied Mathematics, 21, 100436. https://doi.org/10.1016/j.rinam.2024.100436

Brodbeck, M., Egli, F. S., Suditsch, M., Seyedpour, S. M., & Ricken, T. (2024). On the influence of non-linearity within two-phase poro-elasticity: Numerical examples and counterexamples. Examples and Counterexamples, 6, 100167. https://doi.org/10.1016/j.exco.2024.100167

Bruennette, T., & Nowak, W. (2024). Efficient Inference for Non-Deterministic Fractures. GeoENV2024 Book of Abstracts, 67--68.

Bursik, B., Eller, J., & Gross, J. (2024). Predicting Solvation Free Energies from the Minnesota Solvation Database Using Classical Density Functional Theory Based on the PC-SAFT Equation of State. The Journal of Physical Chemistry B. https://doi.org/10.1021/acs.jpcb.3c07447

Gadirov, H., Roerdink, J. B. T. M., & Frey, S. (2024). FLINT: Learning-based Flow Estimation and Temporal Interpolation for Scientific Ensemble Visualization. https://arxiv.org/abs/2409.19178

Gao, H., Abdullah, H., Tatomir, A. B., Karadimitriou, N. K., Steeb, H., Zhou, D., Liu, Q., & Sauter, M. (2024). Pore-scale study of the effects of grain size on the capillary-associated interfacial area during primary drainage. Journal of Hydrology, 632, 130865. https://doi.org/10.1016/j.jhydrol.2024.130865

Hörl, M., & Rohde, C. (2024). Rigorous derivation of discrete fracture models for Darcy flow in the limit of vanishing aperture. Networks and Heterogeneous Media, 19(1), Article 1. https://doi.org/10.3934/nhm.2024006

Jannesarahmadi, S., Aminzadeh, M., Helmig, R., Or, D., & Shokri, N. (2024). Quantifying Salt Crystallization Impact on Evaporation Dynamics From Porous Surfaces. Geophysical Research Letters, 51(22), Article 22. https://doi.org/10.1029/2024gl111080

Krach, D., Ruf, M., & Steeb, H. (2024). POREMAPS 1.0.0: Code, Benchmarks, Applications. https://doi.org/10.18419/darus-3676

Lee, D., Ruf, M., Karadimitriou, N., Steeb, H., Manousidaki, M., Varouchakis, E. A., Tzortzakis, S., & Yiotis, A. (2024). Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation. Scientific Reports, 14(1), Article 1. https://doi.org/10.1038/s41598-024-60075-w

Lohrmann, C., Holm, C., & Datta, S. S. (2024). Influence of bacterial swimming and hydrodynamics on attachment of phages. Soft Matter. https://doi.org/10.1039/D4SM00060A

Mel’nyk, T., & Rohde, C. (2024). Reduced-dimensional modelling for nonlinear convection-dominated flow in cylindric domains. Nonlinear Differential Equations and Applications NoDEA, 31(6), Article 6. https://doi.org/10.1007/s00030-024-00997-6

Mel’nyk, T. A., & Rohde, C. (2024). Asymptotic approximations for semilinear parabolic convection-dominated transport problems in thin graph-like networks. Journal of Mathematical Analysis and Applications, 529(1), Article 1. https://doi.org/10.1016/j.jmaa.2023.127587

Mel’nyk, T., & Rohde, C. (2024). Asymptotic expansion for convection-dominated transport in a thin graph-like junction. Analysis and Applications, 22(05), Article 05. https://doi.org/10.1142/s0219530524500040

Mel’nyk, T., & Rohde, C. (2024). Puiseux asymptotic expansions for convection-dominated transport problems in thin graph-like networks: Strong boundary interactions. Asymptotic Analysis, 137(1–2), Article 1–2. https://doi.org/10.3233/asy-231876

Mel’nyk, T. A., & Durante, T. (2024). Spectral problems with perturbed Steklov conditions in thick junctions with branched structure. Applicable Analysis, 1–26. https://doi.org/10.1080/00036811.2024.2322644

