Publications in scientific journals

The list of published articles and dissertations reflects the success of SFB 1313.

List of Publications within SFB 1313

  1. 2023

    1. 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
    2. 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
    3. 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
    4. 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
    5. 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), A49--A73. https://doi.org/10.1137/21m1415005
  2. 2022

    1. 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
    2. 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
    3. 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
    4. 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), 3959. https://doi.org/10.21105/joss.03959
    5. 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), 17--30.
    6. Eggenweiler, E., Discacciati, M., & Rybak, I. (2022). Analysis of the Stokes-Darcy problem with generalised interface conditions. ESAIM: Mathematical Modelling and Numerical Analysis. https://doi.org/10.1051/m2an/2022025
    7. 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
    8. 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
    9. 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
    10. 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
    11. 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
    12. 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), 096606. https://doi.org/10.1063/5.0110129
    13. 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
    14. 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
    15. 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
    16. 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), 1475--1494. https://doi.org/10.5194/se-13-1475-2022
    17. 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
    18. 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
    19. 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
    20. 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
    21. 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
    22. 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
    23. Sharmin, S., Bastidas, M., Bringedal, C., & Pop, I. S. (2022). Upscaling a Navier-Stokes-Cahn-Hilliard model for two-phase porous-media flow with solute-dependent surface tension effects. Applicable Analysis, 0(0), 1–23. https://doi.org/10.1080/00036811.2022.2052858
    24. Swamynathan, S., Jobst, S., Kienle, D., & Keip, M.-A. (2022). Phase-field modeling of fracture in strain-hardening elastomers: Variational formulation, multiaxial experiments and validation. Engineering Fracture Mechanics, 108303. https://doi.org/10.1016/j.engfracmech.2022.108303
    25. Trivedi, Z., Gehweiler, D., Wychowaniec, J. K., Ricken, T., Gueorguiev-Rüegg, B., Wagner, A., & Röhrle, O. (2022). A continuum mechanical porous media model for vertebroplasty: Numerical simulations and experimental validation. https://doi.org/10.48550/arXiv.2209.14654
    26. Valavanides, M. S., Karadimitriou, N., & Steeb, H. (2022). Flow Dependent Relative Permeability Scaling for Steady-State Two-Phase Flow in Porous Media: Laboratory Validation on a Microfluidic Network. In SPWLA Annual Logging Symposium: Vol. Day 5 Wed, June 15, 2022. https://doi.org/10.30632/SPWLA-2022-0054
    27. van Westen, T., Hammer, M., Hafskjold, B., Aasen, A., Gross, J., & Wilhelmsen, Ø. (2022). Perturbation theories for fluids with short-ranged attractive forces: A case study of the Lennard-Jones spline fluid. The Journal of Chemical Physics, 156(10), 104504. https://doi.org/10.1063/5.0082690
    28. von Wolff, L., & Pop, I. S. (2022). Upscaling of a Cahn–Hilliard Navier–Stokes model with precipitation and dissolution in a thin strip. Journal of Fluid Mechanics, 941, A49--. https://doi.org/DOI: 10.1017/jfm.2022.308
    29. Wang, W., Lozano-Durán, A., Helmig, R., & Chu, X. (2022). Spatial and spectral characteristics of information flux between turbulent boundary layers and porous media. Journal of Fluid Mechanics, 949, A16--. https://doi.org/DOI: 10.1017/jfm.2022.770
    30. Weinhardt, F., Deng, J., Hommel, J., Vahid Dastjerdi, S., Gerlach, R., Steeb, H., & Class, H. (2022). Spatiotemporal Distribution of Precipitates and Mineral Phase Transition During Biomineralization Affect Porosity–Permeability Relationships. Transport in Porous Media. https://doi.org/10.1007/s11242-022-01782-8
    31. Zech, A., & de Winter, M. (2022). A Probabilistic Formulation of the Diffusion Coefficient in Porous Media as Function of Porosity. Transport in Porous Media. https://doi.org/10.1007/s11242-021-01737-5
  3. 2021

