References in zbMATH (referenced in 39 articles )

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  1. Chen, Yuntian; Huang, Dou; Zhang, Dongxiao; Zeng, Junsheng; Wang, Nanzhe; Zhang, Haoran; Yan, Jinyue: Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method (2021)
  2. Kuhlman, Kristopher L.; Malama, Bwalya: Uncoupling electrokinetic flow solutions (2021)
  3. Lykkegaard, Mikkel B.; Dodwell, Tim J.; Moxey, David: Accelerating uncertainty quantification of groundwater flow modelling using a deep neural network proxy (2021)
  4. Wang, Nanzhe; Chang, Haibin; Zhang, Dongxiao: Theory-guided auto-encoder for surrogate construction and inverse modeling (2021)
  5. Xu, Rui; Zhang, Dongxiao; Rong, Miao; Wang, Nanzhe: Weak form theory-guided neural network (TgNN-wf) for deep learning of subsurface single- and two-phase flow (2021)
  6. De Rango, Alessio; Furnari, Luca; Giordano, Andrea; Senatore, Alfonso; D’Ambrosio, Donato; Straface, Salvatore; Mendicino, Giuseppe: Preliminary model of saturated flow using cellular automata (2020)
  7. Egidi, N.; Gioia, E.; Maponi, P.; Spadoni, L.: A numerical solution of Richards equation: a simple method adaptable in parallel computing (2020)
  8. Pathania, Tinesh; Eldho, T. I.; Bottacin-Busolin, Andrea: Coupled simulation of groundwater flow and multispecies reactive transport in an unconfined aquifer using the element-free Galerkin method (2020)
  9. Pedretti, Daniele: Heterogeneity-controlled uncertain optimization of pump-and-treat systems explained through geological entropy (2020)
  10. Piret, Cécile; Dissanayake, Nadun; Gierke, John S.; Fornberg, Bengt: The radial basis functions method for improved numerical approximations of geological processes in heterogeneous systems (2020)
  11. Zanini, Andrea; D’Oria, Marco; Tanda, Maria Giovanna; Woodbury, Allan D.: Coupling empirical Bayes and Akaike’s Bayesian information criterion to estimate aquifer transmissivity fields (2020)
  12. Zheng, Qiang; Zeng, Lingzao; Karniadakis, George Em: Physics-informed semantic inpainting: application to geostatistical modeling (2020)
  13. Timo Koch, Dennis Gläser, Kilian Weishaupt, Sina Ackermann, Martin Beck, Beatrix Becker, Samuel Burbulla, Holger Class, Edward Coltman, Simon Emmert, Thomas Fetzer, Christoph Grüninger, Katharina Heck, Johannes Hommel, Theresa Kurz, Melanie Lipp, Farid Mohammadi, Samuel Scherrer, Martin Schneider, Gabriele Seitz, Leopold Stadler, Martin Utz, Felix Weinhardt, Bernd Flemisch: DuMuX 3 -- an open-source simulator for solving flow and transport problems in porous media with a focus on model coupling (2019) arXiv
  14. Zhang, Yong; Sun, HongGuang; Zheng, Chunmiao: Lagrangian solver for vector fractional diffusion in bounded anisotropic aquifers: development and application (2019)
  15. Anuprienko, D. V.; Kapyrin, I. V.: Modeling groundwater flow in unconfined conditions: numerical model and solvers’ efficiency (2018)
  16. D’Oria, Marco; Zanini, Andrea; Cupola, Fausto: Oscillatory pumping test to estimate aquifer hydraulic parameters in a Bayesian geostatistical framework (2018)
  17. Erhel, Jocelyne; Sabit, Souhila: Analysis of a global reactive transport model and results for the MoMaS benchmark (2017)
  18. Müller, Juliane; Woodbury, Joshua D.: GOSAC: global optimization with surrogate approximation of constraints (2017)
  19. Bakshevskaia, Veronika A.; Pozdniakov, Sergey P.: Simulation of hydraulic heterogeneity and upscaling permeability and dispersivity in Sandy-Clay formations (2016)
  20. Liu, Wei; Long, Xiaohan: A new nonconforming finite element with a conforming finite element approximation for a coupled continuum pipe-flow/Darcy model in Karst aquifers (2016)

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