Publications in scientific journals

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

List of Publications within SFB 1313

  1. 2022

    1. 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
    2. 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
    3. 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.
    4. 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
    5. 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
    6. 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
    7. 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
    8. 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
    9. 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
    10. 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
    11. 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
    12. 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
    13. 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
    14. 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
    15. 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
    16. 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
    17. 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

  2. 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. Berre, I., Boon, W. M., Flemisch, B., Fumagalli, A., Gläser, D., Keilegavlen, E., Scotti, A., Stefansson, I., Tatomir, A., Brenner, K., Burbulla, S., Devloo, P., Duran, O., Favino, M., Hennicker, J., Lee, I.-H., Lipnikov, K., Masson, R., Mosthaf, K., … Zulian, P. (2021). Verification benchmarks for single-phase flow in three-dimensional fractured porous media. Advances in Water Resources, 147, 103759. https://doi.org/10.1016/j.advwatres.2020.103759
    5. 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.
    6. 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.
    7. 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
    8. Eggenweiler, E., & Rybak, I. (2021). Effective coupling conditions for arbitrary flows in Stokes-Darcy systems. Multiscale Modeling and Simulation, 19(2), 731--757. https://doi.org/10.1137/20M1346638
    9. 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
    10. 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
    11. 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
    12. 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
    13. 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
    14. 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
    15. 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
    16. 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
    17. 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
    18. 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
    19. 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
    20. 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
    21. 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
    22. 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
    23. 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
    24. 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
    25. 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
    26. 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
    27. 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
    28. 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
    29. 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
    30. 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
    31. 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
    32. 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
    33. 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
    34. 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
    35. 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
    36. 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
    37. 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
    38. 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

  3. 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. Bahlmann, L. M., Smits, K., Heck, K., Coltman, E., Helmig, R., & Neuweiler, I. (2020). Gas Component Transport across the Soil-Atmosphere-Interface for Gases of Different Density: Experiments and Modeling. Water Resources Research. https://doi.org/10.1029/2020wr027600
    3. 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
    4. Boon, W. M. (2020). A parameter-robust iterative method for Stokes–Darcy problems retaining local mass conservation. ESAIM: Mathematical Modelling and Numerical Analysis, 54(6), 2045--2067. https://doi.org/10.1051/m2an/2020035
    5. 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
    6. 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
    7. Chu, X., Wang, W., Yang, G., Terzis, A., Helmig, R., & Weigand, B. (2020). Transport of Turbulence Across Permeable Interface in a Turbulent Channel Flow: Interface-Resolved Direct Numerical Simulation. Transport in Porous Media. https://doi.org/10.1007/s11242-020-01506-w
    8. de Winter, D. A. M., Weishaupt, K., Scheller, S., Frey, S., Raoof, A., Hassanizadeh, S. M., & Helmig, R. (2020). The Complexity of Porous Media Flow Characterized in a Microfluidic Model Based on Confocal Laser Scanning Microscopy and Micro-PIV. Transport in Porous Media. https://doi.org/10.1007/s11242-020-01515-9
    9. Emmert, S., Davis, K., Gerlach, R., & Class, H. (2020). The Role of Retardation, Attachment and Detachment Processes during Microbial Coal-Bed Methane Production after Organic Amendment. Water, 12(11), Article 11. https://doi.org/10.3390/w12113008
    10. 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
    11. 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
    12. Hasan, S., Niasar, V., Karadimitriou, N. K., Godinho, J. R. A., Vo, N. T., An, S., Rabbani, A., & Steeb, H. (2020). Direct characterization of solute transport in unsaturated porous media using fast X-ray synchrotron microtomography. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2011716117
    13. Heck, K., Coltman, E., Schneider, J., & Helmig, R. (2020). Influence of Radiation on Evaporation Rates: A Numerical Analysis. Water Resources Research, 56(10), Article 10. https://doi.org/10.1029/2020wr027332
    14. 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
    15. 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
    16. 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
    17. 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
    18. Konangi, S., Palakurthi, N. K., Karadimitriou, N. K., Comer, K., & Ghia, U. (2020). Comparison of Pore-scale Capillary Pressure to Macroscale Capillary Pressure using Direct Numerical Simulations of Drainage under Dynamic and Quasi-static Conditions. Advances in Water Resources, 103792. https://doi.org/10.1016/j.advwatres.2020.103792
    19. 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
    20. 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.
    21. Oladyshkin, S., Mohammadi, F., Kroeker, I., & Nowak, W. (2020). Bayesian3 Active Learning for the Gaussian Process Emulator Using Information Theory. Entropy, 22(8), 890. https://doi.org/10.3390/e22080890
    22. Piotrowski, J., Huisman, J. A., Nachshon, U., Pohlmeier, A., & Vereecken, H. (2020). Gas Permeability of Salt Crusts Formed by Evaporation from Porous Media. Geosciences, 10(11), Article 11. https://doi.org/10.3390/geosciences10110423
    23. Polukhov, E., & Keip, M.-A. (2020). Computational homogenization of transient  chemo-mechanical processes based on a variational minimization principle. Advanced Modeling and Simulation in Engineering Sciences, 7(1), Article 1. https://doi.org/10.1186/s40323-020-00161-6
    24. 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
    25. Rohde, C., & von Wolff, L. (2020). A Ternary Cahn-Hilliard Navier-Stokes Model for two Phase Flow with Precipitation and Dissolution. Mathematical Models and Methods in Applied Sciences. https://doi.org/10.1142/s0218202521500019
    26. Rohde, C., & von Wolff, L. (2020). Homogenization of Nonlocal Navier--Stokes--Korteweg Equations for Compressible Liquid-Vapor Flow in Porous Media. SIAM Journal on Mathematical Analysis, 52(6), 6155--6179. https://doi.org/10.1137/19m1242434
    27. Ruf, M., & Steeb, H. (2020). An open, modular, and flexible micro X-ray computed tomography system for research. Review of Scientific Instruments, 91(11), 113102--. https://doi.org/10.1063/5.0019541
    28. 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
    29. 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
    30. Sharmin, S., Bringedal, C., & Pop, I. S. (2020). On upscaling pore-scale models for two-phase flow with evolving interfaces. Advances in Water Resources, 142, 103646. https://doi.org/10.1016/j.advwatres.2020.103646
    31. 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
    32. 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
    33. Weishaupt, K., Terzis, A., Zarikos, I., Yang, G., Flemisch, B., de Winter, D. A. M., & Helmig, R. (2020). A Hybrid-Dimensional Coupled Pore-Network/Free-Flow Model Including Pore-Scale Slip and Its Application to a Micromodel Experiment. Transport in Porous Media. https://doi.org/10.1007/s11242-020-01477-y
    34. 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

  4. 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. Oladyshkin, S., & Nowak, W. (2019). The Connection between Bayesian Inference and Information Theory for Model Selection, Information Gain and Experimental Design. Entropy, 21(11), 1081. https://doi.org/10.3390/e21111081
    7. 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

  5. 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

  6. 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

  7. 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
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