    1. Ackermann, S., Bringedal, C., & Helmig, R. (2021). Multi-scale three-domain approach for coupling free flow and flow in porous media including droplet-related interface processes. Journal of Computational Physics, 429, 109993. https://doi.org/10.1016/j.jcp.2020.109993
    2. Ahmadi, N., Heck, K., Rolle, M., Helmig, R., & Mosthaf, K. (2021). On multicomponent gas diffusion and coupling concepts for porous media and free flow: a benchmark study. Computational Geosciences. https://doi.org/10.1007/s10596-021-10057-y
    3. Balcewicz, M., Siegert, M., Gurris, M., Ruf, M., Krach, D., Steeb, H., & Saenger, E. H. (2021). Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone. Front. Earth Sci., 9, 673753.
    4. Chu, X., Wang, W., Müller, J., Von Schöning, H., Liu, Y., & Weigand, B. (2021). Turbulence Modulation and Energy Transfer in Turbulent Channel Flow Coupled with One-Side Porous Media. In W. E. Nagel, D. H. Kröner, & M. M. Resch (Eds.), High Performance Computing in Science and Engineering ’20 (pp. 373--386). Springer International Publishing.
    5. Chu, X., Müller, J., & Weigand, B. (2021). Interface-Resolved Direct Numerical Simulation of Turbulent Flow over Porous Media. In W. E. Nagel, D. H. Kröner, & M. M. Resch (Eds.), High Performance Computing in Science and Engineering ’19 (pp. 343--354). Springer International Publishing.
    6. Class, H., Bürkle, P., Sauerborn, T., Trötschler, O., Strauch, B., & Zimmer, M. (2021). On the role of density-driven dissolution of CO2 in phreatic karst systems. Water Resources Research, n/a(n/a), e2021WR030912. https://doi.org/10.1029/2021WR030912
    7. Eller, J., Matzerath, T., van Westen, T., & Gross, J. (2021). Predicting solvation free energies in non-polar solvents using classical density functional theory based on the PC-SAFT equation of state. The Journal of Chemical Physics, 154(24), 244106. https://doi.org/10.1063/5.0051201
    8. Eller, J., & Gross, J. (2021). Free-Energy-Averaged Potentials for Adsorption in Heterogeneous Slit Pores Using PC-SAFT Classical Density Functional Theory. Langmuir. https://doi.org/10.1021/acs.langmuir.0c03287
    9. Erfani, H., Karadimitriou, N., Nissan, A., Walczak, M. S., An, S., Berkowitz, B., & Niasar, V. (2021). Process-Dependent Solute Transport in Porous Media. Transport in Porous Media. https://doi.org/10.1007/s11242-021-01655-6
    10. Frey, S., Scheller, S., Karadimitriou, N., Lee, D., Reina, G., Steeb, H., & Ertl, T. (2021). Visual Analysis of Two-Phase Flow Displacement Processes in Porous Media. Computer Graphics Forum, n/a(n/a), Article n/a. https://doi.org/10.1111/cgf.14432
    11. Gao, H., Tatomir, A. B., Karadimitriou, N. K., Steeb, H., & Sauter, M. (2021). Effects of surface roughness on the kinetic interface-sensitive tracer transport during drainage processes. Advances in Water Resources, 104044. https://doi.org/10.1016/j.advwatres.2021.104044
    12. Gläser, D., Schneider, M., Flemisch, B., & Helmig, R. (2021). Comparison of cell- and vertex-centered finite-volume schemes for flow in fractured porous media. Journal of Computational Physics, 110715. https://doi.org/10.1016/j.jcp.2021.110715
    13. Haide, R., Fest-Santini, S., & Santini, M. (2021). Use of X-ray micro-computed tomography for the investigation of drying processes in porous media: A review. Drying Technology, 1--14. https://doi.org/10.1080/07373937.2021.1876723
    14. Kessler, C., Eller, J., Gross, J., & Hansen, N. (2021). Adsorption of light gases in covalent organic frameworks: comparison of classical density functional theory and grand canonical Monte Carlo simulations. Microporous and Mesoporous Materials, 111263. https://doi.org/10.1016/j.micromeso.2021.111263
    15. Koch, T., Weishaupt, K., Müller, J., Weigand, B., & Helmig, R. (2021). A (Dual) Network Model for Heat Transfer in Porous Media. Transport in Porous Media. https://doi.org/10.1007/s11242-021-01602-5
    16. Koch, T., Wu, H., & Schneider, M. (2021). Nonlinear mixed-dimension model for embedded tubular networks with application to root water uptake. Journal of Computational Physics, 110823. https://doi.org/10.1016/j.jcp.2021.110823
    17. Lee, M., Lohrmann, C., Szuttor, K., Auradou, H., & Holm, C. (2021). The influence of motility on bacterial accumulation in a microporous channel. Soft Matter. https://doi.org/10.1039/D0SM01595D
    18. Lunowa, S. B., Bringedal, C., & Pop, I. S. (2021). On an averaged model for immiscible two-phase flow with surface tension and dynamic contact angle in a thin strip. Studies in Applied Mathematics, n/a(n/a), Article n/a. https://doi.org/10.1111/sapm.12376
    19. Olivares, M. B., Bringedal, C., & Pop, I. S. (2021). A two-scale iterative scheme for a phase-field model for precipitation and dissolution in porous media. Applied Mathematics and Computation, 396, 125933. https://doi.org/10.1016/j.amc.2020.125933
    20. Polukhov, E., & Keip, M.-A. (2021). On the Computational Homogenization of Deformation–Diffusion Processes. PAMM, 20(1), Article 1. https://doi.org/10.1002/pamm.202000293
    21. Reuschen, S., Jobst, F., & Nowak, W. (2021). Efficient discretization-independent Bayesian inversion of high-dimensional multi-Gaussian priors using a hybrid MCMC. Water Resources Research. https://doi.org/10.1029/2021wr030051
    22. Reuschen, S., Nowak, W., & Guthke, A. (2021). The Four Ways to Consider Measurement Noise in Bayesian Model Selection—And Which One to Choose. Water Resources Research, 57(11), e2021WR030391. https://doi.org/10.1029/2021WR030391
    23. Rodenberg, B., Desai, I., Hertrich, R., Jaust, A., & Uekermann, B. (2021). FEniCS–preCICE: Coupling FEniCS to other simulation software. SoftwareX, 16, 100807. https://doi.org/10.1016/j.softx.2021.100807
    24. Schlaich, A., Jin, D., Bocquet, L., & Coasne, B. (2021). Electronic screening using a virtual Thomas--Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces. Nature Materials. https://doi.org/10.1038/s41563-021-01121-0
    25. Seitz, G., Mohammadi, F., & Class, H. (2021). Thermochemical Heat Storage in a Lab-Scale Indirectly Operated CaO/Ca(OH)2 Reactor—Numerical Modeling and Model Validation through Inverse Parameter Estimation. Applied Sciences, 11(2), 682. https://doi.org/10.3390/app11020682
    26. Seyedpour, S. M., Valizadeh, I., Kirmizakis, P., Doherty, R., & Ricken, T. (2021). Optimization of the Groundwater Remediation Process Using a Coupled Genetic Algorithm-Finite Difference Method. Water, 13(3), 383. https://doi.org/10.3390/w13030383
    27. Sonntag, A., Wagner, A., & Ehlers, W. (2021). Modelling fluid-driven fractures for partially saturated porous materials. PAMM, 20(1), Article 1. https://doi.org/10.1002/pamm.202000033
    28. Stierle, R., & Gross, J. (2021). Hydrodynamic density functional theory for mixtures from a variational principle and its application to droplet coalescence. The Journal of Chemical Physics, 155(13), 134101. https://doi.org/10.1063/5.0060088
    29. Trivedi, Z., Bleiler, C., Gehweiler, D., Gueorguiev-Rüegg, B., Ricken, T., Wagner, A., & Röhrle, O. (2021). Simulating vertebroplasty: A biomechanical challenge. PAMM, 20(1), Article 1. https://doi.org/10.1002/pamm.202000313
    30. von Wolff, L., Weinhardt, F., Class, H., Hommel, J., & Rohde, C. (2021). Investigation of Crystal Growth in Enzymatically Induced Calcite Precipitation by Micro-Fluidic Experimental Methods and Comparison with Mathematical Modeling. Transport in Porous Media. https://doi.org/10.1007/s11242-021-01560-y
    31. Wagner, A., Eggenweiler, E., Weinhardt, F., Trivedi, Z., Krach, D., Lohrmann, C., Jain, K., Karadimitriou, N., Bringedal, C., Voland, P., Holm, C., Class, H., Steeb, H., & Rybak, I. (2021). Permeability Estimation of Regular Porous Structures: A Benchmark for Comparison of Methods. Transport in Porous Media. https://doi.org/10.1007/s11242-021-01586-2
    32. Wang, W. (王文康), Yang, G. (杨光), Evrim, C., Terzis, A., Helmig, R., & Chu, X. (初旭). (2021). An assessment of turbulence transportation near regular and random permeable interfaces. Physics of Fluids, 33(11), 115103. https://doi.org/10.1063/5.0069311
    33. Weinhardt, F., Class, H., Dastjerdi, S. V., Karadimitriou, N., Lee, D., & Steeb, H. (2021). Experimental Methods and Imaging for Enzymatically Induced Calcite Precipitation in a Microfluidic Cell. Water Resources Research, 57(3), Article 3. https://doi.org/10.1029/2020wr029361
    34. Weishaupt, K., & Helmig, R. (2021). A dynamic and fully implicit non-isothermal, two-phase, two-component pore-network model coupled to single-phase free flow for the pore-scale description of evaporation processes. Water Resources Research. https://doi.org/10.1029/2020wr028772
    35. Xiao, S., Xu, T., Reuschen, S., Nowak, W., & Hendricks Franssen, H.-J. (2021). Bayesian Inversion of Multi-Gaussian Log-Conductivity Fields With Uncertain Hyperparameters: An Extension of Preconditioned Crank-Nicolson Markov Chain Monte Carlo With Parallel Tempering. Water Resources Research, 57(9), e2021WR030313. https://doi.org/10.1029/2021WR030313
    36. Yiotis, A., Karadimitriou, N. K., Zarikos, I., & Steeb, H. (2021). Pore-scale effects during the transition from capillary- to viscosity-dominated flow dynamics within microfluidic porous-like domains. Scientific Reports, 11(1), Article 1. https://doi.org/10.1038/s41598-021-83065-8
  4. 2020

