Publikationen

Journals, Dissertationen, studentische Arbeiten und weitere Literatur des IWS

Studentische Arbeiten am IWS (letzte 50)

  1. 2026

    1. Grether, S. (2026). Model development for coupled shallow-water and saturated porous media systems [Forschungsmodul].
  2. 2025

    1. Heilemann, S. (2025). Untersuchung von entstehendenTransformationsprodukten in der Gasphase bei thermischen PFAS-Desorptionsexperimente (Masterarbeit) [Masterthesis].
    2. Gerner, D. (2025). Entfernung von PFAS aus Industrieabwasser - Vergleich von granularer Aktivkohle mit Schaumfraktionierung [Bachelorthesis].
    3. Huamanguillas, E. (2025). Assessment of detrimental soil alterations induced by agricultural iirigation with PFAS contaminated water [Masterthesis].
    4. Egin, M. (2025). Leaching Behavior of PFAS and Biotransformation of Precursors [Masterthesis].
    5. Bentoua, S. (2025). A Numerical Analysis of the Interplay of Free-Flow Effects and Salt Instabilities in Evaporation Processes [Masterarbeit].
    6. Ulmer, J. (2025). Analyzing the influence of non-neutral contact angle on the Cahn-Hilliard model [Project thesis].
    7. Maddikunta, J. (2025). Improving the Predictive Accuracy of an Existing Numerical Groundwater Model by Adjusting Hydrogeological Model Parameters [Masterarbeit].
    8. Mahmoudian Darvishani, R. (2025). CFD-Simulationen zur thermischen Auslegung eines Brennstoffzellen-Elektroschaltschranks [Masterarbeit].
  3. 2024

    1. Tardio Ascarrunz, L. (2024). Power Output Optimization of a Field-Scaled Microbial Fuel Cell in Porous Media [Masterthesis].
    2. Tavares Pereira, C. (2024). Säulenversuche zur Reduktion chlorierter Kohlenwasserstoffe mittels nullwertigen Eisenverbundmaterial in Kombination mit einem Gleichstromfeld (Bachelorarbeit).
    3. Kaiser, L. (2024). A Mixed-Dimensional Model for Evapotranspiration from Leaves [Master thesis].
    4. Kardan, F. (2024). Furthering the Development of the Thermal Online Model (TOM) with Validation using FEFLOW [Master thesis].
    5. Maichel, U. (2024). Kalibrierung von konzeptionellen Modellen für Biozementierung in Säulenexperimenten [Bachalorarbeit].
    6. Krell, L. (2024). Infiltration von Mikroplastik in porösen Medien: Einfluss von Stoffeigenschaften und Niederschlag [Bachelorarbeit].
    7. Cimen, B. (2024). Dependence of Hydrometeorological Variables on Soil and Drinking Water Pipe Temperatures (Masterarbeit) [Masterarbeit].
    8. Hasberg, L. (2024). Upscaling of Microbial Fuel Cells (Master thesis).
    9. Aucello, P. (2024). Adsorptionskinetik und -isothermen ausgewählter PFAS in Wasser mit Aktivkohlen sowie die Adsorption von PFAS in Boden-Aktivkohle-Mischungen (Bachelorarbeit).
    10. Müller, S. (2024). Infiltration von Mikroplastik in poröse Medien: Einfluss von verschiedenen Beregnungsszenarien [Bachelorarbeit].
    11. Ez-Zahra Cherqaoui, F. (2024). Investigating the effect of temperature on TDR measurements in different sands for a temperature range from 20°C to 90°C [Masterthesis].
    12. Palomeque Alvarez, E. (2024). Experimental investigation of oxygen limitation of aerobic TCE-degrading bacteria in combination with direct current in porous media [Masterthesis].
  4. 2023

    1. Heinz, L. (2023). Investigation of the influence of heterogeneities on evaporation-driven density instabilities for two-phase flow [Bachelorarbeit].
    2. Ferreira, T. (2023). Column experiments with nZVI particles in combination with direct current application to study the chlorine formation by electrolysis (Master Thesis) [Masterarbeit].
    3. Grether, S. (2023). Modelling salt precipitation in porous media: Development of a double-porosity model [Bachelor’s Thesis].
    4. Grether, S. (2023). Modelling flow and transport through a salt crust on top of a porous media [Project thesis].
    5. Wied, J. (2023). Validierung eines Wasser- und Wärmetransportmodells im Oberflächennahen Untergrund (Masterarbeit).
    6. Filipovic, A. (2023). Untersuchung naturnaher Flockungshilfsmittel als Alternative zu Polyacrylamid bei der Trinkwasseraufbereitung unter Berücksichtigung des Wiederverkeimungspotentials [Masterarbeit].
    7. Till, R. (2023). Effects on enzymatic induced calcite precipitation on porous media [Master thesis].
    8. Meyer, M. (2023). Bilanzierung und Bewertung eines Schwerölphasenaustrages durch Regenerierung mittels Airlift und dem Druckwellen-Impuls-Verfahren in einem Teeröl (und LHKW) verunreinigten Untersuchungsgebiet (Masterarbeit).
    9. Burkhardt, A. (2023). Design, set-up, operation and optimization of a large-scale bioaugmentaion experiment for the electrokinetic transport of TCE-degrading microorganisms using a direct current field (Masterthesis) [Masterarbeit].
    10. Lipp, D. (2023). Experimental investigation of process-dependent dispersion in porous media using inverse modeling (Masterthesis).
    11. Loaiza Villagómez, N. M. (2023). Experimental Investigation of Bioaugmentation and Electrokinetic Transport of Aerobic TCE Degrading Bacteria in Porous Media (Masterarbeit).
  5. 2022

