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5Physics Informed Neural Network for porous media modelling
T. Praditia, S. Oladyshkin, and W. Nowak. InterPore German Chapter Meeting 2021 (online) : Book of Abstracts, page 15. Stuttgart, University of Stuttgart, (2021)
2 months ago by @unibiblio
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6Composing Partial Differential Equations with Physics-Aware Neural Networks
M. Karlbauer, T. Praditia, S. Otte, S. Oladyshkin, W. Nowak, and M. Butz. Proceedings of the 39th International Conference on Machine Learning, 162, page 10773-10801. PMLR, (2022)
2 months ago by @unibiblio
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4Uncertainty-aware Validation Benchmarks for Coupling Free Flow and Porous-Medium Flow
F. Mohammadi, E. Eggenweiler, B. Flemisch, S. Oladyshkin, I. Rybak, M. Schneider, and K. Weishaupt. Preprint, (2023)
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4Diagnosis of Model Errors With a Sliding Time-Window Bayesian Analysis
H. Hsueh, A. Guthke, T. Wöhling, and W. Nowak. Water resources research, 58 (2): e2021WR030590 (2022)
2 months ago by @unibiblio
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1Exporting sunshine : Planning South America’s energy transition with hydrogen exports
A. Galván, J. Haas, W. Nowak, R. Behnke-Palma, and C. Breyer. AGU Fall Meeting 2021, page GC15J-0787. American Geophysical Union, (2021)
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1Uncertainties and robustness with regard to the safety of a repository for high-level radioactive waste : introduction of a research initiative
K. Kurgyis, P. Achtziger-Zupančič, M. Bjorge, M. Boxberg, M. Broggi, J. Buchwald, O. Ernst, J. Flügge, A. Ganopolski, T. Graf and 19 other author(s). Environmental earth sciences, 83 (2): 82 (2024)
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1Uncertainty quantification using Bayesian arbitrary polynomial chaos for computationally demanding environmental modelling: conventional, sparse and adaptive strategy
S. Oladyshkin, F. Beckers, I. Kröker, F. Mohammadi, A. Heredia, M. Noack, B. Flemisch, S. Wieprecht, and W. Nowak. Computational Methods in Water Resources 2020, Stanford, CMWR Organizing Committee, (2020)
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2Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning
T. Schneider, A. Totounferoush, W. Nowak, and S. Staab. Preprint, (2023)
3 months ago by @unibiblio
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1Technical note: Overview and comparison of three quality control algorithms for rainfall data from personal weather stations
A. El Hachem, J. Seidel, T. O'Hara, R. Villalobos Herrera, A. Overeem, R. Uijlenhoet, A. Bárdossy, and L. Vos. Preprint, (2023)
3 months ago by @unibiblio
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6Comparison of Four Competing Invasion Percolation Models for Gas Flow in Porous Media
I. Banerjee, A. Guthke, C. Van de Ven, K. Mumford, and W. Nowak. Preprint, (2023)
3 months ago by @unibiblio
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1Optimized Predictive Coverage by Averaging Time-Windowed Bayesian Distributions
H. Hsueh, A. Guthke, T. Wöhling, and W. Nowak. Water resources research, 60 (5): e2022WR033280 (2024)
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1Data-Driven Prediction and Uncertainty Quantification of Process Parameters for Directed Energy Deposition
F. Hermann, A. Michaelowski, T. Brünnette, P. Reimann, S. Vogt, and T. Grof. Materials, 16 (23): 7308 (2023)
5 months ago by @unibiblio
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2Updated Perspective on Using Batteries for Mitigating Hydropeaking
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)
6 months ago by @unibiblio
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1Comprehensive uncertainty analysis for surface water and groundwater projections under climate change based on a lumped geo-hydrological model
F. Ejaz, A. Guthke, T. Wohling, and W. Nowak. Journal of hydrology, 626 (B): 130323 (2023)
7 months ago by @unibiblio
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1The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory
S. Oladyshkin, T. Praditia, I. Kröker, F. Mohammadi, W. Nowak, and S. Otte. Neural networks, 166 (September): 85-104 (2023)
7 months ago by @unibiblio
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1A computational approach to identifiability analysis for a model of the propagation and control of COVID-19 in Chile
R. Burger, G. Chowell, I. Kröker, and L. Lara-Díaz. Journal of biological dynamics, 17 (1): 2256774 (2023)
8 months ago by @unibiblio
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1Definition of Spatial Copula Based Dependence Using a Family of Non-Gaussian Spatial Random Fields
A. Bardossy, and S. Horning. Water resources research, 59 (7): e2023WR034446 (2023)
8 months ago by @unibiblio
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2Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes-Darcy flow problems
I. Kröker, S. Oladyshkin, and I. Rybak. Computational geosciences, 27 (5): 805-827 (2023)
8 months ago by @unibiblio
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5Information-Theoretic Scores for Bayesian Model Selection and Similarity Analysis : Concept and Application to a Groundwater Problem
M. Morales Oreamuno, S. Oladyshkin, and W. Nowak. Water resources research, 59 (7): e2022WR033711 (2023)
9 months ago by @unibiblio
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2Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes-Darcy flow problems
I. Kröker, S. Oladyshkin, and I. Rybak. Computational geosciences, (2023)
9 months ago by @unibiblio
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5Physics Informed Neural Network for porous media modelling

6Composing Partial Differential Equations with Physics-Aware Neural Networks

4Uncertainty-aware Validation Benchmarks for Coupling Free Flow and Porous-Medium Flow

4Diagnosis of Model Errors With a Sliding Time-Window Bayesian Analysis

1Exporting sunshine : Planning South America’s energy transition with hydrogen exports

1Uncertainties and robustness with regard to the safety of a repository for high-level radioactive waste : introduction of a research initiative

1Uncertainty quantification using Bayesian arbitrary polynomial chaos for computationally demanding environmental modelling: conventional, sparse and adaptive strategy

2Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning

1Technical note: Overview and comparison of three quality control algorithms for rainfall data from personal weather stations

6Comparison of Four Competing Invasion Percolation Models for Gas Flow in Porous Media

1Optimized Predictive Coverage by Averaging Time-Windowed Bayesian Distributions

1Data-Driven Prediction and Uncertainty Quantification of Process Parameters for Directed Energy Deposition

2Updated Perspective on Using Batteries for Mitigating Hydropeaking

1Comprehensive uncertainty analysis for surface water and groundwater projections under climate change based on a lumped geo-hydrological model

1The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory

1A computational approach to identifiability analysis for a model of the propagation and control of COVID-19 in Chile

1Definition of Spatial Copula Based Dependence Using a Family of Non-Gaussian Spatial Random Fields

2Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes-Darcy flow problems

5Information-Theoretic Scores for Bayesian Model Selection and Similarity Analysis : Concept and Application to a Groundwater Problem

2Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes-Darcy flow problems

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