    1. Agélas, L., Schneider, M., Enchéry, G., & Flemisch, B. (2020). Convergence of nonlinear finite volume schemes for two-phase porous media flow on general meshes. IMA Journal of Numerical Analysis. https://doi.org/10.1093/imanum/draa064
    2. Boon, W. M., & Nordbotten, J. M. (2020). Stable mixed finite elements for linear elasticity with thin inclusions. Computational Geosciences. https://doi.org/10.1007/s10596-020-10013-2
    3. Breitsprecher, K., Janssen, M., Srimuk, P., Mehdi, B. L., Presser, V., Holm, C., & Kondrat, S. (2020). How to speed up ion transport in nanopores. Nature Communications, 11(1), Article 1. https://doi.org/10.1038/s41467-020-19903-6
    4. Budisa, A., Boon, W. M., & Hu, X. (2020). Mixed-Dimensional Auxiliary Space Preconditioners. SIAM Journal on Scientific Computing, 42(5), A3367--A3396. https://doi.org/10.1137/19m1292618
    5. Frey, S. (2020). Temporally Dense Exploration of Moving and Deforming Shapes. Computer Graphics Forum, 40(1), 7--21. https://doi.org/10.1111/cgf.14092
    6. Gläser, D., Flemisch, B., Class, H., & Helmig, R. (2020). Frackit: a framework for stochastic fracture network generation and analysis. Journal of Open Source Software, 5(56), 2291. https://doi.org/10.21105/joss.02291
    7. Hommel, J., Akyel, A., Frieling, Z., Phillips, A. J., Gerlach, R., Cunningham, A. B., & Class, H. (2020). A Numerical Model for Enzymatically Induced Calcium Carbonate Precipitation. Applied Sciences, 10(13), 4538. https://doi.org/10.3390/app10134538
    8. Höge, M., Guthke, A., & Nowak, W. (2020). Bayesian Model Weighting: The Many Faces of Model Averaging. Water, 12(2), 309. https://doi.org/10.3390/w12020309
    9. Koch, T., Schneider, M., Helmig, R., & Jenny, P. (2020). Modeling tissue perfusion in terms of 1d-3d embedded mixed-dimension coupled problems with distributed sources. Journal of Computational Physics, 410, 109370. https://doi.org/10.1016/j.jcp.2020.109370
    10. Koch, T., Helmig, R., & Schneider, M. (2020). A new and consistent well model for one-phase flow in anisotropic porous media using a distributed source model. Journal of Computational Physics, 410, 109369. https://doi.org/10.1016/j.jcp.2020.109369
    11. Mitra, K., Köppl, T., Pop, I. S., van Duijn, C. J., & Helmig, R. (2020). Fronts in two-phase porous media flow problems: The effects of hysteresis and dynamic capillarity. Studies in Applied Mathematics, 144(4), 449--492. https://doi.org/10.1111/sapm.12304
    12. Müller, J., Offenhäuser, P., Reitzle, M., & Weigand, B. (2020). A Method to Reduce Load Imbalances in Simulations of Solidification Processes with Free Surface 3D. In M. M. Resch, Y. Kovalenko, W. Bez, E. Focht, & H. Kobayashi (Eds.), Sustained Simulation Performance 2018 and 2019 (pp. 163--184). Springer International Publishing.
    13. Poonoosamy, J., Haber-Pohlmeier, S., Deng, H., Deissmann, G., Klinkenberg, M., Gizatullin, B., Stapf, S., Brandt, F., Bosbach, D., & Pohlmeier, A. (2020). Combination of MRI and SEM to Assess Changes in the Chemical Properties and Permeability of Porous Media due to Barite Precipitation. Minerals, 10(3), 226. https://doi.org/10.3390/min10030226
    14. Schneider, M., Flemisch, B., Frey, S., Hermann, S., Iglezakis, D., Ruf, M., Schembera, B., Seeland, A., & Steeb, H. (2020). Datenmanagement im SFB 1313. https://doi.org/10.17192/BFDM.2020.1.8085
    15. Schout, G., Hartog, N., Hassanizadeh, S. M., Helmig, R., & Griffioen, J. (2020). Impact of groundwater flow on methane gas migration and retention in unconsolidated aquifers. Journal of Contaminant Hydrology, 230, 103619. https://doi.org/10.1016/j.jconhyd.2020.103619
    16. Stierle, R., Sauer, E., Eller, J., Theiss, M., Rehner, P., Ackermann, P., & Gross, J. (2020). Guide to efficient solution of PC-SAFT classical Density Functional Theory in various Coordinate Systems using fast Fourier and similar Transforms. Fluid Phase Equilibria, 504, 112306. https://doi.org/10.1016/j.fluid.2019.112306
    17. van Duijn, C. J., Mikelić, A., & Wick, T. (2020). Mathematical theory and simulations of thermoporoelasticity. Computer Methods in Applied Mechanics and Engineering, 366, 113048. https://doi.org/10.1016/j.cma.2020.113048
    18. Xu, T., Reuschen, S., Nowak, W., & Franssen, H.-J. H. (2020). Preconditioned Crank-Nicolson Markov Chain Monte Carlo Coupled With Parallel Tempering: An Efficient Method for Bayesian Inversion of Multi-Gaussian Log-Hydraulic Conductivity Fields. Water Resources Research, 56(8), Article 8. https://doi.org/10.1029/2020wr027110
  5. 2019