Nordbotten, J. M., Ferno, M. A., Flemisch, B., Kovscek, A. R., & Lie, K.-A. (2024). The 11th Society of Petroleum Engineers Comparative Solution Project: Problem Definition. SPE Journal, 1–18. https://doi.org/10.2118/218015-pa

Nordbotten, J. M., Fernø, M., Flemisch, B., Juanes, R., & Jørgensen, M. (2024). Experimentally assessing the uncertainty of forecasts of geological carbon storage. International Journal of Greenhouse Gas Control, 135, 104162. https://doi.org/10.1016/j.ijggc.2024.104162

Nowak, W., Brünnette, T., Schalkers, M., & Möller, M. (2024). Overdispersion in gate tomography: Experiments and continuous, two-scale random walk model on the Bloch sphere. https://arxiv.org/abs/2407.03970

Pelzer, J., & Schulte, M. (2024). Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks. Geoenergy Science and Engineering, 237, 212788. https://doi.org/10.1016/j.geoen.2024.212788

Schollenberger, T., von Wolff, L., Bringedal, C., Pop, I. S., Rohde, C., & Helmig, R. (2024). Investigation of Different Throat Concepts for Precipitation Processes in Saturated Pore-Network Models. Transport in Porous Media. https://doi.org/10.1007/s11242-024-02125-5

Shokri, J., Ruf, M., Lee, D., Mohammadrezaei, S., Steeb, H., & Niasar, V. (2024). Exploring Carbonate Rock Dissolution Dynamics and the Influence of Rock Mineralogy in CO2 Injection. Environmental Science & Technology. https://doi.org/10.1021/acs.est.3c06758

Stierle, R., Bauer, G., Thiele, N., Bursik, B., Rehner, P., & Gross, J. (2024). Classical density functional theory in three dimensions with GPU-accelerated automatic differentiation: Computational performance analysis using the example of adsorption in covalent-organic frameworks. Chemical Engineering Science, 298, 120380. https://doi.org/10.1016/j.ces.2024.120380

Straub, A., Sadlo, F., & Ertl, T. (2024). Feature-based deformation for flow visualization. Journal of Visualization. https://doi.org/10.1007/s12650-024-00963-5

Tovey, S., Krippendorf, S., Spannowsky, M., Nikolaou, K., & Holm, C. (2024). Collective variables of neural networks: empirical time evolution and scaling laws. https://arxiv.org/abs/2410.07451

Veyskarami, M., Bringedal, C., & Helmig, R. (2024). Modeling and Analysis of Droplet Evaporation at the Interface of a Coupled Free-Flow--Porous Medium System. Transport in Porous Media. https://doi.org/10.1007/s11242-024-02123-7

Wachsmann, S. B., Ruf, M., Prinz, C., Oehlsen, N., Zhou, X., Dyballa, M., Arweiler, C., Leistner, P., Steeb, H., Garrecht, H., Laschat, S., & Stegbauer, L. (2024). Chitin/Chitosan Biocomposite Foams with Chitins from Different Organisms for Sound Absorption. ACS Sustainable Chemistry & Engineering, 12(32), Article 32. https://doi.org/10.1021/acssuschemeng.4c00044

Wang, J., Sonntag, A., Lee, D., Xotta, G., Salomoni, V. A., Steeb, H., Wagner, A., & Ehlers, W. (2024). Modelling and simulation of natural hydraulic fracturing applied to experiments on natural sandstone cores. Acta Geotechnica. https://doi.org/10.1007/s11440-024-02351-7

Wang, W., Zhang, X., Bezgin, D., Buhendwa, A., Chu, X., & Weigand, B. (2024). JAX-based differentiable fluid dynamics on GPU and end-to-end optimization. https://arxiv.org/abs/2406.19494

