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2Augmenting a pure and hybrid vertical equilibrium scheme via data-driven surrogate modelling
I. Buntic, and B. Flemisch. (December 2025)
6 days ago by @simtech
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PN5
PN5-2(II)
EXC2075
PN5PN5-2(II)EXC2075
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3A framework for objectively comparing competing invasion percolation models based on highly-resolved image data
I. Banerjee, A. Guthke, C. Van de Ven, K. Mumford, and W. Nowak. PLOS ONE, (2025 (submitted))
7 days ago by @simtech
show all tags
PN5
EXC2075
updated
PN5EXC2075updated
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6Reliability sensitivity analysis with multiple failure domains based on an extended two-stage Markov chain Monte Carlo simulation
S. Xiao, and W. Nowak. Stochastic Environmental Research and Risk Assessment, (2025)
7 days ago by @simtech
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EXC2075
PN5
updated
EXC2075PN5updated
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3Bayesian3 Active Learning for Regularized Multi-Resolution Arbitrary Polynomial Chaos using Information Theory
I. Kröker, T. Brünnette, N. Wildt, M. Oreamuno, R. Kohlhaas, S. Oladyshkin, and W. Nowak. International Journal for Uncertainty Quantification, 15 (3): 21--54 (January 2025)
7 days ago by @simtech
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EXC2075
PN5
updated
EXC2075PN5updated
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3Estimating groundwater levels and their associated uncertainty through spatiotemporal Kriging of groundwater-level data
F. Ejaz, N. Wildt, T. Wöhling, and W. Nowak. Hydrogeology Journal, (2025 (submitted))
7 days ago by @simtech
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EXC2075
PN5
updated
EXC2075PN5updated
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3CODE: a global approach to ODE learning
N. Wildt, D. Tartakovsky, S. Oladyshkin, and W. Nowak. Journal of Machine Learning for Modeling and Computing, (2025 (submitted))
7 days ago by @simtech
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EXC2075
PN5
PNX
updated
EXC2075PN5PNXupdated
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2Coupled Simulation and Parameter Inversion for Neural System and Electrophysiological Muscle Models
C. Homs-Pons, R. Lautenschlager, L. Schmid, J. Ernst, D. Göddeke, O. Röhrle, M. Schulte, and D. Göddeke. GAMM-Mitteilungen, (March 2024)
29 days ago by @simtech
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PN5
PN5
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2Coupled Simulation and Parameter Inversion for Neural System and Electrophysiological Muscle Models
C. Homs-Pons, R. Lautenschlager, L. Schmid, J. Ernst, D. Göddeke, O. Röhrle, M. Schulte, and D. Göddeke. GAMM-Mitteilungen, (March 2024)
29 days ago by @mathematik
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PN5
cmcs
ians
PN5cmcsians
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6Numerical Investigation of Preferential Flow Paths in Enzymatically Induced Calcite Precipitation Supported by Bayesian Model Analysis
R. Kohlhaas, J. Hommel, F. Weinhardt, H. Class, S. Oladyshkin, and B. Flemisch. Transport in Porous Media, 152 (12): 105 (2025)
a month ago by @simtech
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EXC2075
PN5
PNX
updated
EXC2075PN5PNXupdated
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5HydroStartML: A combined machine learning and physics-based approach to reduce hydrological model spin-up time
L. Pawusch, S. Scheurer, W. Nowak, and R. Maxwell. Advances in Water Resources, (September 2025)
2 months ago by @simtechpuma
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EXC2075
PN5
PN5-6(II)
selected
EXC2075PN5PN5-6(II)selected
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5HydroStartML: A combined machine learning and physics-based approach to reduce hydrological model spin-up time
L. Pawusch, S. Scheurer, W. Nowak, and R. Maxwell. Advances in Water Resources, (September 2025)
2 months ago by @exc2075
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PN5
EXC2075
PN5-6(II)
selected
PN5EXC2075PN5-6(II)selected
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5Inferring Underwater Topography with Finite Volume Neural Networks
C. Horuz, M. Karlbauer, T. Praditia, S. Oladyshkin, W. Nowak, and S. Otte. ESANN 2025 Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence andMachine Learning, European Symposium on Artificial Neural Networks, (2025)
2 months ago by @simtechpuma
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EXC2075
PN5
misc
EXC2075PN5misc
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5Inferring Underwater Topography with Finite Volume Neural Networks
C. Horuz, M. Karlbauer, T. Praditia, S. Oladyshkin, W. Nowak, and S. Otte. ESANN 2025 Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence andMachine Learning, European Symposium on Artificial Neural Networks, (2025)
2 months ago by @exc2075
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PN5
misc
EXC2075
PN5miscEXC2075
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5Efficient Partition-of-Unity Radial-Basis-Function Interpolation for Coupled Problems
D. Schneider, and B. Uekermann. SIAM Journal on Scientific Computing, 47 (2): B558–B582 (April 2025)
2 months ago by @simtechpuma
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EXC2075
PN5
PN5-9(II)
selected
EXC2075PN5PN5-9(II)selected
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5Efficient Partition-of-Unity Radial-Basis-Function Interpolation for Coupled Problems
D. Schneider, and B. Uekermann. SIAM Journal on Scientific Computing, 47 (2): B558–B582 (April 2025)
2 months ago by @exc2075
show all tags
PN5
PN5-9(II)
EXC2075
selected
PN5PN5-9(II)EXC2075selected
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5Sequential Solution Strategies for the Cahn-Hilliard-Biot Model
E. Storvik, C. Riethmüller, J. Both, and F. Radu. Numerical Mathematics and Advanced Applications ENUMATH 2023, Volume 2, page 369--378. Cham, Springer Nature Switzerland, (2025)
2 months ago by @simtechpuma
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EXC2075
PN5
PN5-13
selected
EXC2075PN5PN5-13selected
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5Sequential Solution Strategies for the Cahn-Hilliard-Biot Model
E. Storvik, C. Riethmüller, J. Both, and F. Radu. Numerical Mathematics and Advanced Applications ENUMATH 2023, Volume 2, page 369--378. Cham, Springer Nature Switzerland, (2025)
2 months ago by @exc2075
show all tags
PN5-13
PN5
EXC2075
selected
PN5-13PN5EXC2075selected
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5HydroStartML: A combined machine learning and physics-based approach to reduce hydrological model spin-up time
L. Pawusch, S. Scheurer, W. Nowak, and R. Maxwell. Advances in Water Resources, (September 2025)
2 months ago by @simtech
show all tags
EXC2075
PN5
PN5-6(II)
curated
EXC2075PN5PN5-6(II)curated
copydeleteadd this publication to your clipboard
5Inferring Underwater Topography with Finite Volume Neural Networks
C. Horuz, M. Karlbauer, T. Praditia, S. Oladyshkin, W. Nowak, and S. Otte. ESANN 2025 Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence andMachine Learning, European Symposium on Artificial Neural Networks, (2025)
5 months ago by @simtech
show all tags
EXC2075
PN5
curated
EXC2075PN5curated
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5Efficient Partition-of-Unity Radial-Basis-Function Interpolation for Coupled Problems
D. Schneider, and B. Uekermann. SIAM Journal on Scientific Computing, 47 (2): B558–B582 (April 2025)
6 months ago by @simtech
show all tags
EXC2075
PN5
PN5-9(II)
curated
EXC2075PN5PN5-9(II)curated
copydeleteadd this publication to your clipboard