    1. Beck, M., & Class, H. (2019). Modelling fault reactivation with characteristic stress-drop terms. Advances in Geosciences, 49, 1--7. https://doi.org/10.5194/adgeo-49-1-2019
    2. Eurich, L., Shahmoradi, S., Wagner, A., Borja, R., & Ehlers, W. (2019). Simulating plant-cell dehydration using a double-porosity formulation based on the Theory of Porous Media. PAMM, 19(1), Article 1. https://doi.org/10.1002/pamm.201900243
    3. Kienle, D., & Keip, M.-A. (2019). Modeling of hydraulically induced fractures in elastic-plastic solids. PAMM, 19(1), Article 1. https://doi.org/10.1002/pamm.201900377
    4. Köppel, M., Martin, V., Jaffré, J., & Roberts, J. E. (2019). A Lagrange multiplier method for a discrete fracture model for flow in porous media. Computational Geosciences, 23(2), 239--253. https://doi.org/10.1007/s10596-018-9779-8
    5. Lee, M., Szuttor, K., & Holm, C. (2019). A computational model for bacterial run-and-tumble motion. The Journal of Chemical Physics, 150(17), 174111. https://doi.org/10.1063/1.5085836
    6. Trivedi, Z., Bleiler, C., Wagner, A., & Röhrle, O. (2019). A parametric permeability study for a simplified vertebra based on regular microstructures. PAMM, 19(1), Article 1. https://doi.org/10.1002/pamm.201900383
  6. 2018