    1. Zhao, Z. (2022). Numerical Modeling of Biocement Production [Masterarbeit].
    2. Madani, A. (2022). Coupling between a detailed model and a large-scale model for exchanging density-dependent salt fluxes [Masterarbeit].
    3. Böse, B. (2022). Analysis of the Stefan flow problem and comparison to an advection-diffusion formulation [Masterarbeit].
    4. Kostelecky, A. M. (2022). Coupled Turbulent Free- and Porous Media Flows: Investigations of Interfacial Roughness [Mastersthesis].
    5. Koprek, A. (2022). Thermodynamic Analysis of Carbon Dioxide Mass Transport in a Stagnant Water Column [Bachelorarbeit].
    6. Heckel, C. (2022). Combining a monolithic implementation of a locally-refined finite-volume staggered-grid method for the incompressible Navier-Stokes equations with an implementation of a SIMPLE-type solution algorithm [Bachelorarbeit und Propädeutikum].
    7. Chen, Q. (2022). Modeling of mechanical response to microbially induced calcite precipitation in porous media [Masterarbeit].
    8. Heilemann, S. (2022). Untersuchung der Sorptionskinetik von organischen Schadstoffen im Infinite-Sink-Verfahren [Bachelorarbeit].
    9. Schulz, S. (2022). Untersuchung einer modifizierten Allen-Cahn-Gleichung ohne krümmungsbedingte Bewegung [Bachelorarbeit].
    10. Wentges, A. (2022). Entwicklung eines Bestimmungsverfahrens zur summarischen Erfassung von Organofluorverbindungen aus Bodenproben [Bachelorarbeit].
    11. Hopp, R. (2022). Biofilm-Visualisierung in mikrofluidischen Zellen [Bachelorarbeit].
    12. Engelmeier, S. (2022). Experimental Investigations on Surfactant-Enhanced In-Situ Chemical Oxidation (S-ISCO) Using a 2D Model Approach [Masterarbeit].
    13. Kostelecky, A. M. (2022). Coupled Free-Flow and Porous Media Flow Systems: Analysis of Turbulent Free-Flow Condtions and Pore-Network Models [Forschungsmodul2].
    14. Moira, P. (2022). Accurate Flow Boundary Conditions for the Lattice Boltzmann Method [Masterarbeit].
    15. Abdellaoui, W. (2022). Modeling the use of microbially induced calcite precipitation for road construction [Masterarbeit].
    16. Brand, T. (2022). Numerische Simulation des wärmegekoppelten Stofftransports durch die Speicherhülle eines Erdbeckenspeichers [Masterarbeit].
    17. Keim, L. (2022). Coupled flow, transport, and geochemical processes in karstic fractures [Masterarbeit].
  6. 2021

    1. Herbich, L. (2021). Untersuchung der (De-)Sorption von PFAS in sterilen und nicht sterilen Säulenelutionsversuchen [Bachelorarbeit].

Dissertationen (letzte 50)

  1. 2024

    1. Herzog, B. M. (2024). Surfactant-enhanced in-situ chemical oxidation : developing a remediation design with experimental upscaling (Dissertation No. 310, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart). https://doi.org/10.18419/opus-15077
    2. Bierbaum, T. (2024). Immobilization of per- and polyfluoroalkyl substances (PFAS) : experimental and model-based analysis of leaching behavior (Dissertation No. 314, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart). https://doi.org/10.18419/opus-15572
  2. 2023

    1. Sadid, N. (2023). Bedload transport estimation in mountainous intermittent rivers and streams (Dissertation No. 298, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart). https://doi.org/10.18419/opus-13448
    2. Veyskarami, M. (2023). Coupled free-flow-porous media flow processes including drop formation (Vol. 303) [Promotionsschrift, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart]. http://dx.doi.org/10.18419/opus-13894
    3. Mohammadi, F. (2023). A surrogate-assisted Bayesian framework for uncertainty-aware validation benchmarks (Dissertation No. 299, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart). https://doi.org/10.18419/opus-13285
    4. Praditia, T. (2023). Physics-informed neural networks for learning dynamic, distributed and uncertain systems (Dissertation No. 300, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung). https://doi.org/10.18419/opus-13229
  3. 2022

    1. Schäfer Rodrigues Silva, A. (2022). Quantifying and visualizing model similarities for multi-model methods (Dissertation No. 290, Eigenverlag des Instituts für Wasser- und Umweltsystemmodelierung der Universität Stuttgart). https://doi.org/10.18419/opus-12399
    2. Glatz, K. (2022). Upscaling of nanoparticle transport in porous media (p. 132, 14 Seiten) [Hochschulschrift, Eigenverlag des Instituts für Wasser- und Umweltsystemmodelierung der Universität Stuttgart]. http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-124082
    3. Koca, K. (2022). Advanced experimental methods for investigating flow-biofilm-sediment interactions (Dissertation No. 287, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart). https://doi.org/10.18419/opus-12309
    4. Gao, Z. (2022). Spectral induced polarization of biochar in soil [Dissertation, Universität Stuttgart]. https://doi.org/10.18419/opus-12411
    5. Weinhardt, F. (2022). Porosity and permeability alterations in processes of biomineralization in porous media - microfluidic investigations and their interpretation (Dissertation No. 297, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart). https://doi.org/10.18419/opus-12822
    6. Pavía Santolamazza, D. (2022). Event-based flood estimation using a random forest algorithm for the regionalization in small catchments (Dissertation No. 294, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung). https://doi.org/10.18419/opus-12697
    7. Moreno Leiva, S. (2022). Optimal Planning of Water and Renewable Energy Systems for Copper Production Processes with Sector Coupling and Demand Flexibility (Dissertation No. 291, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung). https://doi.org/10.18419/opus-12708
    8. Herma, F. (2022). Data processing and model choice for flood prediction (No. 296, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung). https://doi.org/10.18419/opus-12713
    9. Modiri, E. (2022). Clustering simultaneous occurrences of extreme floods in the Neckar catchment (Dissertation No. 288, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung). https://doi.org/10.18419/opus-12127
    10. Mayar, M. A. (2022). High-resolution spatio-temporal measurements of the colmation phenomenon under laboratory conditions (Dissertation No. 289, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung). https://doi.org/10.18419/opus-12114
    11. Michalkowski, C. (2022). Modeling water transport at the interface between porous GDL and gas distributor of a PEM fuel cell cathode (Dissertation No. 286, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung). https://doi.org/10.18419/opus-12106
    12. Schönau, S. (2022). Modellierung von Bodenerosion und Sedimentaustrag bei Hochwasserereignissen am Beispiel des Einzugsgsgebiets der Rems (Dissertation No. 292, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart). https://doi.org/10.18419/opus-12296
    13. Haun, S. (2022). Advanced methods for a sustainable sediment management of reservoirs (Habilitationsschrift No. 295, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart). https://doi.org/10.18419/opus-12532
    14. Piotrowski, J. (2022). Effects of salt precipitation during evaporation on porosity and permeability of porous media [Dissertation, Universität Stuttgart]. https://doi.org/10.18419/opus-12376
  4. 2021