Yang, G., Xu, R., Tian, Y., Guo, S., Wu, J., & Chu, X. (2024). Data-driven methods for flow and transport in porous media: a review. https://arxiv.org/abs/2406.19939

Ackermann, S., Fest-Santini, S., Veyskarami, M., Helmig, R., & Santini, M. (2023). Experimental validation of a coupling concept for drop formation and growth onto porous materials by high-resolution X-ray imaging technique. International Journal of Multiphase Flow, 160, 104371. https://doi.org/10.1016/j.ijmultiphaseflow.2022.104371

Boon, W. M., Gläser, D., Helmig, R., & Yotov, I. (2023). Flux-mortar mixed finite element methods with multipoint flux approximation. Computer Methods in Applied Mechanics and Engineering, 405, 115870. https://doi.org/10.1016/j.cma.2022.115870

Burbulla, S., Formaggia, L., Rohde, C., & Scotti, A. (2023). Modeling fracture propagation in poro-elastic media combining phase-field and discrete fracture models. Computer Methods in Applied Mechanics and Engineering, 403, 115699. https://doi.org/10.1016/j.cma.2022.115699

Burbulla, S., Hörl, M., & Rohde, C. (2023). Flow in Porous Media with Fractures of Varying Aperture. SIAM Journal on Scientific Computing, 45(4), Article 4. https://doi.org/10.1137/22M1510406

Bürkner, P.-C., Kröker, I., Oladyshkin, S., & Nowak, W. (2023). A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms. Journal of Computational Physics, 488, 112210. https://doi.org/10.1016/j.jcp.2023.112210

Dastjerdi, S. V., Karadimitriou, N., Hassanizadeh, S. M., & Steeb, H. (2023). Experimental evaluation of fluid connectivity in two-phase flow in porous media. Advances in Water Resources, 104378. https://doi.org/10.1016/j.advwatres.2023.104378

Eggenweiler, E., Nickl, J., & Rybak, I. (2023). Justification of Generalized Interface Conditions for Stokes--Darcy Problems. In E. Franck, J. Fuhrmann, V. Michel-Dansac, & L. Navoret (Eds.), Finite Volumes for Complex Applications X---Volume 1, Elliptic and Parabolic Problems (pp. 275--283). Springer Nature Switzerland.

Ehlers, W. (2023). A historical review on porous-media research. PAMM. https://doi.org/10.1002/pamm.202300271

Flemisch, B., Nordbotten, J. M., Fernø, M., Juanes, R., Both, J. W., Class, H., Delshad, M., Doster, F., Ennis-King, J., Franc, J., Geiger, S., Gläser, D., Green, C., Gunning, J., Hajibeygi, H., Jackson, S. J., Jammoul, M., Karra, S., Li, J., … Zhang, Z. (2023). The FluidFlower Validation Benchmark Study for the Storage of CO\$\$\_2\$\$. Transport in Porous Media. https://doi.org/10.1007/s11242-023-01977-7

Gander, M. J., Lunowa, S. B., & Rohde, C. (2023). Non-Overlapping Schwarz Waveform-Relaxation for Nonlinear Advection-Diffusion Equations. SIAM Journal on Scientific Computing, 45(1), Article 1. https://doi.org/10.1137/21m1415005

Gao, H., Tatomir, A. B., Karadimitriou, N. K., Steeb, H., & Sauter, M. (2023). Effect of Pore Space Stagnant Zones on Interphase Mass Transfer in Porous Media, for Two-Phase Flow Conditions. Transport in Porous Media, 146(3), Article 3. https://doi.org/10.1007/s11242-022-01879-0

Gao, H., Tatomir, A. B., Karadimitriou, N. K., Steeb, H., & Sauter, M. (2023). Reservoir characterization by push-pull tests employing kinetic interface sensitive tracers - a pore-scale study for understanding large-scale processes. Advances in Water Resources, 174, 104424. https://doi.org/10.1016/j.advwatres.2023.104424