    1. Gralka, P., Grottel, S., Staib, J., Schatz, K., Karch, G. K., Hirschler, M., Krone, M., Reina, G., Gumhold, S., & Ertl, T. (2018). 2016 IEEE Scientific Visualization Contest Winner: Visual and Structural Analysis of Point-based Simulation Ensembles. IEEE Computer Graphics and Applications, 38(3), 106–117. https://doi.org/10.1109/MCG.2017.3301120
    2. Seus, D., Mitra, K., Pop, I. S., Radu, F. A., & Rohde, C. (2018). A linear domain decomposition method for partially saturated flow in porous media. Computer Methods in Applied Mechanics and Engineering, 333, 331--355. https://doi.org/10.1016/j.cma.2018.01.029
  7. 2017

    1. Frey, S., & Ertl, T. (2017). Flow-Based Temporal Selection for Interactive Volume Visualization. Computer Graphics Forum, 36(8), 153–165. https://doi.org/10.1111/cgf.13070
  8. 0

    1. Lunowa, S. B., Mascini, A., Bringedal, C., Bultreys, T., Cnudde, V., & Pop, I. S. (n.d.). Dynamic Effects during the Capillary Rise of Fluids in Cylindrical Tubes. Langmuir, 0(0), null. https://doi.org/10.1021/acs.langmuir.1c02680
To the top of the page