    1. Ackermann, S. (2021). A multi-scale approach for drop/porous-medium interaction (Vol. 281) [Promotionsschrift, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart]. https://doi.org/10.18419/opus-11577
    2. Becker, B. (2021). Development of efficient multiscale multiphysics models accounting for reversible flow at various subsurface energy storage sites (Dissertation No. 284, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart). https://doi.org/10.18419/opus-11753
    3. Beckers, F. (2021). Investigations on functional relationships between cohesive sediment erosion and sediment characteristics (E. des Instituts für Wasser-und Umweltsystemmodellierung der Universität Stuttgart, ed.) [Universität Stuttgart]. https://doi.org/dx.doi.org/10.18419/opus-11644
    4. Schlabing, D. (2021). Generating weather for climate impact assessment on lakes (Vol. 283) [Promotionsschrift, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart]. https://doi.org/10.18419/opus-12051
    5. Seitz, G. (2021). Modeling fixed-bed reactors for thermochemical heat storage with the reaction system CaO/Ca(OH)2 (Dissertation No. 278, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung). https://doi.org/10.18419/opus-11522
    6. Reuschen, S. (2021). Bayesian inversion and model selection of heterogeneities in geostatistical subsurface modeling (Dissertation No. 285, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung). https://doi.org/10.18419/opus-12013
    7. Emmert, S. (2021). Developing and calibrating a numerical model for microbially enhanced coal-bed methane production (Vol. 279) [Promotionsschrift, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart]. https://doi.org/10.18419/opus-11631
    8. Heck, K. (2021). Modelling and analysis of multicomponent transport at the interface between free- and porous-medium flow - influenced by radiation and roughness (Vol. 280) [Promotionsschrift, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart]. https://doi.org/10.18419/opus-11635
    9. Bakhshipour, A. E. (2021). Optimizing hybrid decentralized systems for sustainable urban drainage infrastructures planning [Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung]. https://doi.org/10.18419/OPUS-11494
  5. 2020

    1. Weishaupt, K. (2020). Model concepts for coupling free flow with porous medium flow at the pore-network scale : from single-phase flow to compositional non-isothermal two-phase flow (Vol. 273) [Dissertation, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung]. https://doi.org/10.18419/opus-10932
    2. Seitz, L. (2020). Development of new methods to apply a multiparameter approach - a first step towards the determination of colmation (Vol. 276) [Dissertation, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart]. https://doi.org/10.18419/OPUS-11249
    3. Koch, T. (2020). Mixed-dimension models for flow and transport processes in porous media with embedded tubular network systems (Vol. 274) [Dissertation, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung]. https://doi.org/10.18419/opus-10975
    4. Rodríguez Pretelín, A. (2020). Integrating transient flow conditions into groundwater well protection (Dissertation No. 272, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung). https://doi.org/10.18419/opus-10951
    5. Gläser, D. (2020). Discrete fracture modeling of multi-phase flow and deformation in fractured poroelastic media (Vol. 275) [Phdthesis, Stuttgart: Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart]. http://dx.doi.org/10.18419/opus-11040
    6. Wiekenkamp, I. (2020). Measuring and modelling spatiotemporal changes in hydrological response after partial deforestation [Dissertation, Universität Stuttgart]. https://doi.org/10.18419/opus-10908
  6. 2019

    1. Thom, M. (2019). Towards a better understanding of the biostabilization mechanisms of sediment beds (Dissertation No. 270, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung). https://doi.org/10.18419/opus-10808
    2. Most, S. (2019). Analysis and simulation of anomalous transport in porous media (Vol. 268) [Promotionsschrift, Universität Stuttgart, Institut für Wasser- Umweltsystemmodellierung]. https://elib.uni-stuttgart.de/handle/11682/10511
    3. Stolz, D. (2019). Die Nullspannungstemperatur in Gewichtsstaumauern unter Berücksichtigung der Festigkeitsentwicklung des Betons (Dissertation No. 271, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung). https://doi.org/10.18419/opus-10945
    4. Buchta, R. (2019). Entwicklung eines Ziel- und Bewertungssystems zur Schaffung nachhaltiger naturnaher Strukturen in großen sandgeprägten Flüssen des norddeutschen Tieflandes [Phdthesis, Stuttgart: Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart]. http://dx.doi.org/10.18419/opus-10520
    5. Brogi, C. (2019). Geophysics-based soil mapping for improved modelling of spatial variability in crop growth and yield [Dissertation, Universität Stuttgart]. https://doi.org/10.18419/opus-10746
    6. Haas, J. (2019). Optimal planning of hydropower and energy storage technologies for fully renewable power systems [Phdthesis, Stuttgart : Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart]. http://dx.doi.org/10.18419/opus-10297
    7. Beck, M. (2019). Conceptual approaches for the analysis of coupled hydraulic and geomechanical processes [Phdthesis, Stuttgart : Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart]. http://dx.doi.org/10.18419/opus-10418
    8. Schneider, M. (2019). Nonlinear finite volume schemes for complex flow processes and challenging grids [PhD Thesis, Stuttgart : Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart]. http://dx.doi.org/10.18419/opus-10416
  7. 2018

    1. Fenrich, E. K. (2018). Entwicklung eines ökologisch-ökonomischen Vernetzungsmodells für Wasserkraftanlagen und Mehrzweckspeicher [Phdthesis, Stuttgart : Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart]. http://dx.doi.org/10.18419/opus-10112
    2. Fetzer, T. (2018). Coupled Free and Porous-Medium Flow Processes Affected by Turbulence and Roughness - Models, Concepts and Analysis (Vol. 259) [Promotionsschrift, Universität Stuttgart, Institut für Wasser- und Umweltsystemmodellierung]. https://doi.org/10.18419/opus-10016
    3. Beck, M. (2018). Conceptual approaches for the analysis of coupled hydraulic and geomechanical processes (Vol. 265) [Promotionsschrift, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart]. https://doi.org/10.18419/opus-10418
    4. Yan, J. (2018). Nonlinear estimation of short time precipitation using weather radar and surface observations [Phdthesis, Stuttgart : Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart]. http://dx.doi.org/10.18419/opus-10270
    5. Schröder, H. C. (2018). Large-scale high head pico hydropower potential assessment [Phdthesis, Stuttgart : Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart]. http://dx.doi.org/10.18419/opus-10236
    6. Schmidt, H. (2018). Microbial stabilization of lotic fine sediments [Phdthesis, Stuttgart : Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart]. http://dx.doi.org/10.18419/opus-10015
    7. Harten, M. v. (2018). Analyse des Zuppinger-Wasserrades : hydraulische Optimierungen unter Berücksichtigung ökologischer Aspekte [Phdthesis, Stuttgart : Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart]. http://dx.doi.org/10.18419/opus-10322