Gravelle, S., Haber-Pohlmeier, S., Mattea, C., Stapf, S., Holm, C., & Schlaich, A. (2023). NMR Investigation of Water in Salt Crusts: Insights from Experiments and Molecular Simulations. Langmuir, 39(22), Article 22. https://doi.org/10.1021/acs.langmuir.3c00036

Härter, J., Martínez, D. S., Poser, R., Weigand, B., & Lamanna, G. (2023). Coupling between a turbulent outer flow and an adjacent porous medium: High resolved Particle Image Velocimetry measurements. Physics of Fluids, 35(2), Article 2. https://doi.org/10.1063/5.0132193

Karadimitriou, N., and Marios S. Valavanides, Mouravas, K., Steeb, H., & and. (2023). Flow-Dependent Relative Permeability Scaling for Steady-State Two-Phase Flow in Porous  Media: Laboratory Validation on a Microfluidic Network. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description, 64(5), Article 5. https://doi.org/10.30632/pjv64n5-2023a4

Kiemle, S., Heck, K., Coltman, E., & Helmig, R. (2023). Stable Water Isotopologue Fractionation During Soil-Water Evaporation: Analysis Using a Coupled Soil-Atmosphere Model. Water Resources Research, 59(2), Article 2. https://doi.org/10.1029/2022wr032385

Kohlhaas, R., Kröker, I., Oladyshkin, S., & Nowak, W. (2023). Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator: concept for bias correction, assessment of surrogate reliability and its application to the carbon dioxide benchmark. Computational Geosciences, 27(3), Article 3. https://doi.org/10.1007/s10596-023-10199-1

Kröker, I., Oladyshkin, S., & Rybak, I. (2023). Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes--Darcy flow problems. Computational Geosciences. https://doi.org/10.1007/s10596-023-10236-z

Lee, D., Weinhardt, F., Hommel, J., Piotrowski, J., Class, H., & Steeb, H. (2023). Machine learning assists in increasing the time resolution of X-ray computed tomography applied to mineral precipitation in porous media. Scientific Reports, 13(1), Article 1. https://doi.org/10.1038/s41598-023-37523-0

Liu, Y., Wang, W., Yang, G., Nemati, H., & Chu, X. (2023). The interfacial modes and modal causality in a dispersed bubbly turbulent flow. Physics of Fluids, 35(8), Article 8. https://doi.org/10.1063/5.0159886

Lohrmann, C., & Holm, C. (2023). Optimal motility strategies for self-propelled agents to explore porous media. Phys. Rev. E, 108(5), Article 5. https://doi.org/10.1103/PhysRevE.108.054401

Lohrmann, C., & Holm, C. (2023). A novel model for biofilm initiation in porous media flow. Soft Matter, 19(36), Article 36. https://doi.org/10.1039/D3SM00575E

Mohammadi, F., Eggenweiler, E., Flemisch, B., Oladyshkin, S., Rybak, I., Schneider, M., & Weishaupt, K. (2023). A surrogate-assisted uncertainty-aware Bayesian validation framework and its application to coupling free flow and porous-medium flow. Computational Geosciences. https://doi.org/10.1007/s10596-023-10228-z

Mouris, K., Acuna Espinoza, E., Schwindt, S., Mohammadi, F., Haun, S., Wieprecht, S., & Oladyshkin, S. (2023). Stability criteria for Bayesian calibration of reservoir sedimentation models. Modeling Earth Systems and Environment. https://doi.org/10.1007/s40808-023-01712-7

Oladyshkin, S., Praditia, T., Kroeker, I., Mohammadi, F., Nowak, W., & Otte, S. (2023). The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory. Neural Networks, 166, 85--104. https://doi.org/10.1016/j.neunet.2023.06.036

Ruf, M., Lee, D., & Steeb, H. (2023). A multifunctional mechanical testing stage for micro x-ray computed tomography. Review of Scientific Instruments, 94, 085115. https://doi.org/10.1063/5.0153042

