J. Haas, D. Hagen, S. Moreno-Leiva, W. Nowak, J. Kern, and M. Olivares. 16th Conference on Sustainable Development of Energy, Water and Environment Systems : Book of Abstracts, page 764. Zagreb, Faculty of Mechanical Engineering and Naval Architecture, (2021)
A. Wagner, A. Sonntag, S. Reuschen, W. Nowak, and W. Ehlers. 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 23, 1, page e202200118. Wiley-VCH, (2023)
T. Praditia, M. Karlbauer, S. Otte, S. Oladyshkin, M. Butz, and W. Nowak. Dataset, (2022)Related to: Praditia, T., Karlbauer, M., Otte, S., Oladyshkin, S., Butz, M.V., Nowak, W.: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network. Earth and Space Science Open Archive (2022). doi: 10.1002/essoar.10511934.1.
M. Takamoto, T. Praditia, R. Leiteritz, D. MacKinlay, F. Alesiani, D. Pflüger, and M. Niepert. Dataset, (2022)Related to: Takamoto, M., Praditia, T., Leiteritz, R., MacKinlay, D., Alesiani, F., Pflüger, D. and Niepert, M.: PDEBench: An Extensive Benchmark for Scientific Machine Learning. submitted to the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks. arXiv: 2210.07182.
L. Kloker, and C. Bringedal. Dataset, (2022)Related to: Leon H. Kloker and Carina Bringedal, Solution approaches for evaporation-driven density instabilities in a slab of saturated porous media, Physics of Fluids 34, 096606 (2022). doi: 10.1063/5.0110129.
M. Takamoto, T. Praditia, R. Leiteritz, D. MacKinlay, F. Alesiani, D. Pflüger, and M. Niepert. Dataset, (2022)Related to: Takamoto, M., Praditia, T., Leiteritz, R., MacKinlay, D., Alesiani, F., Pflüger, D. and Niepert, M.: PDEBench: An Extensive Benchmark for Scientific Machine Learning. submitted to the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks.
I. Banerjee. Dataset, (2021)Related to: Banerjee, I., Guthke, A., Van de Ven, C. J. C., Mumford, K. G. & Nowak, W. (2021). Overcoming the Model-Data-Fit Problem in Porous Media: A Quantitative Method to Compare Invasion-Percolation Models to High-Resolution Data. Water Resources Research, 57, e2021WR029986. doi: 10.1029/2021WR029986.
C. Bringedal, G. Pieters, and C. Duijn. Dataset, (2022)Related to: C. Bringedal, T. Schollenberger, G. J. M. Pieters, C. J. van Duijn, R. Helmig, Evaporation-driven density instabilities in saturated porous media. Transport in Porous Media. 2022. doi: 10.1007/s11242-022-01772-w.
S. Most, N. Jia, B. Bijeljic, and W. Nowak. American Geophysical Union, Fall Meeting 2016, page H51D-1502. Smithsonian Astrophysical Observatory, (2016)
S. Most, D. Bolster, B. Bijeljic, and W. Nowak. American Geophysical Union, Fall Meeting 2016, page H51D-1501. Smithsonian Astrophysical Observatory, (2016)
J. Haas, W. Nowak, Y. Anindito, and M. Olivares. American Geophysical Union, Fall Meeting 2019, page PA23A-0363. Smithsonian Astrophysical Observatory, (2019)