Journals und Bücher (letzte 50)

  1. 2026 (submitted)

    1. Guthke, A., Bakhshipour, A. E., de Barros, F. P. J., Class, H., Daniell, J. E., Dittmer, U., Friedrich, M., Haas, J., Kropp, C., Merz, B., Oladyshkin, S., Schäfer, A., Sinsbeck, M., Straub, D., Terheiden, K., Wieprecht, S., & Nowak, W. (n.d.). Building Bridges Between Disciplines: A Generalized Mathematical Framework for Talking Quantitative Risk Assessment. Environmental Research: Infrastructure and Sustainability.
    2. Wei, R., Heredia, A., Nowak, W., Schwindt, S., & Oladyshkin, S. (n.d.). Bayesian Surrogate-Assisted Diagnostics of River Hydrodynamic Models via Local Model Evidence from Field Observations. Water Resources Research.
    3. Wang, J., Zhong, Q., Nowak, W., Li, D., & Shan, Y. (n.d.). An estimation method for real-time failure probability of a cascade dam group utilising monitoring data and ordered entropy. Structural Safety.
  2. 2026 (accepted)

    1. Wei, R., Le, A. V., Liu, B., Azari, M., Oladyshkin, S., Kappler, A., & Nowak, W. (n.d.). Household Sand Filters for Heavy Metal Removal Exhibit Limited Nitrification and Risk of Nitrate Contamination. Frontiers in Water.
    2. Wildt, N., Tartakovsky, D. M., Oladyshkin, S., & Nowak, W. (n.d.). CODE: a global approach to ODE learning. Journal of Machine Learning for Modeling and Computing.
  3. 2026

    1. Junginger, T., Klaas, N., & Kohl-Chandramohan, J. (2026). Bioaccumulation of gadolinium in Tetrahymena: Phagocytotic uptake leads to the formation of gadolinium phosphate–organic composite particles. European Journal of Protistology, Article 102. https://doi.org/10.1016/j.ejop.2025.126176
    2. Scheurer, S., Reiser, P., Brünnette, T., Nowak, W., Guthke, A., & Bürkner, P.-C. (2026). Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models. Transactions in Machine Learning Research. https://openreview.net/pdf?id=aVSoQXbfy1
    3. Kostelecky, A. M., Stefansson, I., Bringedal, C., Ghosh, T., Dahle, H. K., & Helmig, R. (2026). Local Thermal Non-equilibrium Models in Porous Media: A Comparative Study of Conduction Effects. Transport in Porous Media, 153, Article 5. https://doi.org/10.1007/s11242-026-02305-5
    4. Oladyshkin, S. (2026). Physics-Aware Learning for Environmental Systems: Surrogate Modeling and Constraint-Driven Machine Intelligence. Geophys. Res. Abstr., EGU26-3804. https://doi.org/10.5194/egusphere-egu26-3804
    5. Bøllingtoft, A., Nowak, W., Bjerg, P. L., Libæk, G., Christensen, A. G., & Troldborg, M. (2026). Can Semi-Quantitative Direct-Push Data Improve Contaminant Delineation and Mass Discharge in Groundwater? Groundwater, 64, Article 2. https://doi.org/10.1111/gwat.70034
    6. Grether, S., Kostelecky, A. M., Kiemle, S., Schneider, M., & Helmig, R. (2026). A Dual-Continuum Approach for Precipitated Salt in Porous Media: Accounting for Coupled Transport Processes. Transport in Porous Media, 153, Article 4. https://doi.org/10.1007/s11242-026-02302-8
    7. Banerjee, I., Guthke, A., Van de Ven, C. J. C., Mumford, K. G., & Nowak, W. (2026). A framework for objectively comparing competing invasion percolation models based on highly-resolved image data. Plos One, 21, Article 3. https://doi.org/10.1371/journal.pone.0327414
    8. Scheurer, S., Frenner, R., Brünnette, T., Oladyshkin, S., & Nowak, W. (2026). Efficient Confidence Interval Computation for Physics-Aware Machine Learning of Diffusion–Sorption Models. Frontiers in Water: Advances in Model-Data Fusion for Water Resources Problems, 8. https://doi.org/10.3389/frwa.2026.1813791
    9. Junginger, T. (2026). Transport, retention and degradation of the urban biocides terbutryn, diuron and octylisothiazolinone and the herbicide acetochlor in urban surface-soil interfaces. Journal of Contaminant Hydrology, Article 227. https://doi.org/10.1016/j.jconhyd.2025.104788
  4. 2025 (submitted)

    1. Ejaz, F., Wildt, N., Wöhling, T., & Nowak, W. (n.d.). Estimating groundwater levels and their associated uncertainty through spatiotemporal Kriging of groundwater-level data. Hydrogeology Journal.
  5. 2025

