Stochastic Simulation and Safety Research for Hydrosystems (LS3)

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21 to 30 of 110 Results

code_tau_method.rar Feb 13, 2026 - Data for Tau method RAR Archive - 938.9 MB - MD5: ef361e2a6a19bec8e1897d2463e10520 This file contains 9 *.m files and 2 folders (data, mat). The association between functions can be seen in the ReadMe.txt. Note that "main_0.m" is needed to generate the plots with "fig_pdf_score.m", "p2_cal_perct_post.m", "plt_post_valid_i.m" to compare different taus. For the transitional and averaged parameter posteriors, run the function "plt...
Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network Nov 2, 2022 - PN 5-6 Praditia, Timothy; Karlbauer, Matthias; Otte, Sebastian; Oladyshkin, Sergey; Butz, Martin V.; Nowak, Wolfgang, 2022, "Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network", https://doi.org/10.18419/DARUS-3249, DaRUS, V1 This dataset contains diffusion-sorption data, generated with numerical simulation based on three different sorption isotherms, namely the linear, Freundlich, and Langmuir isotherms. This dataset is used to train, validate, and test all the deep learning models that are used in the publication "Learning Groundwater Contaminant Diffusion-Sorption Pr...
freundlich.rar Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network RAR Archive - 4.9 MB - MD5: 2bbf50daf95d7202805cae40478ab4f6 Dissolved and total contaminant concentration data generated with the Freundlich sorption isotherm.
langmuir.rar Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network RAR Archive - 4.6 MB - MD5: 13fc5f6002a31acb194132b43364068d Dissolved and total contaminant concentration data generated with the Langmuir sorption isotherm.
linear.rar Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network RAR Archive - 4.9 MB - MD5: d3d4f64769bbcc9f269ae8f7da229e86 Dissolved and total contaminant concentration data generated with the linear sorption isotherm.
Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence Oct 26, 2022 - Modeling Strategies for Gas migration in Subsurface Banerjee, Ishani; Walter, Peter, 2022, "Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence", https://doi.org/10.18419/DARUS-2815, DaRUS, V1 This dataset contains the codes used for implementing the method of forced probabilities of the manuscript: The Method of Forced Probabilities: A Computation Trick for Bayesian Model Evidence. Here, one can find the codes of implementation of the trick on stochastic invasion percolation (SIP) models discussed in the manuscript; it can be used by th...
load_truth.m Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence Plain Text - 901 B - MD5: ba0bf121bbddb33d36f3b7f0b33b5a3b
BMEfactors_Scen1.m Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence Plain Text - 282 B - MD5: 7320937c7552849557bd5f913dee4fdf
BMEfactors.m Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence Plain Text - 4.2 KB - MD5: 91e5a7c3050be111be0b2e80d0b545f9
Update_rule.m Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence Plain Text - 600 B - MD5: 0384179e3f205561736c2f61dff346fd

code_tau_method.rar

Feb 13, 2026 - Data for Tau method

RAR Archive - 938.9 MB -

This file contains 9 *.m files and 2 folders (data, mat). The association between functions can be seen in the ReadMe.txt. Note that "main_0.m" is needed to generate the plots with "fig_pdf_score.m", "p2_cal_perct_post.m", "plt_post_valid_i.m" to compare different taus. For the transitional and averaged parameter posteriors, run the function "plt...

Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network

Nov 2, 2022 - PN 5-6

Praditia, Timothy; Karlbauer, Matthias; Otte, Sebastian; Oladyshkin, Sergey; Butz, Martin V.; Nowak, Wolfgang, 2022, "Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network", https://doi.org/10.18419/DARUS-3249, DaRUS, V1

This dataset contains diffusion-sorption data, generated with numerical simulation based on three different sorption isotherms, namely the linear, Freundlich, and Langmuir isotherms. This dataset is used to train, validate, and test all the deep learning models that are used in the publication "Learning Groundwater Contaminant Diffusion-Sorption Pr...

freundlich.rar

Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network

RAR Archive - 4.9 MB -

Dissolved and total contaminant concentration data generated with the Freundlich sorption isotherm.

langmuir.rar

Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network

RAR Archive - 4.6 MB -

Dissolved and total contaminant concentration data generated with the Langmuir sorption isotherm.

linear.rar

Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network

RAR Archive - 4.9 MB -

Dissolved and total contaminant concentration data generated with the linear sorption isotherm.

Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

Oct 26, 2022 - Modeling Strategies for Gas migration in Subsurface

Banerjee, Ishani; Walter, Peter, 2022, "Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence", https://doi.org/10.18419/DARUS-2815, DaRUS, V1

This dataset contains the codes used for implementing the method of forced probabilities of the manuscript: The Method of Forced Probabilities: A Computation Trick for Bayesian Model Evidence. Here, one can find the codes of implementation of the trick on stochastic invasion percolation (SIP) models discussed in the manuscript; it can be used by th...

load_truth.m

Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

Plain Text - 901 B -

BMEfactors_Scen1.m

Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

Plain Text - 282 B -

BMEfactors.m

Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

Plain Text - 4.2 KB -

Update_rule.m

Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

Plain Text - 600 B -

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