Schmidt, P., Steeb, H., & Renner, J. (2023). Diagnosing Hydro-Mechanical Effects in Subsurface Fluid Flow Through Fractures. Pure and Applied Geophysics. https://doi.org/10.1007/s00024-023-03304-z

Schwindt, S., Medrano, S. C., Mouris, K., Beckers, F., Haun, S., Nowak, W., Wieprecht, S., & Oladyshkin, S. (2023). Bayesian calibration points to misconceptions in three-dimensional hydrodynamic reservoir modeling. Water Resources Research. https://doi.org/10.1029/2022wr033660

Sonntag, A., Wagner, A., & Ehlers, W. (2023). Dynamic hydraulic fracturing in partially saturated porous media. Computer Methods in Applied Mechanics and Engineering, 414, 116121. https://doi.org/10.1016/j.cma.2023.116121

Strohbeck, P., Eggenweiler, E., & Rybak, I. (2023). A Modification of the Beavers--Joseph Condition for Arbitrary Flows to the Fluid--porous Interface. Transport in Porous Media, 147(3), Article 3. https://doi.org/10.1007/s11242-023-01919-3

Strohbeck, P., Riethmüller, C., Göddeke, D., & Rybak, I. (2023). Robust and Efficient Preconditioners for Stokes--Darcy Problems. In E. Franck, J. Fuhrmann, V. Michel-Dansac, & L. Navoret (Eds.), Finite Volumes for Complex Applications X---Volume 1, Elliptic and Parabolic Problems (pp. 375--383). Springer Nature Switzerland.

Taghizadeh, K., Ruf, M., Luding, S., & Steeb, H. (2023). X-ray 3D imaging–based microunderstanding of granular mixtures: Stiffness enhancement by adding small fractions of soft particles. Proceedings of the National Academy of Sciences, 120(26), Article 26. https://doi.org/10.1073/pnas.2219999120

Tatomir, A., Gao, H., Abdullah, H., Pötzl, C., Karadimitriou, N., Steeb, H., Licha, T., Class, H., Helmig, R., & Sauter, M. (2023). Estimation of Capillary-Associated NAPL-Water Interfacial Areas for Unconsolidated Porous Media by Kinetic Interface Sensitive (KIS) Tracer Method. Water Resources Research, 59(12), Article 12. https://doi.org/10.1029/2023WR035387

Tobias Köppl, R. H. (2023). Dimension Reduced Modeling of Blood Flow in Large Arteries. Springer Cham. https://doi.org/10.1007/978-3-031-33087-2

Trivedi, Z., Gehweiler, D., Wychowaniec, J. K., Ricken, T., Gueorguiev-Rüegg, B., Wagner, A., & Röhrle, O. (2023). Analysing the bone cement flow in the injection apparatus during vertebroplasty. PAMM, 23(1), Article 1. https://doi.org/10.1002/pamm.202200295

Veyskarami, M., Michalkowski, C., Bringedal, C., & Helmig, R. (2023). Droplet Formation, Growth and Detachment at the Interface of a Coupled Free-FLow--Porous Medium System: A New Model Development and Comparison. Transport in Porous Media. https://doi.org/10.1007/s11242-023-01944-2

Völter, J.-S. L., Ricken, T., & Röhrle, O. (2023). About the applicability of the theory of porous media for the modelling of non-isothermal material injection into porous structures. PAMM, 23(1), Article 1. https://doi.org/10.1002/pamm.202200070

Wagner, A., Sonntag, A., Reuschen, S., Nowak, W., & Ehlers, W. (2023). Hydraulically induced fracturing in heterogeneous porous media using a TPM-phase-field model and geostatistics. PAMM, 23(1), Article 1. https://doi.org/10.1002/pamm.202200118

Wieboldt, R., Lindt, K., Pohlmeier, A., Mattea, C., Stapf, S., & Haber-Pohlmeier, S. (2023). Effects of Salt Precipitation in the Topmost Soil Layer Investigated by NMR. Applied Magnetic Resonance. https://doi.org/10.1007/s00723-023-01568-1