    1. Härter, J., Veyskarami, M., Schneider, M., Müller, J. C., Wu, H., Helmig, R., Weigand, B., Lamanna, G., & Poser, R. (2025). Self-Pumping Transpiration Cooling: A Joint Experimental and Numerical Study. Transport in Porous Media, 152, Article 8. https://doi.org/10.1007/s11242-025-02198-w
    2. Yeligeti, M., Gils, H. C., & Nowak, W. (2025). A composite metric for evaluating system resilience with non-idealistic performance curves. Plos One, 20, Article 11. https://doi.org/10.1371/journal.pone.0335909
    3. El Hachem, A., Seidel, J., & Bárdossy, A. (2025). Probabilistic downscaling of EURO-CORDEX precipitation data for the assessment of future areal precipitation extremes of different durations. Hydrology and Earth System Sciences, 29, Article 5. https://doi.org/10.5194/hess-29-1335-2025
    4. Chen, Zhixin (陈植欣), Helmig, R., & Hu, Liming (胡黎明). (2025). Heat and moisture migration in porous media during remediation using superheated steam injection: A coupled experimental and numerical study. Physics of Fluids, 37, Article 4. https://doi.org/10.1063/5.0262877
    5. Hu, L., Cao, Y., Sun, J., Chen, Z., Wang, M., Wu, Z., Zhu, X., Ji, L., & Wen, Q. (2025). Field Demonstration of In Situ Remediation of Contaminated Groundwater Using Ozone Micro–Nano-Bubble-Enhanced Oxidation. Environmental Science & Technology, 59, Article 11. https://doi.org/10.1021/acs.est.4c13344
    6. Ghosh, T., Bringedal, C., Rohde, C., & Helmig, R. (2025). A phase-field approach to model evaporation from porous media: Modeling and upscaling. Advances in Water Resources, 199, 104922. https://doi.org/10.1016/j.advwatres.2025.104922
    7. Keim, L., Weiß, F., Wendel, K., & Class, H. (2025). Replication Code for: Implementation Pitfalls for Carbonate Mineral Dissolution – a Technical Note [DaRUS]. https://doi.org/10.18419/DARUS-4716
    8. Pawusch, L., Scheurer, S., Nowak, W., & Maxwell, R. (2025). HydroStartML: A combined machine learning and physics-based approach to reduce hydrological model spin-up time. Advances in Water Resources, 206, 105124. https://doi.org/10.1016/j.advwatres.2025.105124
    9. Jamali, S., Punthakey, J. F., Ahmed, W., Qureshi, A. L., Raheem, A., Mitchell, M., & Ahmed, M. (2025). Groundwater modelling assessment of a coastal agriculture climate change adaptation strategy incorporating green infrastructure: An Indus Delta case study. Groundwater for Sustainable Development, 30, 101484. https://doi.org/10.1016/j.gsd.2025.101484
    10. Aricò, C., Helmig, R., & Yotov, I. (2025). Mixed finite element projection methods for the unsteady Stokes equations. Computer Methods in Applied Mechanics and Engineering, 435, 117616. https://doi.org/10.1016/j.cma.2024.117616
    11. Vahabzadeh, E., Buntic, I., Nazari, F., Flemisch, B., Helmig, R., & Niasar, V. (2025). Applicability of the Vertical Equilibrium model to underground hydrogen injection and withdrawal. International Journal of Hydrogen Energy, 106, 790–805. https://doi.org/10.1016/j.ijhydene.2025.01.201
    12. Kröker, I., Brünnette, T., Wildt, N., Oreamuno, M. F. M., Kohlhaas, R., Oladyshkin, S., & Nowak, W. (2025). Bayesian3 Active Learning for Regularized Multi-Resolution Arbitrary Polynomial Chaos using Information Theory. International Journal for Uncertainty Quantification, 15, Article 3. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2024052675
    13. Xiao, S., & Nowak, W. (2025). Reliability sensitivity analysis with multiple failure domains based on an extended two-stage Markov chain Monte Carlo simulation. Stochastic Environmental Research and Risk Assessment, 266, 111718. https://doi.org/10.1016/j.ress.2025.111718
    14. Dufner, L., Hofmann, P., Dobslaw, D., & Kern, F. (2025). Degradation of bacteria for water purification in a TiO2-coated photocatalytic reactor illuminated by solar light. Applied Water Science, 15, Article 5. https://doi.org/10.1007/s13201-025-02453-x
    15. Weiss, F. J., Keim, L., Wendel, K., & Class, H. (2025). Implementation Pitfalls for carbonate mineral dissolution – A technical note. Applied Geochemistry, 106611. https://doi.org/10.1016/j.apgeochem.2025.106611
    16. Bringedal, C., Kiemle, S., van Duijn, C. J., & Helmig, R. (2025). Impact of Saturation on Evaporation-Driven Density Instabilities in Porous Media: Mathematical and Numerical Analysis. Transport in Porous Media, 152, Article 10. https://doi.org/10.1007/s11242-025-02207-y
    17. Keim, L., Weiß, F., Wendel, K., & Class, H. (2025). Replication Data for: Implementation Pitfalls for Carbonate Mineral Dissolution – a Technical Note [DaRUS]. https://doi.org/10.18419/DARUS-4715
    18. Kohlhaas, R., Hommel, J., Weinhardt, F., Class, H., Oladyshkin, S., & Flemisch, B. (2025). Numerical Investigation of Preferential Flow Paths in Enzymatically Induced Calcite Precipitation Supported by Bayesian Model Analysis. Transport in Porous Media, 152, Article 12.
    19. Kostelecky, A. M. (2025, March). DuMuX code for dual network for: “Local Thermal Non-Equilibrium Models in Porous Media: A Comparative Study of Conduction effects” [DaRUS]. https://doi.org/10.18419/DARUS-4781
    20. Riazi, M., Bateni, S. M., Jun, C., Farooque, A. A., Khosravi, K., & Abolfathi, S. (2025). Enhancing rainfall-runoff simulation in data-poor watersheds: integrating remote sensing and hybrid decomposition for hydrologic modelling. Water Resources Management, 1–26.
    21. Keim, L., & Class, H. (2025). Rayleigh Invariance Allows the Estimation of Effective CO2 Fluxes Due To Convective Dissolution Into Water-Filled Fractures. Water Resources Research, 61, Article 2. https://doi.org/10.1029/2024WR037778
    22. Becker, S., Dang, T. T., Wei, R., & Kappler, A. (2025). Evaluation of Thiobacillus denitrificans’ sustainability in nitrate-reducing Fe(II) oxidation and the potential significance of Fe(II) as a growth-supporting reductant. FEMS Microbiol. Ecol., 101, Article 4. https://doi.org/10.1093/femsec/fiaf024
    23. Krach, D., Weinhardt, F., Wang, M., Schneider, M., Class, H., & Steeb, H. (2025). A novel geometry-informed drag term formulation for pseudo-3D Stokes simulations with varying apertures. Advances in Water Resources, 195, 104860. https://doi.org/10.1016/j.advwatres.2024.104860
    24. Köse, G., Zamora, J. D. S., Osmancevic, E., Janotte, F., Oladyshkin, S., & Nowak, W. (2025). Bayesian Failure Localization Identifies Inconsistencies between Water Distribution Network Models and Real-World Conditions. Journal of Water Resources Planning and Management, 151, Article 9. https://doi.org/10.1061/JWRMD5.WRENG-6786
    25. Kohl-Chandramohan, J., Schweikert, M., Junginger, T., Hartenbach, I., & Lemloh, M.-L. (2025). A common process of bioaccumulation of rare earth elements, iron, and aluminium in three Tetrahymena species. Ecotoxicology and Environmental Safety, 302, 118604. https://doi.org/10.1016/j.ecoenv.2025.118604
    26. Bursik, B., Stierle, R., Oukili, H., Schneider, M., Bauer, G., & Gross, J. (2025). Modelling Interfacial Dynamics Using Hydrodynamic Density Functional Theory: Dynamic Contact Angles and the Role of Local Viscosity. arXiv Preprint arXiv:2504.03032. https://doi.org/10.48550/arXiv.2504.03032
    27. Hu, L., Imorou, A. L., Chen, Z., & Xiao, H. (2025). Enhanced pressurized electro-osmotic dewatering technology for slurry. Separation and Purification Technology, 366, 132768. https://doi.org/10.1016/j.seppur.2025.132768
    28. Buntic, I., Schneider, M., Flemisch, B., & Helmig, R. (2025). A fully-implicit solving approach to an adaptive multi-scale model - coupling a vertical-equilibrium and full-dimensional model for compressible, multi-phase flow in porous media. Computational Geosciences, 29, Article 2. https://doi.org/10.1007/s10596-025-10351-z
    29. Olsson, J., Horváth-Varga, L., van de Beek, R., Graf, M., Overeem, A., Szaton, M., Bareš, V., Bezak, N., Chwala, C., Michele, C. D., Fencl, M., Seidel, J., & Todorović, A. (2025). How Close Are Opportunistic Rainfall Observations to Providing Societal Benefit? Journal of Hydrometeorology, 26, Article 11. https://doi.org/10.1175/JHM-D-25-0043.1
    30. Kostelecky, A. M. (2025, March). Replication Data for: “Local Thermal Non-Equilibrium Models in Porous Media: A Comparative Study of Conduction effects” [DaRUS]. https://doi.org/10.18419/DARUS-4782
    31. Kleinknecht, S. (2025). Remediation of chlorinated aliphatic hydrocarbons in groundwater using ZVI and low-voltage DC field: Long-term performance and insights from pilot-scale experimental study. Journal of Hazardous Materials, 500. https://doi.org/10.1016/j.jhazmat.2025.140517
    32. Grad, J.-N., Chourdakis, G., Flemisch, B., Holm, C., Keim, L., Uekermann, B., & Weeber, R. (2025). Organizing software community workshops: Experiences from three independent simulation software projects. Electronic Communications of the EASST, 85. https://doi.org/10.14279/eceasst.v85.2700
  6. 2024

