This image shows Sebastian Most

Sebastian Most

M.Sc.

PhD student
Institute for Modelling Hydraulic and Environmental Systems (LS3/SimTech)

Contact

+49 711 685 60327
Business card (VCF)

Pfaffenwaldring 5a
D-70569 Stuttgart
Room: 2.31

  1. 2023

    1. Mouris K, Acuna Espinoza E, Schwindt S, Mohammadi F, Haun S, Wieprecht S, et al. Stability criteria for Bayesian calibration of reservoir sedimentation models. Modeling Earth Systems and Environment [Internet]. 2023; Available from: https://doi.org/10.1007/s40808-023-01712-7

  2. 2020

    1. Jackisch C, Schibalski A, Schröder B, Nowak W, Guthke A. Providing relevant uncertainty information to decision makers: Subjective post-processing of rigorous Bayesian uncertainty assessment of model projections. online: AGU Fall Meeting 2020; 2020.

  3. 2019

    1. Junne T, Haas J, Wang J, Moreno S, Naegler T, Buchgeister J, et al. Considering Ecological Sustainability in Planning the Future Electricity Supply of Chile – How Much More Does it Cost? Düsseldorf, Germany: International Renewable Energy Storage (IRES) Conference; 2019.
    2. Most S. Analysis and simulation of anomalous transport in porous media [Internet] [Doctoral dissertation]. Universität Stuttgart; 2019. Available from: https://elib.uni-stuttgart.de/handle/11682/10511
    3. Most S, Bolster D, Bijeljic B, Nowak W. Trajectories as training images to simulate advective-diffusive, non-Fickian transport. Water Resources Research. 2019;55:3465–80.
    4. Haas J, Hagen D, Nowak W. Energy storage and transmission systems to save the fish? Minimizing hydropeaking for little extra-cost. Sustainable Energy Technologies and Assessments. 2019;35:41–7.

  4. 2018

    1. Most S, Bijeljic B, Bolster D, Nowak W. Simulating three-dimensional non-Fickian transport across arbitrary Péclet regimes using training trajectories. Saint-Malo, France: XXII. International Conference on Computational Methods in Water Resources (CMWR); 2018.
    2. Sun AY, González-Nicolás A, Jeong H, Templeton TC. Metamodeling-based approach for risk assessment and cost estimation: Application to geological carbon sequestration planning. Computers & Geosciences [Internet]. 2018;113:70–80. Available from: https://www.sciencedirect.com/science/article/pii/S0098300417305393

  5. 2017

    1. Nowak W, Anindito Y, Haas J, Olivares M. Can re-regulation reservoirs and batteries cost-effectively mitigate sub-daily hydropeaking? In: Fall Meeting 2017, Abstract: PA23A-0363. New Orleans, LA, USA: American Geophysical Union (AGU); 2017.
    2. Most S, Bijeljic B, Bolster D, Dentz M, Nowak W. Simulating Non-Fickian Transport across Péclet Regimes by doing Lévy Flights in the Rank Space of Velocity. In: Fall Meeting 2017, Abstract: H31D-1545. New Orleans, LA, USA: American Geophysical Union (AGU); 2017.

  6. 2016

    1. Most S, Nowak W, Bijeljic B. Let’s move to spheres! Why a spherical coordinate system is rewarding when analyzing particle increment statistics. In: Geophys. Res. Abstr. Vienna: EGU General Assembly 2016; 2016.
    2. Most S, Bolster D, Bijeljic B, Nowak W. Coarse Graining of Non-Fickian Solute Transport – PTRW on Smoothed Velocity Fields. In: Fall Meeting 2016, Abstract: H51D-1501. San Francisco, CA, USA: American Geophysical Union (AGU); 2016.
    3. Most S, Bijeljic B, Nowak W. A copula-based analysis of the dependence structure and process memory of anomalous pore-scale transport. Cincinnati OH, USA: Interpore International Society for Porous Media: 8th International Conference on Porous Media & Annual Meeting; 2016.
    4. Most S, Bijeljic B, Nowak W. Evolution and persistence of cross-directional statistical dependence during finite-P’eclet transport through a real porous medium. Water Resources Research. 2016;52:8920–37.
    5. Most S, Jia N, Bijeljic B, Nowak W. Simulating Pre-Asymptotic, Non-Fickian Transport Although Doing Simple Random Walks - Supported By Empirical Pore-Scale Velocity Distributions and Memory Effects. In: Fall Meeting 2016, Abstract: H51D-1502. San Francisco, CA, USA: American Geophysical Union (AGU); 2016.

  7. 2015

    1. Most S, Bijeljic B, Nowak W. A complete fingerprint of non-Fickian mixing – an empirical statistical analysis. Padova, Italy: Interpore International Society for Porous Media: 7th International Conference on Porous Media & Annual Meeting; 2015.
    2. Most S, Bijeljic B, Nowak W. One Hundred Ways to be Non-Fickian - A Rigorous Multi-Variate Statistical Analysis of Pore-Scale Transport. In: General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-11212, 2015. Vienna, Austria: European Geosciences Union (EGU); 2015.
    3. Sinsbeck M, Tartakovsky D. Impact of Data Assimilation on Cost-Accuracy Tradeoff in Multi-Fidelity Models at the Example of an Infiltration Problem. In: General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-11902, 2015. Vienna, Austria: European Geosciences Union (EGU); 2015.
    4. Sinsbeck M, Tartakovsky D. Impact of data assimilation on cost-accuracy tradeoff in multifidelity models. SIAM/ASA Journal of Uncertainty Quantification. 2015;3:954–68.
    5. Most S, Bijeljic B, Nowak W. A Full Empirical Description of Mixing and Dilution - The Fingerprint of Non-Fickian Mixing. In: Fall Meeting 2015, Abstract: H51F-1429. San Francisco, CA, USA: American Geophysical Union (AGU); 2015.

  8. 2014

    1. Most S, Bijeljic B, Nowak W. Is There a Critical Distance for Fickian Transport? - a Statistical Approach to Sub-Fickian Transport Modelling in Porous Media. In: Fall Meeting 2014, Abstract: H23B-0868. San Francisco, CA, USA: American Geophysical Union (AGU); 2014.

07/2009 B.Sc. Angewandte Geowissenschaften, Karlsruhe Institute of Technology
07/2012 M.Sc. Angewandte Geowissenschaften, Karlsruhe Institute of Technology
Since 10/2013 Phd Student, Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart

GoogleScholar

Stochastic modeling of underground flow and transport processes

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