Wu, H., Veyskarami, M., Schneider, M., & Helmig, R. (2023). A New Fully Implicit Two-Phase Pore-Network Model by Utilizing Regularization Strategies. Transport in Porous Media. https://doi.org/10.1007/s11242-023-02031-2

Zhuang, L., Hassanizadeh, S. M., & Qin, C.-Z. (2023). Experimental determination of in-plane permeability of nonwoven thin fibrous materials. Textile Research Journal, 93(19–20), Article 19–20. https://doi.org/10.1177/00405175231181089

Ahmadi, N., Muniruzzaman, M., Sprocati, R., Heck, K., Mosthaf, K., & Rolle, M. (2022). Coupling soil/atmosphere interactions and geochemical processes: A multiphase and multicomponent reactive transport approach. Advances in Water Resources, 104303. https://doi.org/10.1016/j.advwatres.2022.104303

Bringedal, C. (2022). Multiscale modeling and simulation of transport processes in porous media. Universität Stuttgart. https://doi.org/10.18419/OPUS-12829

Bringedal, C., Schollenberger, T., Pieters, G. J. M., van Duijn, C. J., & Helmig, R. (2022). Evaporation-Driven Density Instabilities in Saturated Porous Media. Transport in Porous Media. https://doi.org/10.1007/s11242-022-01772-w

Burbulla, S., Dedner, A., Hörl, M., & Rohde, C. (2022). Dune-MMesh: The Dune Grid Module for Moving Interfaces. Journal of Open Source Software, 7(74), Article 74. https://doi.org/10.21105/joss.03959

Burbulla, S., & Rohde, C. (2022). A finite-volume moving-mesh method for two-phase flow in fracturing porous media. Journal of Computational Physics, 111031. https://doi.org/10.1016/j.jcp.2022.111031

Cheng, K., Lu, Z., Xiao, S., Oladyshkin, S., & Nowak, W. (2022). Mixed covariance function kriging model for uncertainty quantification. International Journal for Uncertainty Quantification, 12(3), Article 3.

Eggenweiler, E., Discacciati, M., & Rybak, I. (2022). Analysis of the Stokes-Darcy problem with generalised interface conditions. ESAIM: Mathematical Modelling and Numerical Analysis, 56, 727–742. https://doi.org/10.1051/m2an/2022025

Ehlers, W., Sonntag, A., & Wagner, A. (2022). On Hydraulic Fracturing in Fully and Partially Saturated Brittle Porous Material. In F. Aldakheel, B. Hudobivnik, M. Soleimani, H. Wessels, C. Weißenfels, & M. Marino (Eds.), Current Trends and Open Problems in Computational Mechanics (pp. 111--119). Springer International Publishing. https://doi.org/10.1007/978-3-030-87312-7_12

Frey, S. (2022). Optimizing Grid Layouts for Level-of-Detail Exploration of Large Data Collections. Computer Graphics Forum, 41(3), Article 3. https://doi.org/10.1111/cgf.14537

Gander, M. J., Lunowa, S. B., & Rohde, C. (2022). Consistent and Asymptotic-Preserving Finite-Volume Robin Transmission Conditions for Singularly Perturbed Elliptic Equations. In S. C. Brenner, E. Chung, A. Klawonn, F. Kwok, J. Xu, & J. Zou (Eds.), Domain Decomposition Methods in Science and Engineering XXVI (pp. 443--450). Springer International Publishing. https://doi.org/10.1007/978-3-030-95025-5_47

Gonzalez-Nicolas, A., Bilgic, D., Kröker, I., Mayar, A., Trevisan, L., Steeb, H., Wieprecht, S., & Nowak, W. (2022). Optimal Exposure Time in Gamma-Ray Attenuation Experiments for Monitoring Time-Dependent Densities. Transport in Porous Media. https://doi.org/10.1007/s11242-022-01777-5