    1. Coltman, E., Schneider, M., & Helmig, R. (2024). Data-Driven Closure Parametrizations with Metrics: Dispersive Transport. https://arxiv.org/abs/2311.13975
    2. 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
    3. Keim, L., & Class, H. (2024). Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures [DaRUS]. https://doi.org/10.18419/darus-4089

Konferenzveröffentlichungen (letzte 50)

  1. 2026

    1. Wei, R., Heredia, A., Nowak, W., Schwindt, S., & Oladyshkin, S. (2026, June). Bayesian Surrogate-Assisted Diagnostics of River Hydrodynamic Models via Local Model Evidence from Field Observations.
    2. Oladyshkin, S. (2026). Physics-Aware Learning for Environmental Systems: Surrogate Modeling and Constraint-Driven Machine Intelligence. Geophys. Res. Abstr., EGU26-3804. https://doi.org/10.5194/egusphere-egu26-3804
    3. Zulkarnaen, D., Keel, T., Mohammed, A., Green, A., and Christian Chwala, & Seidel, J. (2026). Quality Control Algorithms for Precipitation Data - An Intercomparison using Personal Weather Stations. Geophys. Res. Abstr., EGU26-17573. https://doi.org/10.5194/egusphere-egu26-17573
    4. Seidel, J., Zulkarnaen, D., Moccia, B., Ridolfi, E., Napolitano, F., Russo, F., & Bárdossy, A. (2026). Enhancing Rainfall Spatial Representation through Quality-Controlled Personal Weather Stations. Geophys. Res. Abstr., EGU26-13237. https://doi.org/10.5194/egusphere-egu26-13237
    5. Callau Medrano, S., Nowak, W., Oladyshkin, S., & Seidel, J. (2026, June). Let the data speak: Catchment as non-autonomous dynamical systems via a modulated storage-discharge function.
    6. Brünnette, T., Hörl, M., Kohlhaas, R., & Oukili, H. (2026, June). Bayesian Model Validation for Single-Phase Darcy Flow in Fractured Porous Media.
    7. Scheurer, S., Reiser, P., Brünnette, T., Nowak, W., Guthke, A., & Bürkner, P.-C. (2026, June). UA-SABI: Uncertainty-aware surrogate-based amortized Bayesian inference for computationally expensive subsurface flow and transport models.
    8. Wildt, N., Callau Medrano, S., Riazi, M., Oladyshkin, S., & Nowak, W. (2026, June). Deep arbitrary Polynomial Chaos Expansion ODE for Hydrological System Modeling: It is all about that Basis.
    9. Nowak, W., Ahmed, W., & Buccini, E. (2026). How far can we stretch big-data ideas with limited data? Machine-learned groundwater level predictions at a continental scale with smaller and smaller data sets. Geophys. Res. Abstr., EGU26-2374. https://doi.org/10.5194/egusphere-egu26-2374
    10. Scheurer, S., Frenner, R., Brünnette, T., Oladyshkin, S., & Nowak, W. (2026). Efficient Uncertainty Quantification for Physics-Aware Machine Learning of Diffusion-Sorption Models. Geophys. Res. Abstr., EGU26-3076. https://doi.org/10.5194/egusphere-egu26-3076
    11. Callau Medrano, S., Nowak, W., Oladyshkin, S., & Seidel, J. (2026). Let the data speak: Catchments as non-autonomous dynamical systems via a modulated storage–discharge function. Geophys. Res. Abstr., EGU26-13951. https://doi.org/10.5194/egusphere-egu26-13951
    12. Morales Oreamuno, M. F., Brünnette, T., Scheurer, S., Oladyshkin, S., & Nowak, W. (2026). Information-Theoretic Bayesian Active Learning for Surrogate Training and Inverse Modeling in Subsurface Transport Applications. Geophys. Res. Abstr., EGU26-4056. https://doi.org/10.5194/egusphere-egu26-4056
  2. 2025