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PUMA

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publications (hide)702
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2Augmenting a pure and hybrid vertical equilibrium scheme via data-driven surrogate modelling

3A framework for objectively comparing competing invasion percolation models based on highly-resolved image data

6Reliability sensitivity analysis with multiple failure domains based on an extended two-stage Markov chain Monte Carlo simulation

3Bayesian3 Active Learning for Regularized Multi-Resolution Arbitrary Polynomial Chaos using Information Theory

3Estimating groundwater levels and their associated uncertainty through spatiotemporal Kriging of groundwater-level data

3CODE: a global approach to ODE learning

2Coupled Simulation and Parameter Inversion for Neural System and Electrophysiological Muscle Models

2Coupled Simulation and Parameter Inversion for Neural System and Electrophysiological Muscle Models

6Numerical Investigation of Preferential Flow Paths in Enzymatically Induced Calcite Precipitation Supported by Bayesian Model Analysis

5HydroStartML: A combined machine learning and physics-based approach to reduce hydrological model spin-up time

5HydroStartML: A combined machine learning and physics-based approach to reduce hydrological model spin-up time

5Inferring Underwater Topography with Finite Volume Neural Networks

5Inferring Underwater Topography with Finite Volume Neural Networks

5Efficient Partition-of-Unity Radial-Basis-Function Interpolation for Coupled Problems

5Efficient Partition-of-Unity Radial-Basis-Function Interpolation for Coupled Problems

5Sequential Solution Strategies for the Cahn-Hilliard-Biot Model

5Sequential Solution Strategies for the Cahn-Hilliard-Biot Model

5HydroStartML: A combined machine learning and physics-based approach to reduce hydrological model spin-up time

5Inferring Underwater Topography with Finite Volume Neural Networks

5Efficient Partition-of-Unity Radial-Basis-Function Interpolation for Coupled Problems

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