Gravelle, S., Beyer, D., Brito, M., Schlaich, A., & Holm, C. (2022). Reconstruction of NMR Relaxation Rates from Coarse-Grained Polymer Simulations. https://doi.org/10.26434/chemrxiv-2022-f90tv-v2

Gravelle, S., Holm, C., & Schlaich, A. (2022). Transport of thin water films: from thermally activated random walks to hydrodynamics. The Journal of Chemical Physics. https://doi.org/10.1063/5.0099646

Hommel, J., Gehring, L., Weinhardt, F., Ruf, M., & Steeb, H. (2022). Effects of Enzymatically Induced Carbonate Precipitation on Capillary Pressure–Saturation Relations. Minerals, 12(10), Article 10. https://doi.org/10.3390/min12101186

Kloker, L. H., & Bringedal, C. (2022). Solution approaches for evaporation-driven density instabilities in a slab of saturated porous media. Physics of Fluids, 34(9), Article 9. https://doi.org/10.1063/5.0110129

Koch, T. (2022). Projection-based resolved interface 1D-3D mixed-dimension method for embedded tubular network systems. Computers & Mathematics with Applications, 109, 15--29. https://doi.org/10.1016/j.camwa.2022.01.021

Kröker, I., & Oladyshkin, S. (2022). Arbitrary multi-resolution multi-wavelet-based polynomial chaos expansion for data-driven uncertainty quantification. Reliability Engineering &amp$\mathsemicolon$ System Safety, 108376. https://doi.org/10.1016/j.ress.2022.108376

Kurzeja, P., & Steeb, H. (2022). Acoustic waves in saturated porous media with gas bubbles. Philosophical Transactions of the Royal Society. https://doi.org/10.1098/rsta.2021.0370

Lee, D., Karadimitriou, N., Ruf, M., & Steeb, H. (2022). Detecting micro fractures: a comprehensive comparison of conventional and machine-learning-based segmentation methods. Solid Earth, 13(9), Article 9. https://doi.org/10.5194/se-13-1475-2022

Lunowa, S. B., Mascini, A., Bringedal, C., Bultreys, T., Cnudde, V., & Pop, I. S. (2022). Dynamic Effects during the Capillary Rise of Fluids in Cylindrical Tubes. Langmuir, 38(5), Article 5. https://doi.org/10.1021/acs.langmuir.1c02680

Michalkowski, C., Veyskarami, M., Bringedal, C., Helmig, R., & Schleper, V. (2022). Two-phase Flow Dynamics at the Interface Between GDL and Gas Distributor Channel Using a Pore-Network Model. Transport in Porous Media. https://doi.org/10.1007/s11242-022-01813-4

Michalkowski, C., Weishaupt, K., Schleper, V., & Helmig, R. (2022). Modeling of Two Phase Flow in a Hydrophobic Porous Medium Interacting with a Hydrophilic Structure. Transport in Porous Media. https://doi.org/10.1007/s11242-022-01816-1

Schmidt, F., Krüger, M., Keip, M.-A., & Hesch, C. (2022). Computational homogenization of higher-order continua. International Journal for Numerical Methods in Engineering, n/a(n/a), Article n/a. https://doi.org/10.1002/nme.6948

Schmidt, P., Jaust, A., Steeb, H., & Schulte, M. (2022). Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach. Computational Geosciences. https://doi.org/10.1007/s10596-021-10120-8

Scholz, L., & Bringedal, C. (2022). A Three-Dimensional Homogenization Approach for Effective Heat Transport in Thin Porous Media. Transport in Porous Media. https://doi.org/10.1007/s11242-022-01746-y

Seus, D., Radu, F. A., & Rohde, C. (2022). Towards hybrid two-phase modelling using linear domain decomposition. Numerical Methods for Partial Differential Equations. https://doi.org/10.1002/num.22906

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