    1. Morales Oreamuno, M. F., Menzel, N., Oladyshkin, S., Wagner, F. M., & Nowak, W. (2025). Surrogate-assisted Bayesian inference with ERT data for contaminant transport modelling in the subsurface. Geophys. Res. Abstr., 26, EGU25-12561.
    2. Keim, L., Weiß, F., Wendel, K., & Class, H. (2025). Replication Code for: Implementation Pitfalls for Carbonate Mineral Dissolution – a Technical Note [DaRUS]. https://doi.org/10.18419/DARUS-4716
    3. Pawusch, L., Scheurer, S., Nowak, W., & Maxwell, R. (2025). Development of a Combined Machine Learning and Physics-based Approach to Reduce Hydrologic Model Spin-up Time. Geophys. Res. Abstr., 26, EGU2025-10229. https://doi.org/10.5194/egusphere-egu25-10229
    4. Keim, L., Weiß, F., Wendel, K., & Class, H. (2025). Replication Data for: Implementation Pitfalls for Carbonate Mineral Dissolution – a Technical Note [DaRUS]. https://doi.org/10.18419/DARUS-4715
    5. Riazi, M., Bateni, S. M., Jun, C., Farooque, A. A., Khosravi, K., & Abolfathi, S. (2025). Enhancing rainfall-runoff simulation in data-poor watersheds: integrating remote sensing and hybrid decomposition for hydrologic modelling. Water Resources Management, 1–26.
    6. Wei, R., Le, A. V., Liu, B., Azari, M., Nowak, W., Kappler, A., & Oladyshkin, S. (2025). Modeling the Ammonium Removal Processes in Household Sand Filters. Geophys. Res. Abstr., 26, EGU25-205.
    7. Horuz, C. C., Karlbauer, M., Praditia, T., Oladyshkin, S., Nowak, W., & Otte, S. (2025). Inferring Underwater Topography with Finite Volume Neural Networks. ESANN 2025 Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence andMachine Learning. https://www.esann.org/sites/default/files/proceedings/2025/ES2025-12.pdf
    8. Brünnette, T., Kaiserauer, A., & Nowak, W. (2025, October). Localization of missing debris pieces after aircraft crashes - Stochastic simulation and inference.
    9. Haslauer, C., Kroeker, I., Nißler, E., Oladyshkin, S., Nowak, W., Class, H., & Osmancevic, E. (2025). Large Temperatures in Water Distribution Pipes as a Water Quality Threat: Measurements and Modelling. Geophys. Res. Abstr., EGU25-13131. https://doi.org/10.5194/egusphere-egu25-13131
  3. 2024

    1. Keim, L., & Class, H. (2024). Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures [DaRUS]. https://doi.org/10.18419/darus-4089
    2. Keim, L., & Class, H. (2024). Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures [DaRUS]. https://doi.org/10.18419/darus-4143
    3. Riazi, M., Khosravi, K., Samani, M. R., Han, S., & Eslamian, S. (2024). Assessing groundwater drought vulnerability through baseflow separation and index-based analysis under climate change projections. Groundwater for Sustainable Development, 25, 101179. https://doi.org/10.1016/j.gsd.2024.101179
    4. Wildt, N., & Oladyshkin, S. (2024, September). Learning Kinetic Sorption Mechanisms Using Ordinary Differential Arbitrary Polynomial Chaos Expansion.
    5. Bruennette, T., & Nowak, W. (2024). Efficient Inference for Non-Deterministic Fractures. geoENV2024 Book of Abstracts, 67–68.
    6. Krach, D., Weinhardt, F., Wang, M., Schneider, M., Class, H., & Steeb, H. (2024). Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures [DaRUS]. https://doi.org/10.18419/DARUS-4347
  4. 2023

    1. Keim, L., Class, H., Schirmer, L., Strauch, B., Wendel, K., & Zimmer, M. (2023). Code for: Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond With Aqueous Concentrations in a Stagnant Water Column [DaRUS]. https://doi.org/10.18419/darus-3276
    2. Riazi, M., Khosravi, K., Shahedi, K., Ahmad, S., Jun, C., Bateni, S. M., & Kazakis, N. (2023). Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms. Science of the Total Environment, 871, 162066.
    3. Weinhardt, F., Krach, D., Hommel, J., Class, H., & Steeb, H. (2023). Microfluidic and numerical investigation of anisotropic permeability alteration during biomineralization in porous media. In Interpore 2023: 15th Annual International Conference on Porous Media, May 22 - 25, 2023, Edinburgh, Scotland. https://interpore.org/
    4. Riazi, M., Karimi, M., Eslamian, S., & Riahi Samani, M. (2023). Comparative assessment of advanced machine learning techniques for simulation of lake water level fluctuations based on different dimensionality reduction methods. Earth Science Informatics, 16, Article 1. https://doi.org/10.1007/s12145-023-00951-7
    5. Lee, D., Weinhardt, F., Hommel, J., Class, H., & Steeb, H. (2023). Time resolved micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in sintered glass bead columns [DaRUS]. https://doi.org/10.18419/darus-2227
    6. Oukili, H., Ackermann, S., Buntic, I., Class, H., Coltman, E., Flemisch, B., Ghosh, T., Gläser, D., Grüninger, C., Hommel, J., Jupe, T., Keim, L., Kelm, M., Kiemle, S., Koch, T., Kostelecky, A. M., Pallam, H. V., Schneider, M., Stadler, L., et al. (2023). DuMux 3.7.0 [DaRUS]. https://doi.org/10.18419/DARUS-3405
    7. Keim, L., Class, H., Schirmer, L., Wendel, K., Strauch, B., & Zimmer, M. (2023). Data for: Measurement Campaign of Gaseous CO2 Concentrations in a Karst Cave with Aqueous Concentrations in a Stagnant Water Column 2021-2022. [DaRUS]. https://doi.org/10.18419/darus-3271
  5. 2022

    1. Ruf, M., Hommel, J., & Steeb, H. (2022). Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of medium column (sample 3) [DaRUS]. https://doi.org/10.18419/darus-2906
    2. Hommel, J., & Gehring, L. (2022). Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - column samples [DaRUS]. https://doi.org/10.18419/darus-1713
    3. Trötschler, O. (2022, November). Verfahrensauswahl, Anwendung und Monitoring einer Schadensherdsanierung mit ISCO in einem flachen Geringwasserleiter -Vortrag.
    4. Weinhardt, F., Deng, J., Steeb, H., & Class, H. (2022). Optical Microscopy and log data of Enzymatically Induced Calcite Precipitation (EICP) in microfluidic cells (Quasi-2D-structure) [DaRUS]. https://doi.org/10.18419/darus-1799
    5. Bozkurt, K., & Akyalçın, L. (2022, January). Measurements of Thermo-osmotic Water Fluxes Through Membrane Electrode Assemblies of a Polymer Electrolyte Membrane Fuel Cell. 6th International Hydrogen Technologies Congress (IHTEC-2022), January 23-26, 2022, Canakkale, Turkey.
    6. Herzog, B. (2022, September). „Surfactant-Supported In-Situ Oxidation for the Remediation of DNAPL-Groundwater Contaminations” (presentation).
    7. Ackermann, S. (2022). Modeling evaporation from leaves. In InterPore, 14th International Conference on Porous Media, 30 May - 02 June 2022. https://events.interpore.org/event/40/contributions/4884/
    8. Ruf, M., Hommel, J., & Steeb, H. (2022). Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of high column (sample 4) [DaRUS]. https://doi.org/10.18419/darus-2907
    9. Ghosh, T., & Bringedal, C. (2022). A phase-field approach to model evaporation in porous media: Upscaling from pore to Darcy scale. In 14th Annual Meeting of the International Society for Porous Media (InterPore 2022), Abu Dhabi, United Arab Emirates & Online, May 30 - June 2, 2022. https://events.interpore.org/event/40/contributions/4527/
    10. Weinhardt, F., Deng, J., Hommel, J., Vahid Dastjerdi, S., Gerlach, R., Steeb, H., & Class, H. (2022). Pore-scale mechanisms affecting permeability in biomineralization - Microfluidic investigations. In CMWR 2022: XXIV International Conference: Computational Methods in Water Resources, June 19-23, 2022, Gdańsk, Poland. https://cmwrconference.org/
    11. Herzog, B. (2022, November). Untersuchungen zur tensidunterstützten ISCO-Sanierung von DNAPL anhand von 2D-Modellen - Vortrag.
    12. Hommel, J., & Weinhardt, F. (2022). Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - microfluidics samples [DaRUS]. https://doi.org/10.18419/darus-2791
    13. Ruf, M., Hommel, J., & Steeb, H. (2022). Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of low column (sample 10) [DaRUS]. https://doi.org/10.18419/darus-2908
    14. Gehring, L., Weinhardt, F., & Hommel, J. (2022). Investigating enzymatically induced carbonate precipitation and its effects on capillary pressure-saturation relations. In CMWR 2022: XXIV International Conference: Computational Methods in Water Resources, 9-23 June 2022, Gdańsk, Poland. https://cmwrconference.org/
    15. Ghosh, T., & Bringedal, C. (2022). Upscaling of a Phase-field Model for Evaporation in Porous Media. In CMWR 2022: XXIV International Conference: Computational Methods in Water Resources, June 19 - 23, 2022, Gdańsk, Poland. https://cmwrconference.org/
    16. Schollenberger, T., Bringedal, C., Kiemle, S., Pieters, G. J. M., van Duijn, C. J., & Helmig, R. (2022). Phases of physical processes in the development of evaporation-driven density instabilities. In CMWR 2022: XXIV International Conference: Computational Methods in Water Resources, June 19-23, 2022, Gdańsk, Poland. https://cmwrconference.org/

Technische und wissenschaftliche Berichte (letzte 50)

  1. Oladyshkin, S. (2026). Physics-Aware Learning for Environmental Systems: Surrogate Modeling and Constraint-Driven Machine Intelligence. Geophys. Res. Abstr., EGU26-3804. https://doi.org/10.5194/egusphere-egu26-3804
  2. Keim, L., Weiß, F., Wendel, K., & Class, H. (2025). Replication Code for: Implementation Pitfalls for Carbonate Mineral Dissolution – a Technical Note [DaRUS]. https://doi.org/10.18419/DARUS-4716
  3. Keim, L., Weiß, F., Wendel, K., & Class, H. (2025). Replication Data for: Implementation Pitfalls for Carbonate Mineral Dissolution – a Technical Note [DaRUS]. https://doi.org/10.18419/DARUS-4715
  4. Riazi, M., Bateni, S. M., Jun, C., Farooque, A. A., Khosravi, K., & Abolfathi, S. (2025). Enhancing rainfall-runoff simulation in data-poor watersheds: integrating remote sensing and hybrid decomposition for hydrologic modelling. Water Resources Management, 1–26.
  5. Keim, L., & Class, H. (2024). Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures [DaRUS]. https://doi.org/10.18419/darus-4089
  6. Keim, L., & Class, H. (2024). Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures [DaRUS]. https://doi.org/10.18419/darus-4143
  7. Riazi, M., Khosravi, K., Samani, M. R., Han, S., & Eslamian, S. (2024). Assessing groundwater drought vulnerability through baseflow separation and index-based analysis under climate change projections. Groundwater for Sustainable Development, 25, 101179. https://doi.org/10.1016/j.gsd.2024.101179
  8. Bruennette, T., & Nowak, W. (2024). Efficient Inference for Non-Deterministic Fractures. geoENV2024 Book of Abstracts, 67–68.
  9. Krach, D., Weinhardt, F., Wang, M., Schneider, M., Class, H., & Steeb, H. (2024). Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures [DaRUS]. https://doi.org/10.18419/DARUS-4347
  10. Keim, L., Class, H., Schirmer, L., Strauch, B., Wendel, K., & Zimmer, M. (2023). Code for: Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond With Aqueous Concentrations in a Stagnant Water Column [DaRUS]. https://doi.org/10.18419/darus-3276
  11. Riazi, M., Khosravi, K., Shahedi, K., Ahmad, S., Jun, C., Bateni, S. M., & Kazakis, N. (2023). Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms. Science of the Total Environment, 871, 162066.
  12. Riazi, M., Karimi, M., Eslamian, S., & Riahi Samani, M. (2023). Comparative assessment of advanced machine learning techniques for simulation of lake water level fluctuations based on different dimensionality reduction methods. Earth Science Informatics, 16, Article 1. https://doi.org/10.1007/s12145-023-00951-7
  13. Lee, D., Weinhardt, F., Hommel, J., Class, H., & Steeb, H. (2023). Time resolved micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in sintered glass bead columns [DaRUS]. https://doi.org/10.18419/darus-2227
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